Cache Coherence Constructive Computer Architecture Arvind

Slides:



Advertisements
Similar presentations
Cache Coherence. Memory Consistency in SMPs Suppose CPU-1 updates A to 200. write-back: memory and cache-2 have stale values write-through: cache-2 has.
Advertisements

4/16/2013 CS152, Spring 2013 CS 152 Computer Architecture and Engineering Lecture 19: Directory-Based Cache Protocols Krste Asanovic Electrical Engineering.
1 Lecture 4: Directory Protocols Topics: directory-based cache coherence implementations.
CSE 490/590, Spring 2011 CSE 490/590 Computer Architecture Directory-Based Caches II Steve Ko Computer Sciences and Engineering University at Buffalo.
CSE 490/590, Spring 2011 CSE 490/590 Computer Architecture Directory-Based Caches I Steve Ko Computer Sciences and Engineering University at Buffalo.
CIS629 Coherence 1 Cache Coherence: Snooping Protocol, Directory Protocol Some of these slides courtesty of David Patterson and David Culler.
CS252/Patterson Lec /23/01 CS213 Parallel Processing Architecture Lecture 7: Multiprocessor Cache Coherency Problem.
1 Lecture 2: Snooping and Directory Protocols Topics: Snooping wrap-up and directory implementations.
CS 152 Computer Architecture and Engineering Lecture 21: Directory-Based Cache Protocols Scott Beamer (substituting for Krste Asanovic) Electrical Engineering.
April 18, 2011CS152, Spring 2011 CS 152 Computer Architecture and Engineering Lecture 19: Directory-Based Cache Protocols Krste Asanovic Electrical Engineering.
Multiprocessor Cache Coherency
Realistic Memories and Caches Li-Shiuan Peh Computer Science & Artificial Intelligence Lab. Massachusetts Institute of Technology March 21, 2012L13-1
Cache Control and Cache Coherence Protocols How to Manage State of Cache How to Keep Processors Reading the Correct Information.
Constructive Computer Architecture Cache Coherence Arvind Computer Science & Artificial Intelligence Lab. Massachusetts Institute of Technology November.
Realistic Memories and Caches – Part II Li-Shiuan Peh Computer Science & Artificial Intelligence Lab. Massachusetts Institute of Technology April 2, 2012L14-1.
Constructive Computer Architecture Cache Coherence Arvind Computer Science & Artificial Intelligence Lab. Massachusetts Institute of Technology Includes.
Non-blocking Caches Arvind (with Asif Khan) Computer Science & Artificial Intelligence Lab Massachusetts Institute of Technology May 14, 2012L25-1
Realistic Memories and Caches – Part III Li-Shiuan Peh Computer Science & Artificial Intelligence Lab. Massachusetts Institute of Technology April 4, 2012L15-1.
1 Lecture 8: Snooping and Directory Protocols Topics: 4/5-state snooping protocols, split-transaction implementation details, directory implementations.
Lecture 8: Snooping and Directory Protocols
Symmetric Multiprocessors: Synchronization and Sequential Consistency
Cache Coherence Constructive Computer Architecture Arvind
6.175 Final Project Part 0: Understanding Non-Blocking Caches and Cache Coherency Answers.
Caches-2 Constructive Computer Architecture Arvind
COSC6385 Advanced Computer Architecture
COMP 740: Computer Architecture and Implementation
Realistic Memories and Caches
Constructive Computer Architecture Tutorial 6 Cache & Exception
תרגול מס' 5: MESI Protocol
Realistic Memories and Caches
Lecture 18: Coherence and Synchronization
12.4 Memory Organization in Multiprocessor Systems
Multiprocessor Cache Coherency
Caches-2 Constructive Computer Architecture Arvind
Notation Addresses are ordered triples:
Cache Coherence Constructive Computer Architecture Arvind
CMSC 611: Advanced Computer Architecture
Krste Asanovic Electrical Engineering and Computer Sciences
Example Cache Coherence Problem
Symmetric Multiprocessors: Synchronization and Sequential Consistency
Lecture 9: Directory-Based Examples II
CS5102 High Performance Computer Systems Distributed Shared Memory
Lecture 2: Snooping-Based Coherence
Constructive Computer Architecture Tutorial 7 Final Project Overview
Realistic Memories and Caches
Cache Coherence Constructive Computer Architecture Arvind
CMSC 611: Advanced Computer Architecture
Lecture 5: Snooping Protocol Design Issues
Lecture 8: Directory-Based Cache Coherence
CC protocol for blocking caches
Lecture 7: Directory-Based Cache Coherence
Caches-2 Constructive Computer Architecture Arvind
11 – Snooping Cache and Directory Based Multiprocessors
Caches and store buffers
Lecture 25: Multiprocessors
Lecture 4: Synchronization
Lecture 8: Directory-Based Examples
Lecture 25: Multiprocessors
Lecture 24: Virtual Memory, Multiprocessors
CS 152 Computer Architecture and Engineering CS252 Graduate Computer Architecture Lecture 18 Cache Coherence Krste Asanovic Electrical Engineering and.
Lecture 23: Virtual Memory, Multiprocessors
Lecture 24: Multiprocessors
Lecture: Coherence Topics: wrap-up of snooping-based coherence,
Coherent caches Adapted from a lecture by Ian Watson, University of Machester.
Lecture 19: Coherence and Synchronization
Cache Coherence Constructive Computer Architecture Arvind
Lecture 18: Coherence and Synchronization
CSE 486/586 Distributed Systems Cache Coherence
Caches-2 Constructive Computer Architecture Arvind
Lecture 10: Directory-Based Examples II
Presentation transcript:

Cache Coherence Constructive Computer Architecture Arvind Computer Science & Artificial Intelligence Lab. Massachusetts Institute of Technology November 16, 2016 http://www.csg.csail.mit.edu/6.175

Shared Memory Systems Interconnect P P P P L1 L1 L1 L1 P P L1 L1 L2 L2 Interconnect M Modern systems often have hierarchical caches Each cache has exactly one parent but can have zero or more children Logically only a parent and its children can communicate directly Inclusion property is maintained between a parent and its children, i.e., a  Li  a  Li+1 Because usually Li+1 >> Li November 16, 2016 http://www.csg.csail.mit.edu/6.175

Cache-coherence problem CPU-Memory bus CPU-1 CPU-2 cache-2 memory 200 200 Suppose CPU-1 updates A to 200. write-back: memory and cache-2 have stale values write-through: cache-2 has a stale value Do these stale values matter? What is the view of shared memory for programming? November 16, 2016 http://www.csg.csail.mit.edu/6.175

Cache-Coherent Memory req res Monolithic Memory ... A monolithic memory processes one request at a time; it can be viewed as processing requests instantaneously A memory with hierarchy of caches is said to be coherent, if functionally it behaves like the monolithic memory November 16, 2016 http://www.csg.csail.mit.edu/6.175

Maintaining Coherence In a coherent memory all loads and stores can be placed in a global order multiple copies of an address in various caches can cause this property to be violated This property can be ensured if: Only one cache at a time has the write permission for an address No cache can have a stale copy of the data after a write to the address has been performed cache coherence protocols are used to maintain coherence November 16, 2016 http://www.csg.csail.mit.edu/6.175

Cache Coherence Protocols Write request: the address is invalidated in all other caches before the write is performed Read request: if a dirty copy is found in some cache then that value is written back to the memory and supplied to the reader. Alternatively the dirty value can be forwarded directly to the reader Such protocols are called Invalidation-based November 16, 2016 http://www.csg.csail.mit.edu/6.175

State needed to maintain Cache Coherence MSI encoding I - cache doesn’t contain the address S- cache has the address but so may other caches; hence it can only be read M- only this cache has the address; hence it can be read and written S M I store load write-back invalidate flush The states M, S, I can be thought of as an order M > S > I Upgrade: A cache miss causes transition from a lower state to a higher state Downgrade: A write-back or invalidation causes a transition from a higher state to a lower state November 16, 2016 http://www.csg.csail.mit.edu/6.175

