Difference between revisions of "Ruby"

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==Ruby==
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== High level components of Ruby ==
=== High level components of Ruby ===
 
  
Ruby implements a detailed simulation model for the memory subsystem. It models inclusive/exclusive cache hierarchies with various replacement policies, coherence protocol implementations, interconnection networks, DMA and memory controllers, various sequencers that initiate memory requests and handle responses. The models are modular, flexible and highly configurable. Three key aspects of these models are:
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Ruby implements a detailed simulation model for the memory subsystem. It models inclusive/exclusive cache hierarchies with various [[Replacement_policy|replacement policies]], coherence protocol implementations, interconnection networks, DMA and memory controllers, various sequencers that initiate memory requests and handle responses. The models are modular, flexible and highly configurable. Three key aspects of these models are:
  
 
# Separation of concerns -- for example, the coherence protocol specifications are separate from the replacement policies and cache index mapping, the network topology is specified separately from the implementation.
 
# Separation of concerns -- for example, the coherence protocol specifications are separate from the replacement policies and cache index mapping, the network topology is specified separately from the implementation.
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# Rapid prototyping -- a high-level specification language, SLICC, is used to specify functionality of various controllers.
 
# Rapid prototyping -- a high-level specification language, SLICC, is used to specify functionality of various controllers.
  
  Image upload in progress
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The following picture, taken from the GEMS tutorial in ISCA 2005, shows a high-level view of the main components in Ruby.
  [[Image:ruby_overview.jpg]]
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[[File:ruby_overview.jpg|600px|center]]
  
The main components of Ruby are as follows:
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=== SLICC + Coherence protocols: ===
 +
 
 +
'''''[[SLICC]]''''' stands for ''Specification Language for Implementing Cache Coherence''. It is a domain specific language that is used for specifying cache coherence protocols. In essence, a cache coherence protocol behaves like a state machine. SLICC is used for specifying the behavior of the state machine. Since the aim is to model the hardware as close as possible, SLICC imposes constraints on the state machines that can be specified. For example, SLICC can impose restrictions on the number of transitions that can take place in a single cycle. Apart from protocol specification, SLICC also combines together some of the components in the memory model. As can be seen in the following picture, the state machine takes its input from the input ports of the inter-connection network and queues the output at the output ports of the network, thus tying together the cache / memory controllers with the inter-connection network itself.
  
==== SLICC + Coherence protocols: ====
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[[File:slicc_overview.jpg|700px|center]]
    Need to say what is SLICC and whats its purpose.
 
    Talk about high level strcture of a typical coherence protocol file, that SLICC uses to generate code.
 
    A simple example structure from protocol like MI_example can help here.
 
  
''Nilay will do it''
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The following cache coherence protocols are supported:
  
==== Protocol independent memory components ====
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# '''[[MI_example]]''': example protocol, 1-level cache.
# Cache Memory
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# '''[[MESI_Two_Level]]''': single chip, 2-level caches, strictly-inclusive hierarchy.
# Replacement Policies
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# '''[[MOESI_CMP_directory]]''': multiple chips, 2-level caches, non-inclusive (neither strictly inclusive nor exclusive) hierarchy.
# Memory Controller
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# '''[[MOESI_CMP_token]]''': 2-level caches. TODO.
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# '''[[MOESI_hammer]]''': single chip, 2-level private caches, strictly-exclusive hierarchy.
 +
# '''[[Garnet_standalone]]''': protocol to run the Garnet network in a standalone manner.
 +
# '''[[MESI Three Level]]''': 3-level caches, strictly-inclusive hierarchy.
  
''Arka will do it''
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Commonly used notations and data structures in the protocols have been described in detail [[Cache Coherence Protocols|here]].
  
==== Interconnection Network ====
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=== Protocol independent memory components ===
  
The interconnection network connects the various components of the memory hierarchy (cache, memory, dma controllers) together. There are 3 key parts to this:
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# '''Sequencer'''
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# '''Cache Memory'''
# '''Topology specification''': These are specified with python files that describe the topology (mesh/crossbar/ etc.), link latencies and link bandwidth. The network topology is thus configurable.
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# '''Replacement Policies'''
# '''Cycle-accurate network model''': [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4919636 Garnet] is a cycle accurate, pipelined, network model that builds and simulates the specified topology. It simulates the router pipeline and movement of flits across the network subject to the routing algorithm, latency and bandwidth constraints.
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# '''Memory Controller'''
# '''Network Power model''': The [http://www.princeton.edu/~peh/orion.html Orion] power model is used to keep track of router and link activity in the network. It calculates both router static power and link and router dynamic power as flits move through the network.
 
  
More details about the network model implementation are described [[#Interconnection_Network_2|here]]
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In general cache coherence protocol independent components comprises of the Sequencer, Cache Memory structure, [[Replacement_policy|replacement policies]] and the Memory controller. The Sequencer class is responsible for feeding the memory subsystem (including the caches and the off-chip memory) with load/store/atomic memory requests from the processor. Every memory request when completed by the memory subsystem also send back the response to the processor via the Sequencer. There is one Sequencer for each hardware thread (or core) simulated in the system. The Cache Memory models a set-associative cache structure with parameterizable size, associativity, and replacement policy. L1, L2, L3 caches in the system are instances of Cache Memory, if they exist. The replacement policies are kept modular from the Cache Memory, so that different instances of Cache Memory can use different replacement policies of their choice. The Memory Controller is responsible for simulating and servicing any request that misses on all the on-chip caches of the simulated system. Memory Controller currently simple, but models DRAM ban contention, DRAM refresh faithfully. It also models close-page policy for DRAM buffer. 
  
=== Implementation of Ruby ===
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'''''Each component is described in details [[Coherence-Protocol-Independent Memory Components|here]].'''''
  
==== Directory Structure ====
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=== Interconnection Network ===
  
* '''src/mem/'''
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The interconnection network connects the various components of the memory hierarchy (cache, memory, dma controllers) together.  
** '''protocols''': SLICC specification for coherence protocols
 
** '''slicc''': implementation for SLICC parser and code generator
 
** '''ruby'''
 
*** '''buffers''': implementation for message buffers that are used for exchanging information between the cache, directory, memory controllers and the interconnect
 
*** '''common''': frequently used data structures, e.g. Address (with bit-manipulation methods), histogram, data block, basic types (int32, uint64, etc.)
 
*** '''eventqueue''': Ruby’s event queue mechanism for scheduling events
 
*** '''filters''': various Bloom filters
 
*** '''network''': Interconnect implementation, sample topology specification, network power calculations
 
*** '''profiler''': Profiling for cache events, memory controller events
 
*** '''recorder''':  Cache warmup and access trace recording
 
*** '''slicc_interface''': Message data structure, various mappings (e.g. address to directory node), utility functions (e.g. conversion between address & int, convert address to cache line address)
 
*** '''system''': Protocol independent memory components – CacheMemory, DirectoryMemory, Sequencer, RubyPort
 
  
==== SLICC ====
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[[File:Interconnection_network.jpg|600px|center]]
    Explain functionality/ capability of SLICC
 
    Talk about
 
    AST, Symbols, Parser and code generation in some details but NO need to cover every file and/or functions.
 
    Few examples should suffice.
 
  
''Nilay will do it''
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The key components of an interconnection network are:
  
==== Protocols ====
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# '''Topology'''
    Need to talk about each protocol being shipped. Need to talk about protocol specific configuration parameters.
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# '''Routing'''
    NO need to explain every action or every state/events, but need to give overall idea and how it works
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# '''Flow Control'''
    and assumptions (if any).
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# '''Router Microarchitecture'''
  
===== Common Notations and Data Structures =====
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'''''More details about the network model implementation are described [[Interconnection Network|here]].'''''
  
====== '''Coherence Messages''' ======
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Alternatively, Interconnection network could be replaced with the external simulator [http://www.atc.unican.es/topaz/  TOPAZ]. This simulator is ready to run within gem5 and adds a significant number of [https://sites.google.com/site/atcgalerna/home-1/publications/files/NOCS-2012_Topaz.pdf?attredirects=0  features] over original ruby network simulator. It includes, new advanced router micro-architectures, new topologies, precision-performance adjustable router models, mechanisms to speed-up network simulation, etc ... The presentation of the tool (and the reason why is not included in the gem5 repostories)  is [http://thread.gmane.org/gmane.comp.emulators.m5.users/9651 here]
  
These are described in the <''protocol-name''>-msg.sm file for each protocol.
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== Life of a memory request in Ruby ==
  
{| border="1" cellpadding="10" class="wikitable"
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In this section we will provide a high level overview of how a memory request is serviced by Ruby as a whole and what components in Ruby it goes through. For detailed operations within each components though, refer to previous sections describing each component in isolation.
! Message !! Description
 
|-
 
| '''ACK/NACK''' || positive/negative acknowledgement for requests that wait for the direction of resolution before deciding on the next action. Examples are writeback requests, exclusive requests.
 
|-
 
| '''GETS''' || request for shared permissions (e.g. load, IFetch).
 
|-
 
| '''GETX''' || request for exclusive access.
 
|-
 
| '''INV''' || invalidation request. This can be triggered by the coherence protocol itself, or by the next cache level/directory to enforce inclusion or to trigger a writeback for a DMA access so that the latest copy of data is obtained.
 
|-
 
| '''PUTX''' || request for writeback of cache block. Some protocols (e.g. MOESI_CMP_directory) may use this only for writeback requests of exclusive data.
 
|-
 
| '''PUTS''' || request for writeback of cache block in shared state.
 
|-
 
| '''PUTO''' || request for writeback of cache block in owned state.
 
|-
 
| '''PUTO_Sharers''' || request for writeback of cache block in owned state but other sharers of the block exist.
 
|-
 
| '''UNBLOCK''' || message to unblock next cache level/directory for blocking protocols.
 
|}
 
  
====== '''AccessPermissions''' ======
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# A memory request from a core or hardware context of gem5 enters the jurisdiction of Ruby through the '''''RubyPort::recvTiming''''' interface (in src/mem/ruby/system/RubyPort.hh/cc). The number of Rubyport instantiation in the simulated system is equal to the number of hardware thread context or cores (in case of ''non-multithreaded'' cores). A port from the side of each core is tied to a corresponding RubyPort.
 +
# The memory request arrives as a gem5 packet and RubyPort is responsible for converting it to a RubyRequest object that is understood by various components of Ruby. It also finds out if the request is for some PIO or not and maneuvers the packet to correct PIO. Finally once it has generated the corresponding RubyRequest object and ascertained that the request is a ''normal'' memory request (not PIO access), it passes the request to the '''''Sequencer::makeRequest''''' interface of the attached Sequencer object with the port (variable ''ruby_port'' holds the pointer to it). Observe that Sequencer class itself is a derived class from the RubyPort class.
 +
# As mentioned in the section describing Sequencer class of Ruby, there are as many objects of Sequencer in a simulated system as the number of hardware thread context (which is also equal to the number of RubyPort object in the system) and there is an one-to-one mapping between the Sequencer objects and the hardware thread context. Once a memory request arrives at the '''''Sequencer::makeRequest''''', it does various accounting and resource allocation for the request and finally pushes the request to the Ruby's coherent cache hierarchy for satisfying the request while accounting for the delay in servicing the same. The request is pushed to the Cache hierarchy by enqueueing the request to the ''mandatory queue'' after accounting for L1 cache access latency. The ''mandatory queue'' (variable name ''m_mandatory_q_ptr'') effectively acts as the interface between the Sequencer and the SLICC generated cache coherence files.
 +
# L1 cache controllers (generated by SLICC according to the coherence protocol specifications) dequeues request from the ''mandatory queue'' and looks up the cache, makes necessary coherence state transitions and/or pushes the request to the next level of cache hierarchy as per the requirements. Different controller and components of SLICC generated Ruby code communicates among themselves through instantiations of ''MessageBuffer'' class of Ruby (src/mem/ruby/buffers/MessageBuffer.cc/hh) , which can act as ordered or unordered buffer or queues. Also the delays in servicing different steps for satisfying a memory request gets accounted for scheduling enqueue-ing and dequeue-ing operations accordingly. If the requested cache block may be found in L1 caches and with required coherence permissions then the request is satisfied and immediately returned. Otherwise the request is pushed to the next level of cache hierarchy through ''MessageBuffer''. A request can go all the way up to the Ruby's Memory Controller (also called Directory in many protocols).  Once the request get satisfied it is pushed upwards in the hierarchy through ''MessageBuffer''s.
 +
# The ''MessageBuffers'' also act as entry point of coherence messages to the on-chip interconnect modeled. The MesageBuffers are connected according to the interconnect topology specified. The coherence messages thus travel through this on-chip interconnect accordingly. 
 +
# Once the requested cache block is available at L1 cache with desired coherence permissions, the L1 cache controller informs the corresponding Sequencer object by calling its '''''readCallback''''' or ''''writeCallback''''' method depending upon the type of the request. Note that by the time these methods on Sequencer are called the latency of servicing the request has been implicitly accounted for.
 +
# The Sequencer then clears up the accounting information for the corresponding request and then calls the '''''RubyPort::ruby_hit_callback''''' method. This ultimately returns the result of the request to the corresponding port of the core/ hardware context of the frontend (gem5).
  