Cache Actions On a read miss (i.e., Cache state is I): In case some other cache has the address in state M then write back the dirty data to Memory Read the value from Memory and set the state to S On a write miss (i.e., Cache state is I or S): Invalidate the address in all other caches and in case some cache has the address in state M then write back the dirty data Read the value from Memory if necessary and set the state to M How do we know the state of other caches? Directory November 16, 2016 http://www.csg.csail.mit.edu/6.175

Directory State Encoding Two-level (L1, M) system P L1 Interconnect <S,I,I,I> S A directory is maintained at each cache to keep track of the state of its children’s caches m.child[ck][a]: the state of child ck for address a; At most one child can be in state M In case of cache hierarchy > 2, the directory also keeps track of the sibling information c.state[a]: M means c’s siblings do not have a copy of address a; S means they might November 16, 2016 http://www.csg.csail.mit.edu/6.175

Directory state encoding transient states to deal with waiting for responses wait state is captured in mshr Directory in home memory m.waitc[ck][a] : Denotes if memory m is waiting for a response from its child ck No | Yes <[(M|S|I), (No | Yes)]> Child’s state Waiting for downgrade response November 16, 2016 http://www.csg.csail.mit.edu/6.175

A Directory-based Protocol an abstract view interconnect PP P c2m m2c L1 p2m m2p m in out Each cache has 2 pairs of queues (c2m, m2c) to communicate with the memory (p2m, m2p) to communicate with the processor Message format: <cmd, srcdst, a, s, data> FIFO message passing between each (srcdst) pair except a Req cannot block a Resp Messages in one srcdst path cannot block messages in another srcdst path Req/Resp address state November 16, 2016 http://www.csg.csail.mit.edu/6.175

Processing misses: Requests and Responses Cache 1,5,8 3,5,7 Cache 1,5,8 3,5,7 3 5 1 2 4 1 Up-req send (cache) 2 Up-req proc, Up resp send (memory) 3 Up-resp proc (cache) 4 Dn-req send (memory) 5 Dn-req proc, Dn resp send (cache) 6 Dn-resp proc (memory) 7 Dn-req proc, drop (cache) 8 Voluntary Dn-resp (cache) 6 Memory 2,6 2,4 November 16, 2016 http://www.csg.csail.mit.edu/6.175

CC protocol for blocking caches Extension to the Blocking L1 design discussed in L17-18 November 16, 2016 http://www.csg.csail.mit.edu/6.175

Req method hit processing method Action req(MemReq r) if(mshr == Ready); let a = r.addr; let hit = contains(state, a); if(hit) begin let slot = getSlot(state, a); let x = dataArray[slot]; if(r.op == Ld) hitQ.enq(x); else // it is store if (isStateM(state[slot]) dataArray[slot] <= r.data; else begin missReq <= r; mshr <= SendFillReq; missSlot <= slot; end end else begin missReq <= r; mshr <= StartMiss; end // (1) endmethod PP P c2m m2c L1 p2m m2p November 16, 2016 http://www.csg.csail.mit.edu/6.175

Start-miss and Send-fill rules Rdy -> StrtMiss -> SndFillReq -> WaitFillResp -> Resp -> Rdy rule startMiss(mshr == StartMiss); let slot = findVictimSlot(state); if(!isStateI(state[slot])) begin // write-back (Evacuate) let a = getAddr(state[slot]); let d = (isStateM(state[slot])? dataArray[slot]: -); state[slot] <= (I, _); c2m.enq(<Resp, c->m, a, I, d>); end mshr <= SendFillReq; missSlot <= slot; endrule rule sendFillReq (mshr == SendFillReq); let upg = (missReq.op == Ld)? S : M; c2m.enq(<Req, c->m, missReq.addr, upg, - >); mshr <= WaitFillResp; endrule // (1) November 16, 2016 http://www.csg.csail.mit.edu/6.175