These are associated with each cache block and determine what operations are permitted on that block. It is closely correlated with coherence protocol states.
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== Directory Structure ==
  
{| border="1" cellpadding="10" class="wikitable"
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* '''src/mem/'''
! Permissions !! Description
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** '''protocols''': SLICC specification for coherence protocols
|-
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** '''slicc''': implementation for SLICC parser and code generator
| '''Invalid''' || The cache block is invalid. The block must first be obtained (from elsewhere in the memory hierarchy) before loads/stores can be performed. No action on invalidates (except maybe sending an ACK). No action on replacements. The associated coherence protocol states are I or NP and are stable states in every protocol.
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** '''ruby'''
|-
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*** '''common''': frequently used data structures, e.g. Address (with bit-manipulation methods), histogram, data block
| '''Busy''' || TODO
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*** '''filters''': various Bloom filters (stale code from GEMS)
|-
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*** '''network''': Interconnect implementation, sample topology specification, network power calculations, message buffers used for connecting controllers
| '''Read_Only''' || Only operations permitted are loads, writebacks, invalidates. Stores cannot be performed before transitioning to some other state.
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*** '''profiler''': Profiling for cache events, memory controller events
|-
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*** '''recorder''':  Cache warmup and access trace recording
| '''Read_Write''' || Loads, stores, writebacks, invalidations are allowed. Usually indicates that the block is dirty.
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*** '''slicc_interface''': Message data structure, various mappings (e.g. address to directory node), utility functions (e.g. conversion between address & int, convert address to cache line address)
|}
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*** '''structures''': Protocol independent memory components – CacheMemory, DirectoryMemory
 
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*** '''system''': Glue components – Sequencer, RubyPort, RubySystem
====== Data Structures ======
 
* '''Message Buffers''':TODO
 
* '''TBE Table''': TODO
 
* '''Timer Table''': This maintains a map of address-based timers. For each target address, a timeout value can be associated and added to the Timer table. This data structure is used, for example, by the L1 cache controller implementation of the MOESI_CMP_directory protocol to trigger separate timeouts for cache blocks. Internally, the Timer Table uses the event queue to schedule the timeouts. The TimerTable supports a polling-based interface, '''isReady()''' to check if a timeout has occurred. Timeouts on addresses can be set using the '''set()''' method and removed using the '''unset()''' method.
 
:: '''Related Files''':
 
::::  src/mem/ruby/system/TimerTable.hh: Declares the TimerTable class
 
::::  src/mem/ruby/system/TimerTable.cc: Implementation of the methods of the TimerTable class, that deals with setting addresses & timeouts, scheduling events using the event queue.
 
 
 
===== MI example =====
 
 
 
This is a simple cache coherence protocol that is used to illustrate protocol specification using SLICC.
 
 
 
====== Related Files ======
 
 
 
* '''src/mem/protocols'''
 
** '''MI_example-cache.sm''': cache controller specification
 
** '''MI_example-dir.sm''': directory controller specification
 
** '''MI_example-dma.sm''': dma controller specification
 
** '''MI_example-msg.sm''': message type specification
 
** '''MI_example.slicc''': container file
 
 
 
====== Cache Hierarchy ======
 
 
 
This protocol assumes a 1-level cache hierarchy. The cache is private to each node. The caches are kept coherent by a directory controller. Since the hierarchy is only 1-level, there is no inclusion/exclusion requirement. This protocol does not differentiate between loads and stores.
 
 
 
====== Stable States and Invariants ======
 
 
 
{| border="1" cellpadding="10" class="wikitable"
 
! States !! Invariants
 
|-
 
| '''M''' || The cache block has been accessed (read/written) by this node. No other node holds a copy of the cache block
 
|-
 
| '''I''' || The cache block at this node is invalid
 
|}
 
 
 
====== Cache controller ======
 
 
 
* Requests, Responses, Triggers:
 
** Load, Instruction fetch, Store from the core
 
** Replacement from self
 
** Data from the directory controller
 
** Forwarded request (intervention) from the directory controller
 
** Writeback acknowledgement from the directory controller
 
** Invalidations from directory controller (on dma activity)
 
 
 
* Main Operation:
 
** On a '''load/Instruction fetch/Store''' request from the core:
 
*** it checks whether the corresponding block is present in the M state. If so, it returns a hit
 
*** otherwise, if in I state, it initiates a GETX request from the directory controller
 
 
 
** On a '''replacement''' trigger from self:
 
*** it evicts the block, issues a writeback request to the directory controller
 
*** it waits for acknowledgement from the directory controller (to prevent races)
 
 
 
** On a '''forwarded request''' from the directory controller:
 
*** This means that the block was in M state at this node when the request was generated by some other node
 
*** It sends the block directly to the requesting node (cache-to-cache transfer)
 
*** It evicts the block from this node
 
 
 
** '''Invalidations''' are similar to replacements
 
 
 
====== Directory controller ======
 
 
 
* Requests, Responses, Triggers:
 
** GETX from the cores, Forwarded GETX to the cores
 
** Data from memory, Data to the cores
 
** Writeback requests from the cores, Writeback acknowledgements to the cores
 
** DMA read, write requests from the DMA controllers
 
 
 
* Main Operation:
 
** The directory maintains track of which core has a block in the M state. It designates this core as owner of the block.
 
** On a '''GETX''' request from a core:
 
*** If the block is not present, a memory fetch request is initiated
 
*** If the block is already present, then it means the request is generated from some other core
 
**** In this case, a forwarded request is sent to the original owner
 
**** Ownership of the block is transferred to the requestor
 
** On a '''writeback''' request from a core:
 
*** If the core is owner, the data is written to memory and acknowledgement is sent back to the core
 
*** If the core is not owner, a NACK is sent back
 
**** This can happen in a race condition
 
**** The core evicted the block while a forwarded request some other core was on the way and the directory has already changed ownership for the core
 
**** The evicting core holds the data till the forwarded request arrives
 
** On '''DMA''' accesses (read/write)
 
*** Invalidation is sent to the owner node (if any). Otherwise data is fetched from memory.
 
*** This ensures that the most recent data is available.
 
 
 
====== Other features ======
 
 
 
** MI protocols don't support LL/SC semantics. A load from a remote core will invalidate the cache block.
 
** This protocol has no timeout mechanisms.
 
 
 
===== MOESI_hammer =====
 
''Somayeh will do it''
 
 
 
===== MOESI_CMP_token =====
 
''Shoaib will do it''
 
===== MOESI_CMP_directory =====
 
 
 
In contrast with the MESI protocol, the MOESI protocol introduces an additional '''Owned''' state. This enables sharing of a block after modification without needing to write it back to memory first. However, in that case, only 1 node is the owner while the others are sharers. The owner node has the responsibility to write the block back to memory on eviction. Sharers may evict the block without writeback. An overview of the protocol can be found [http://en.wikipedia.org/wiki/MOESI_protocol here].
 
 
 
====== Related Files ======
 
 
 
* '''src/mem/protocols'''
 
** '''MOESI_CMP_directory-L1cache.sm''': L1 cache controller specification
 
** '''MOESI_CMP_directory-L2cache.sm''': L2 cache controller specification
 
** '''MOESI_CMP_directory-dir.sm''': directory controller specification
 
** '''MOESI_CMP_directory-dma.sm''': dma controller specification
 
** '''MOESI_CMP_directory-msg.sm''': message type specification
 
** '''MOESI_CMP_directory.slicc''': container file
 
 
 
====== Cache Hierarchy ======
 
 
 
====== L1 Cache ======
 
 
 
* '''Stable States and Invariants'''
 
 
 
{| border="1" cellpadding="10" class="wikitable"
 
! States !! Invariants
 
|-
 
| '''M''' || TODO
 
  |-
 
| '''O''' || TODO
 
|-
 
| '''S''' || TODO
 
|-
 
| '''I''' || TODO
 
|-
 
| '''M_W''' || TODO
 
|-
 
| '''MM''' || TODO
 
|-
 
| '''MM_W''' || TODO
 
|}
 
 
 
* '''Controller'''
 
 
 
====== L2 Cache ======
 
 
 
* '''Stable States and Invariants'''
 
 
 
{| border="1" cellpadding="10" class="wikitable"
 
! States !! Invariants
 
|-
 
| '''NP/I''' || TODO
 
|-
 
| '''ILS''' || TODO
 
|-
 
| '''ILX''' || TODO
 
|-
 
| '''ILO''' || TODO
 
|-
 
| '''ILOX''' || TODO
 
|-
 
| '''ILOS''' || TODO
 
|-
 
| '''ILOSX''' || TODO
 
|-
 
| '''S''' || TODO
 
|-
 
| '''O''' || TODO
 
|-
 
| '''OLS''' || TODO
 
|-
 
| '''OLSX''' || TODO
 
|-
 
| '''SLS''' || TODO
 
|-
 
| '''M''' || TODO
 
|}
 
 
 
* '''Controller'''
 
 
 
====== Directory ======
 
 
 
* '''Stable States and Invariants'''
 
 
 
{| border="1" cellpadding="10" class="wikitable"
 
! States !! Invariants
 
|-
 
| '''M''' || TODO
 
|-
 
| '''O''' || TODO
 
|-
 
| '''S''' || TODO
 
|-
 
| '''I''' || TODO
 
|}
 
 
 
* '''Controller'''
 
 
 
====== Other features ======
 
 
 
* '''Timeouts''':
 
 
 
''Rathijit will do it''
 
 
 
===== MESI_CMP_directory =====
 
''Arka will do it''
 
 
 
==== Protocol Independent Memory components ====
 
===== System =====
 
''[[Under construction. Please do not edit --Arka]] ''
 
 
 
This is a high level container for few of the important components of the Ruby which may need to be accessed from various parts and components of Ruby. Only '''ONE''' instance of this class is created. The instance of this class is globally available through a pointer named '''''g_system_ptr'''''.
 
 
 
===== Sequencer =====
 
''Arka will do it''
 
 
 
===== CacheMemory and Cache Replacement Polices =====
 
 
 
 
 
This module can model any '''Set-associative Cache structure''' with a given associativity. Each instantiation of the following module models a '''single bank''' of a cache. Thus different types of caches in system (e.g. L1 Instruction, L1 Data , L2 etc) and every banks of a cache needs to have separate instantiation of this module.  This module can also model Fully associative cache when the associativity is set to 1. In Ruby memory system, this module is primarily expected to be accessed by the SLICC generated codes of the given Coherence protocol being modeled. 
 
====== '''Basic Operation''' ======
 
This module models the set-associative structure as a two dimensional (2D) array. Each row of the 2D array represents a set of in the set-associative cache structure, while columns represents ways. The number of columns  is equal to the given associativity (parameter), while the number of rows is decided depending on the desired size of the structure (parameter), associativity (parameter) and the size of the cache line (parameter).
 
This module exposes six important functionalities which Coherence Protocols uses to manage the caches.
 
# It allows to query if a given cache line address is present in the set-associative structure being modeled through a function named '''''isTagPresent'''''. This function returns ''true'', iff the given cache line address is present in it.
 
# It allows a lookup operation which returns the cache entry for a given cache line address (if present), through a function named '''''lookup'''''. It returns NULL if the blocks with given address is not present in the set-associative cache structure.
 
# It allows to allocate a new cache entry in the set-associative structure through a function named '''''allocate'''''.
 
# It allows to deallocate a cache entry of a given cache line address through a function named '''''deallocate'''''.
 
# It can be queried to find out whether to allocate an entry with given cache line address would require replacement of another entry in the designated set (derived from the cache line address) or not. This functionality is provided through '''''cacheAvail''''' function, which for a given cache line address, returns True, if NO replacement of another entry the same set as the given address is required to make space for a new entry with the given address.
 
# The function '''''cacheProbe''''' is used to find out cache line address of a victim line, in case placing a new entry would require victimizing another cache blocks in the same set. This function returns the cache line address of the victim line given the address of the address of the new cache line that would have to be allocated.
 