Wait-fill rule and Proc Resp rule Rdy -> StrtMiss -> SndFillReq -> WaitFillResp -> Resp -> Rdy rule waitFillResp(mshr == WaitFillResp); let <Resp, m->c, a, cs, d> = m2c.msg; let slot = missSlot; dataArray[slot] <= (missReq.op == Ld)? d : missReq.data; state[slot] <= (cs, a); m2c.deq; mshr <= Resp; endrule // (3) Is there a problem with waitFill? What if the hitQ is blocked? Should we not at least write it in the cache? rule sendProc(mshr == Resp); if(missReq.op == Ld) begin c2p.enq(dataArray[slot]); end mshr <= Ready; endrule November 16, 2016 http://www.csg.csail.mit.edu/6.175

Parent Responds rule parentResp; let <Req,c->m,a,y,-> = c2m.msg; if((i≠c, isCompatible(m.child[i][a],y)) && (m.waitc[c][a]=No)) begin let d = ((m.child[c][a]=I)? m.data[a]: -); m2c.enq(<Resp, m->c, a, y, d); m.child[c][a]:=y; c2m.deq; end endrule IsCompatible(M, M) = False IsCompatible(M, S) = False IsCompatible(S, M) = False All other cases = True November 16, 2016 http://www.csg.csail.mit.edu/6.175

Parent (Downgrade) Requests rule dwn; let <Req,c->m,a,y,-> = c2m.msg; if (!isCompatible(m.child[i][a], y) && (m.waitc[i][a]=No)) begin m.waitc[i][a] <= Yes; m2c.enq(<Req, m->i, a, (y==M?I:S), - >); end Endrule // (4) This rule will execute as long some child cache is not compatible with the incoming request November 16, 2016 http://www.csg.csail.mit.edu/6.175

Parent receives Response rule dwnRsp; let <Resp, c->m, a, y, data> = c2m.msg; c2m.deq; if(m.child[c][a]=M) m.data[a]<=data; m.child[c][a]<=y; m.waitc[c][a]<=No; endrule // (6) November 16, 2016 http://www.csg.csail.mit.edu/6.175

Child Responds let slot = getSlot(state,a); rule dng(mshr != Resp); let <Req,mc,a,y,-> = m2c.msg; let slot = getSlot(state,a); if(getCacheState(state[slot])>y) begin let d = (isStateM(state[slot])? dataArray[slot]: -); c2m.enq(<Resp, c->m, a, y, d>); state[slot] := (y,a); end // the address has already been downgraded m2c.deq; endrule // (5) and (7) November 16, 2016 http://www.csg.csail.mit.edu/6.175

Child Voluntarily downgrades rule startMiss(mshr == Ready); let slot = findVictimSlot(state); if(!isStateI(state[slot])) begin // write-back (Evacuate) let a = getAddr(state[slot]); let d = (isStateM(state[slot])? dataArray[slot]: -); state[slot] <= (I, _); c2m.enq(<Resp, c->m, a, I, d>); end endrule // (8) Rules 1 to 8 are complete - cover all possibilities and cannot deadlock or violate cache invariants November 16, 2016 http://www.csg.csail.mit.edu/6.175

Invariants for a CC-protocol design Directory state is always a conservative estimate of a child’s state E.g., if directory thinks that a child cache is in S state then the cache has to be in either I or S state For every request there is a corresponding response, though sometimes it is generated even before the request is processed Communication system has to ensure that responses cannot be blocked by requests a request cannot overtake a response for the same address At every merger point for requests, we will assume fair arbitration to avoid starvation November 16, 2016 http://www.csg.csail.mit.edu/6.175

MSI protocol: some issues It never makes sense to have two outstanding requests for the same address from the same processor/cache It is possible to have multiple requests for the same address from different processors. Hence there is a need to arbitrate requests A cache needs to be able to evict an address in order to make room for a different address Voluntary downgrade Memory system (higher-level cache) should be able to force a lower-level cache to downgrade caches need to keep track of the state of their children’s caches November 16, 2016 http://www.csg.csail.mit.edu/6.175