 
 
====== '''Parameters''' ======
 
There are four important parameters for this class.
 
# '''''size''''' is the parameter that provides the size of the set-associative structure being modeled in units of bytes.
 
# '''''assoc''''' specifies the set-associativity of the structure.
 
# '''''replacement_policy''''' is the name of the replacement policy that would be used to select victim cache line when there is conflict in a given set. Currently, only two possible choices are available ('''''PSEUDO_LRU''''' and '''''LRU''''').  
 
# Finally, '''''start_index_bit''''' parameter specifies the bit position in the address from where indexing into the cache should start. This is a tricky parameter and if not set properly would end up using only portion of the cache capacity. Thus how this value should be specified is explained through couple of examples. Let us assume the cache line size if 64 bytes and a single core machine with a L1 cache with only one bank and a L2 cache with 4 banks. For the CacheMemory module that would model the L1 cache should have '''''start_index_bit''''' set to log2(64) = 6 (this is the default value assuming 64 bytes cache line). This is required as addresses passed around in the Ruby is ''full address'' (i.e. equal to the number of bits required to access any address in the physical address range) and as the caches would be accessed in granularity of cache line size (here 64 bytes), the lower order 6 bits in the address would be essentially 0. So we should discard last 6 bits of the given address while calculating which set (index) in the set associative structure the given address should go to. Now let's look into a more complicated case of L2 cache, which has 4 banks. As mentioned previously, this modules models a single bank of a set-associative cache. Thus there will be four instantiation of the CacheMemory class to model the whole L2 cache. Assuming which cache bank a request goes to is statically decided by the low oder log2(4) = 2 bits of the ''cache line address'', the value of the bits in the address at the position ''6'' and ''7'' would be same for all accesses coming to a given bank (i.e. a instance of CacheMemory here). Thus indexing within the set associative structure (CacheMemory instance) modeling a given bank should use address bits 8 and higher for finding which set a cache block should go to. Thus '''''start_index_bit''''' parameter should be set to 8 for the banks of L2 in this example. If ''erroneously'' if this is set 6, only a fourth of desired L2 capacity would be utilized !!!
 
 
 
====== '''More detailed description of operation''' ======
 
As mentioned previously, the set-associative structure is modeled as a 2D array in the CacheMemory class. The variable '''''m_cache''''' is this all important 2D array containing the set-associative structure. Each element of this 2D array is derived from type '''''AbstarctCacheEntry''''' class. Beside the minimal required functionality and contents of each cache entry, it can be extended inside the Coherence protocol files. This allows CacheMemory to be generic enough to hold any type of cache entry as desired by a given Coherence protocol as long as it derives from '''''AbstractCacheEntry''''' interface. The '''''m_cache''''' 2D array has number of rows equal to the number of sets in the set-associative structure being modeled while the number of columns is equal to associativity.
 
 
 
As should happen in any set-associative structure, which set (row) a cache entry should reside is decided by part of the cache block address used for indexing. The function '''''addressToCacheSet''''' calculates this index given an address. The ''way'' in which a cache entry reside in its designated set (row) is noted in the a hash_map object named '''''m_tag_index'''''. So to access an cache entry in the set-associative structure, first the set number where the cache block should reside is calculated and then '''''m_tag_index''''' is looked-up to find out the way in which the required cache block resides. If an cache entry holds invalid entry or its empty then its set to ''NULL'' or its permission is set to ''NotPresent''.
 
 
 
One important aspect of the Ruby's caches are the segregation of the set-associative structure for the cache and its replacement policy. This allows modular design where structure of the cache is independent of the replacement policy in the cache. When a victim needs to be selected to make space for a new cache block (by calling '''''cacheProbe''''' function), '''''getVictim''''' function of the class implementing replacement policy is called for the given set. '''''getVictim''''' returns the way number of the victim. The replacement policy is updated about accesses by calling '''''touch''''' function of the replacement policy, which allows it to update the access recency. Currently there are two replacement policies are supported -- LRU and PseudoLRU. LRU policy has a straight forward implementation where it keeps track of the absolute time when each way within each set is accessed last time and it always victimizes the entry which was last accessed furthest back in time. PseudoLRU implements a binary-tree based Non-Recently-Used policy. It arranges the ways in each set in an implicit '''''binary tree''''' like structure. Every node of the binary tree encodes the information which of its two subtrees was accessed more recently. During victim selection process, it starts from the root of the tree and traverse down such that it chooses the subtree which was touched ''less'' recently. Traversal continues until it reaches a leaf node. It then returns the id of the leaf node reached.
 
 
 
====== '''Related files''' ======
 
* '''src/mem/ruby/system'''
 
** '''CacheMemory.cc''': contains CacheMemory class which models a cache bank
 
** '''CacheMemory.hh''': Interface for the CacheMemory class
 
** '''Cache.py''': Python configuration file for CacheMemory class
 
** '''AbstractReplacementPolicy.hh''': Generic interface for Replacement policies for the Cache
 
** '''LRUPolicy.hh''': contains LRU replacement policy
 
** '''PseudoLRUPolicy.hh''': contains Pseudo-LRU replacement policy
 
* '''src/mem/ruby/slicc_interface'''
 
** '''AbstarctCacheEntry.hh''': contains the interface of Cache Entry
 
 
 
===== DMASequencer =====
 
 
 
This module implements handling for DMA transfers. It is derived from the RubyPort class.  There can be a number of DMA controllers that interface with the DMASequencer. The DMA sequencer has a protocol-independent interface and implementation. The DMA controllers are described with SLICC and are protocol-specific.
 
 
 
''Note:''
 
 
 
# ''There can be only 1 DMASequencer in the system.''
 
# ''At any time there can be only 1 request active in the DMASequencer.''
 
# ''Only ordinary load and store requests are handled. No other request types such as Ifetch, RMW, LL/SC are handled''
 
 
 
====== Related Files ======
 
 
 
* '''src/mem/ruby/system'''
 
** '''DMASequencer.hh''': Declares the DMASequencer class and structure of a DMARequest
 
** '''DMASequencer.cc''': Implements the methods of the DMASequencer class, such as request issue and callbacks.
 
 
 
====== Configuration Parameters ======
 
 
 
Currently there are no special configuration parameters for the DMASequencer.
 
 
 
====== Basic Operation ======
 
 
 
A request for data transfer is split up into multiple requests each transferring cache-block-size chunks of data. A request is active as long as all the smaller transfers are not completed. During this time, the DMASequencer is in a busy state and cannot accepts any new transfer requests.
 
 
 
DMA requests are made through the '''makeRequest''' method. If the sequencer is not busy and the request is of the correct type (LD/ST), it is accepted. A sequence of requests for smaller data chunks is then issued. The '''issueNext''' method issues each of the smaller requests. A data/acknowledgment callback signals completion of the last transfer and triggers the next call to '''issueNext''' as long as all of the original data transfer is not complete. There is no separate event scheduler within the DMASequencer.
 
 
 
===== Memory Controller =====
 
 
 
'''Most (but not all) of the writeup in this section is taken verbatim from documentation in the gem5 source files and rubyconfig.defaults file of GEMS'''.
 
 
 
This module simulates a basic DDR-style memory controller. It models a single channel, connected to any number of DIMMs with any number of ranks of DRAMs each.  If you want multiple address/data channels, you need to instantiate multiple copies of this module.
 
 
 
'' Note: ''
 
 
 
# ''The product of the memory bus cycle multiplier, memory controller latency, and clock cycle time(=1/processor frequency) gives a first-order approximation of the latency of memory requests in time. The Memory Controller module refines this further by considering bank & bus contention, queueing effects of finite queues, and refreshes.''
 
# ''Data sheet values for some components of the memory latency are specified in time (nanoseconds), whereas the Memory Controller module expects all delay configuration parameters in cycles. The parameters should be set appropriately taking into account the processor and bus frequencies.''
 
# ''The current implementation does not consider pin-bandwidth contention. Infinite bandwidth is assumed.''
 
# '' Only closed bank policy is currently implemented; that is, each bank is automatically closed after a single read or write.''
 
# '' This is the only controller that is NOT specified in SLICC, but in C++.''
 
 
 
====== Related Files ======
 
 
 
* '''src/mem/ruby/system'''
 
** '''MemoryControl.hh''': This file declares the Memory Controller class.
 
** '''MemoryControl.cc''': This file implements all the operations of the memory controller. This includes processing of input packets, address decoding and bank selection, request scheduling and contention handling, handling refresh, returning completed requests to the directory controller.
 
** '''MemoryControl.py''': Configuration parameters
 
 
 
====== Configuration Parameters ======
 
 
 
* '''dimms_per_channel''': Currently the only thing that matters is the number of ranks per channel, i.e. the product of this parameter and '''ranks_per_dimm'''.  But if and when this is expanded to do FB-DIMMs, the distinction between the two will matter.
 
 
 
* ''Address Mapping'': This is controlled by configuration parameters '''banks_per_rank''', '''bank_bit_0''', '''ranks_per_dimm''', '''rank_bit_0''', '''dimms_per_channel''', '''dimm_bit_0'''.  You could choose to have the bank bits, rank bits, and DIMM bits in any order. For the default values, we assume this format for addresses:
 
** Offset within line:    [5:0]
 
** Memory controller #:    [7:6]
 
** Bank:                  [10:8]
 
** Rank:                    [11]
 
** DIMM:                    [12]
 
** Row addr / Col addr: [top:13]
 
 
 
If you get these bits wrong, then some banks won't see any requests; you need to check for this in the .stats output.
 
 
 
* '''mem_bus_cycle_multiplier''': Basic cycle time of the memory controller.  This defines the period which is used as the memory channel clock period, the address bus bit time, and the memory controller cycle time. Assuming a 200 MHz memory channel (DDR-400, which has 400 bits/sec data), and a 2 GHz processor clock, mem_bus_cycle_multiplier=10.
 
 
 
* '''mem_ctl_latency''': Latency to returning read request or writeback acknowledgement. Measured in memory address cycles. This equals tRCD + CL + AL + (four bit times) + (round trip on channel) + (memory control internal delays). It's going to be an approximation, so pick what you like. ''Note:  The fact that latency is a constant, and does not depend on two low-order address bits, implies that our memory controller either: (a) tells the DRAM to read the critical word first, and sends the critical word first back to the CPU, or (b) waits until it has seen all four bit times on the data wires before sending anything back.  Either is plausible.  If (a), remove the "four bit times" term from the calculation above.''
 
 
 
* '''rank_rank_delay''': This is how many memory address cycles to delay between reads to different ranks of DRAMs to allow for clock skew.
 
 
 
* '''read_write_delay''': This is how many memory address cycles to delay between a read and a write.  This is based on two things:  (1) the data bus is used one cycle earlier in the operation; (2) a round-trip wire delay from the controller to the DIMM that did the reading. Usually this is set to 2.
 
 
 
* '''basic_bus_busy_time''': Basic address and data bus occupancy.  If you are assuming a 16-byte-wide data bus (pairs of DIMMs side-by-side), then the data bus occupancy matches the address bus occupancy at 2 cycles.  But if the channel is only 8 bytes wide, you need to increase this bus occupancy time to 4 cycles.
 
 
 
* '''mem_random_arbitrate''':  By default, the memory controller uses round-robin to arbitrate between ready bank queues for use of the address bus.  If you wish to add randomness to the system, set this parameter to one instead, and it will restart the round-robin pointer at a random bank number each cycle.  If you want additional nondeterminism, set the parameter to some integer n >= 2, and it will in addition add a n% chance each cycle that a ready bank will be delayed an additional cycle.  Note that if you are in mem_fixed_delay mode (see below), mem_random_arbitrate=1 will have no effect, but mem_random_arbitrate=2 or more will.
 
 
 
* '''mem_fixed_delay''': If this is nonzero, it will disable the memory controller and instead give every request a fixed latency.  The nonzero value specified here is measured in memory cycles and is just added to MEM_CTL_LATENCY.  It will also show up in the stats file as a contributor to memory delays stalled at head of bank queue.
 
 
 
* '''tFAW''': This is an obscure DRAM parameter that says that no more than four activate requests can happen within a window of a certain size. For most configurations this does not come into play, or has very little effect, but it could be used to throttle the power consumption of the DRAM.  In this implementation (unlike in a DRAM data sheet) TFAW is measured in memory bus cycles; i.e. if TFAW = 16 then no more than four activates may happen within any 16 cycle window. Refreshes are included in the activates.
 
 
 
* '''refresh_period''': This is the number of memory cycles between refresh of row x in bank n and refresh of row x+1 in bank n.  For DDR-400, this is typically 7.8 usec for commercial systems; after 8192 such refreshes, this will have refreshed the whole chip in 64 msec.  If we have a 5 nsec memory clock, 7800 / 5 = 1560 cycles.  The memory controller will divide this by the total number of banks, and kick off a refresh to somebody every time that amount is counted down to zero. (There will be some rounding error there, but it should have minimal effect.)
 
 
 
* '''Typical Settings for configuration parameters''': The default values are for DDR-400 assuming a 2GHz processor clock. If instead of DDR-400, you wanted DDR-800, the channel gets faster but the basic operation of the DRAM core is unchanged. Busy times appear to double just because they are measured in smaller clock cycles.  The performance advantage comes because the bus busy times don't actually quite double. You would use something like these values:
 
 
 
:: mem_bus_cycle_multiplier: 5
 
:: bank_busy_time: 22
 
:: rank_rank_delay: 2
 
:: read_write_delay: 3
 
:: basic_bus_busy_time: 3
 
:: mem_ctl_latency: 20
 
:: refresh_period: 3120
 
 
 
====== Basic Operation ======
 
 
 
* '''Data Structures'''
 
 
 
Requests are enqueued into a single input queue. Responses are dequeued from a single response queue. There is a single bank queue for each DRAM bank (the total number of banks is the number of DIMMs per channel x number of ranks per DIMM x number of banks per rank). Each bank also has a busy counter. tFAW shift registers are maintained per rank.
 
 
 
* '''Scheduling and Bank Contention'''
 
 
 
The '''wakeup''' function, and in turn, the '''executeCycle''' function is tiggered once every memory clock cycle.
 
 
 
Each memory request is placed in a queue associated with a specific memory bank.  This queue is of finite size; if the queue is full the request will back up in an (infinite) common queue and will effectively throttle the whole system.  This sort of behavior is intended to be closer to real system behavior than if we had an infinite queue on each bank.  If you want the latter, just make the bank queues unreasonably large.
 
 
 
The head item on a bank queue is issued when all of the following are true:
 
# The bank is available
 
# The address path to the DIMM is available
 
# The data path to or from the DIMM is available
 
 
 
Note that we are not concerned about fixed offsets in time.  The bank will not be used at the same moment as the address path, but since there is no queue in the DIMM or the DRAM it will be used at a constant number of cycles later, so it is treated as if it is used at the same time.
 
 
 
We are assuming "posted CAS"; that is, we send the READ or WRITE immediately after the ACTIVATE.  This makes scheduling the address bus trivial; we always schedule a fixed set of cycles.  For DDR-400, this is a set of two cycles; for some configurations such as DDR-800 the parameter tRRD forces this to be set to three cycles.
 
 
 
We assume a four-bit-time transfer on the data wires.  This is the minimum burst length for DDR-2.  This would correspond to (for example) a memory where each DIMM is 72 bits wide and DIMMs are ganged in pairs to deliver 64 bytes at a shot.This gives us the same occupancy on the data wires as on the address wires (for the two-address-cycle case).
 
 
 
The only non-trivial scheduling problem is the data wires. A write will use the wires earlier in the operation than a read will; typically one cycle earlier as seen at the DRAM, but earlier by a worst-case round-trip wire delay when seen at the memory controller. So, while reads from one rank can be scheduled back-to-back every two cycles, and writes (to any rank) scheduled every two cycles, when a read is followed by a write we need to insert a bubble. Furthermore, consecutive reads from two different ranks may need to insert a bubble due to skew between when one DRAM stops driving the wires and when the other one starts.  (These bubbles are parameters.)
 
 
 
This means that when some number of reads and writes are at the heads of their queues, reads could starve writes, and/or reads to the same rank could starve out other requests, since the others would never see the data bus ready. For this reason, we have implemented an anti-starvation feature. A group of requests is marked "old", and a counter is incremented each cycle as long as any request from that batch has not issued. If the counter reaches twice the bank busy time, we hold off any newer requests until all of the "old" requests have issued.
 
 
 
==== Interconnection Network ====
 
===== Topology specification =====
 
Python files specify connections.  Shortest path graph traversals program the routing tables.
 
===== Network implementation =====
 
# SimpleNetwork
 
# Garnet
 
 
 
==== Life of a memory request in Ruby ====
 
Cpu model generates a packet -> RubyPort converts it to a ruby request -> L1 cache controller converts it to a protocol specific message ...etc.
 
 
 
''Arka will do it''
 

Latest revision as of 05:31, 5 November 2019

High level components of Ruby

Ruby implements a detailed simulation model for the memory subsystem. It models inclusive/exclusive cache hierarchies with various replacement policies, coherence protocol implementations, interconnection networks, DMA and memory controllers, various sequencers that initiate memory requests and handle responses. The models are modular, flexible and highly configurable. Three key aspects of these models are:

  1. Separation of concerns -- for example, the coherence protocol specifications are separate from the replacement policies and cache index mapping, the network topology is specified separately from the implementation.
  2. Rich configurability -- almost any aspect affecting the memory hierarchy functionality and timing can be controlled.
  3. Rapid prototyping -- a high-level specification language, SLICC, is used to specify functionality of various controllers.

The following picture, taken from the GEMS tutorial in ISCA 2005, shows a high-level view of the main components in Ruby.

Ruby overview.jpg

SLICC + Coherence protocols:

SLICC stands for Specification Language for Implementing Cache Coherence. It is a domain specific language that is used for specifying cache coherence protocols. In essence, a cache coherence protocol behaves like a state machine. SLICC is used for specifying the behavior of the state machine. Since the aim is to model the hardware as close as possible, SLICC imposes constraints on the state machines that can be specified. For example, SLICC can impose restrictions on the number of transitions that can take place in a single cycle. Apart from protocol specification, SLICC also combines together some of the components in the memory model. As can be seen in the following picture, the state machine takes its input from the input ports of the inter-connection network and queues the output at the output ports of the network, thus tying together the cache / memory controllers with the inter-connection network itself.

Slicc overview.jpg

The following cache coherence protocols are supported:

  1. MI_example: example protocol, 1-level cache.
  2. MESI_Two_Level: single chip, 2-level caches, strictly-inclusive hierarchy.
  3. MOESI_CMP_directory: multiple chips, 2-level caches, non-inclusive (neither strictly inclusive nor exclusive) hierarchy.
  4. MOESI_CMP_token: 2-level caches. TODO.
  5. MOESI_hammer: single chip, 2-level private caches, strictly-exclusive hierarchy.
  6. Garnet_standalone: protocol to run the Garnet network in a standalone manner.
  7. MESI Three Level: 3-level caches, strictly-inclusive hierarchy.

Commonly used notations and data structures in the protocols have been described in detail here.

Protocol independent memory components

  1. Sequencer
  2. Cache Memory
  3. Replacement Policies
  4. Memory Controller

In general cache coherence protocol independent components comprises of the Sequencer, Cache Memory structure, replacement policies and the Memory controller. The Sequencer class is responsible for feeding the memory subsystem (including the caches and the off-chip memory) with load/store/atomic memory requests from the processor. Every memory request when completed by the memory subsystem also send back the response to the processor via the Sequencer. There is one Sequencer for each hardware thread (or core) simulated in the system. The Cache Memory models a set-associative cache structure with parameterizable size, associativity, and replacement policy. L1, L2, L3 caches in the system are instances of Cache Memory, if they exist. The replacement policies are kept modular from the Cache Memory, so that different instances of Cache Memory can use different replacement policies of their choice. The Memory Controller is responsible for simulating and servicing any request that misses on all the on-chip caches of the simulated system. Memory Controller currently simple, but models DRAM ban contention, DRAM refresh faithfully. It also models close-page policy for DRAM buffer.

Each component is described in details here.

Interconnection Network

The interconnection network connects the various components of the memory hierarchy (cache, memory, dma controllers) together.

Interconnection network.jpg

The key components of an interconnection network are:

  1. Topology
  2. Routing
  3. Flow Control
  4. Router Microarchitecture

More details about the network model implementation are described here.

Alternatively, Interconnection network could be replaced with the external simulator TOPAZ. This simulator is ready to run within gem5 and adds a significant number of features over original ruby network simulator. It includes, new advanced router micro-architectures, new topologies, precision-performance adjustable router models, mechanisms to speed-up network simulation, etc ... The presentation of the tool (and the reason why is not included in the gem5 repostories) is here

Life of a memory request in Ruby

In this section we will provide a high level overview of how a memory request is serviced by Ruby as a whole and what components in Ruby it goes through. For detailed operations within each components though, refer to previous sections describing each component in isolation.

  1. A memory request from a core or hardware context of gem5 enters the jurisdiction of Ruby through the RubyPort::recvTiming interface (in src/mem/ruby/system/RubyPort.hh/cc). The number of Rubyport instantiation in the simulated system is equal to the number of hardware thread context or cores (in case of non-multithreaded cores). A port from the side of each core is tied to a corresponding RubyPort.
  2. The memory request arrives as a gem5 packet and RubyPort is responsible for converting it to a RubyRequest object that is understood by various components of Ruby. It also finds out if the request is for some PIO or not and maneuvers the packet to correct PIO. Finally once it has generated the corresponding RubyRequest object and ascertained that the request is a normal memory request (not PIO access), it passes the request to the Sequencer::makeRequest interface of the attached Sequencer object with the port (variable ruby_port holds the pointer to it). Observe that Sequencer class itself is a derived class from the RubyPort class.
  3. As mentioned in the section describing Sequencer class of Ruby, there are as many objects of Sequencer in a simulated system as the number of hardware thread context (which is also equal to the number of RubyPort object in the system) and there is an one-to-one mapping between the Sequencer objects and the hardware thread context. Once a memory request arrives at the Sequencer::makeRequest, it does various accounting and resource allocation for the request and finally pushes the request to the Ruby's coherent cache hierarchy for satisfying the request while accounting for the delay in servicing the same. The request is pushed to the Cache hierarchy by enqueueing the request to the mandatory queue after accounting for L1 cache access latency. The mandatory queue (variable name m_mandatory_q_ptr) effectively acts as the interface between the Sequencer and the SLICC generated cache coherence files.
  4. L1 cache controllers (generated by SLICC according to the coherence protocol specifications) dequeues request from the mandatory queue and looks up the cache, makes necessary coherence state transitions and/or pushes the request to the next level of cache hierarchy as per the requirements. Different controller and components of SLICC generated Ruby code communicates among themselves through instantiations of MessageBuffer class of Ruby (src/mem/ruby/buffers/MessageBuffer.cc/hh) , which can act as ordered or unordered buffer or queues. Also the delays in servicing different steps for satisfying a memory request gets accounted for scheduling enqueue-ing and dequeue-ing operations accordingly. If the requested cache block may be found in L1 caches and with required coherence permissions then the request is satisfied and immediately returned. Otherwise the request is pushed to the next level of cache hierarchy through MessageBuffer. A request can go all the way up to the Ruby's Memory Controller (also called Directory in many protocols). Once the request get satisfied it is pushed upwards in the hierarchy through MessageBuffers.
  5. The MessageBuffers also act as entry point of coherence messages to the on-chip interconnect modeled. The MesageBuffers are connected according to the interconnect topology specified. The coherence messages thus travel through this on-chip interconnect accordingly.
  6. Once the requested cache block is available at L1 cache with desired coherence permissions, the L1 cache controller informs the corresponding Sequencer object by calling its readCallback or 'writeCallback method depending upon the type of the request. Note that by the time these methods on Sequencer are called the latency of servicing the request has been implicitly accounted for.
  7. The Sequencer then clears up the accounting information for the corresponding request and then calls the RubyPort::ruby_hit_callback method. This ultimately returns the result of the request to the corresponding port of the core/ hardware context of the frontend (gem5).

Directory Structure

  • src/mem/
    • protocols: SLICC specification for coherence protocols
    • slicc: implementation for SLICC parser and code generator
    • ruby
      • common: frequently used data structures, e.g. Address (with bit-manipulation methods), histogram, data block
      • filters: various Bloom filters (stale code from GEMS)
      • network: Interconnect implementation, sample topology specification, network power calculations, message buffers used for connecting controllers
      • profiler: Profiling for cache events, memory controller events
      • recorder: Cache warmup and access trace recording
      • slicc_interface: Message data structure, various mappings (e.g. address to directory node), utility functions (e.g. conversion between address & int, convert address to cache line address)
      • structures: Protocol independent memory components – CacheMemory, DirectoryMemory
      • system: Glue components – Sequencer, RubyPort, RubySystem