EC 513 Computer Architecture
|
|
- Noah Houston
- 5 years ago
- Views:
Transcription
1 EC 513 Computer Architecture Cache Coherence - Snoopy Cache Coherence rof. Michel A. Kinsy
2 Consistency in SMs CU-1 CU-2 A 100 Cache-1 A 100 Cache-2 CU- bus A 100
3 Consistency in SMs CU-1 CU-2 A 200 Cache-1 A 100 Cache-2 CU- bus A 100 Suppose CU-1 updates A to 200 Write-back: memory and cache-2 have stale values Write-through: cache-2 has a stale value
4 Consistency in SMs CU-1 CU-2 A 200 Cache-1 A 100 Cache-2 CU- bus A 100 Suppose CU-1 updates A to 200 Do these stale values matter? What is the view of shared memory for programming?
5 Write-through Caches & SC T1 is executed rog T1 ST X, 1 ST Y,11 Cache-1 writes back Y Cache-1 X= 1 Y=11 X= 1 Y=11 Y =10 Y =11 Cache-2 Y = X = Y = X = rog T2 LD Y, R1 ST Y, R1 LD X, R2 ST X,R2 T2 executed X= 1 Y=11 Y =11 Y = Cache-1 writes back X X= 1 Y=11 X = 1 Y =11 Y =
6 Write-through Caches & SC T1 is executed rog T1 ST X, 1 ST Y,11 Cache-1 X= 1 Y=11 Y =10 Cache-1 writes back Y Cache-2 Y = X = rog T2 LD Y, R1 ST Y, R1 LD X, R2 ST X,R2 T2 executed X= 1 Y=11 Y =11 Y = Cache-1 writes back X X= 1 Y=11 X = 1 Y =11 Y = Cache-2 writes back X & Y X= 1 Y=11 X = 1 Y = Y =
7 Write-through Caches & SC rog T1 ST X, 1 ST Y,11 Cache-1 X=0 Y=10 Y =10 Cache-2 Y = rog T2 LD Y, R1 ST Y, R1 LD X, R2 ST X,R2 T1 is executed X= 1 Y=11 X = 1 Y =11 Y = X =0 T2 executed X= 1 Y=11 X =1 Y = Write-through caches don t preserve sequential consistency either Y =
8 Maintaining Sequential Consistency Motivation: We can do without locks -- SC is sufficient for writing producer-consumer and mutual exclusion codes (e.g., Dekker) roblem: Multiple copies of a location in various caches can cause SC to break down. Hardware support is required such that Only one processor at a time has write permission for a location No processor can load a stale copy of the location after a write Cache coherence protocols
9 A System with Multiple Caches L2 L2 Interconnect Modern systems often have hierarchical caches Each cache has exactly one parent but can have zero or more children Only a parent and its children can communicate directly M
10 A System with Multiple Caches L2 L2 Interconnect M Inclusion property is maintained between a parent and its children, i.e., a in L i implies that a in L i+1
11 Cache Coherence rotocols for SC Write request: The address is invalidated in all other caches before the write is performed, or The address is updated in all other caches after the write is performed Read request: If a dirty copy is found in some cache, a write-back is performed before the memory is read We will focus on Invalidation protocols as opposed to Update protocols
12 Warmup: arallel I/O Address (A) Bus hysical roc. Data (D) Cache R/W age transfers occur while the rocessor is running A Either Cache or DMA can be the Bus Master and effect transfers D R/W DMA DISK DMA stands for Direct Access
13 roblems with arallel I/O Cached portions of page Bus hysical roc. Cache DMA transfers DMA DISK à Disk: hysical memory may be stale if cache copy is dirty Disk à : Cache may have data corresponding to the memory
14 Snoopy Cache Goodman 1983 Idea: have the cache watch (or snoop upon) DMA transfers, and then do the right thing Snoopy cache tags are dual-ported Used to drive Bus when Cache is Bus Master roc. A R/W D Tags and State Data (lines) A R/W Snoopy read port attached to Bus Cache
15 Snoopy Cache Actions Observed Bus Cycle Read Cycle, i.e., à Disk Write Cycle, i.e., Disk à Cache State Address not cached Cached, unmodified Cached, modified Address not cached Cached, unmodified Cache Action No action No action Cache intervenes No action Cache purges its copy Cached, modified???
16 Shared Multiprocessor rocessor Cores Local Memories Bus 1 Snoopy Cache hysical 2 Snoopy Cache 3 Snoopy Cache DMA DISKS Use snoopy mechanism to keep all processors view of memory coherent
17 Cache State Transition Diagram The MSI protocol state bits Each cache line has a tag Address tag Other processor reads 1 writes back M: Modified S: Shared I: Invalid M 1 reads or writes Write miss Read miss Read by any processor S Other processor intends to write I Cache state in processor 1
18 Cache State Transition Diagram The MSI protocol state bits Each cache line has a tag Address tag M: Modified S: Shared I: Invalid M 1 reads or writes Write miss Read miss Read by any processor S Other processor intends to write I Other processor intends to write 1 writes back Cache state in processor 1
19 Cache State Transition Diagram The MSI protocol state bits Each cache line has a tag Address tag Other processor reads 1 writes back M: Modified S: Shared I: Invalid M 1 reads or writes Write miss Read miss Read by any processor S Other processor intends to write I Other processor intends to write 1 writes back Cache state in processor 1
20 2 rocessor Example 1 reads 1 writes 2 reads 2 writes 1 Read miss 2 reads, 1 writes back S 2 intends to write M I 1 reads or writes Write miss 2 intends to write 1 writes back 1 reads 1 writes 2 writes 1 writes 2 Read miss 1 reads, 2 writes back S 1 intends to write M I 2 reads or writes Write miss 1 intends to write 2 writes back
21 2 rocessor Example 1 reads 1 writes 2 reads 2 writes 1 Read miss 2 reads, 1 writes back S 2 intends to write M I 1 reads or writes Write miss 2 intends to write 1 writes back 1 reads 1 writes 2 writes 1 writes 2 Read miss 1 reads, 2 writes back S 1 intends to write M I 2 reads or writes Write miss 1 intends to write 2 writes back
22 Observation Other processor reads 1 writes back M 1 reads or writes Write miss Read miss Read by any processor S Other processor intent to write If a line is in the M state then no other cache can have a copy of the line! stays coherent, multiple differing copies cannot exist I Other processor intent to write 1 writes back
23 Next Class Cache Coherence - Directory Cache Coherence
Page 1. Cache Coherence
Page 1 Cache Coherence 1 Page 2 Memory Consistency in SMPs CPU-1 CPU-2 A 100 cache-1 A 100 cache-2 CPU-Memory bus A 100 memory Suppose CPU-1 updates A to 200. write-back: memory and cache-2 have stale
More informationCS 252 Graduate Computer Architecture. Lecture 11: Multiprocessors-II
CS 252 Graduate Computer Architecture Lecture 11: Multiprocessors-II Krste Asanovic Electrical Engineering and Computer Sciences University of California, Berkeley http://www.eecs.berkeley.edu/~krste http://inst.eecs.berkeley.edu/~cs252
More informationEC 513 Computer Architecture
EC 513 Computer Architecture Cache Coherence - Directory Cache Coherence Prof. Michel A. Kinsy Shared Memory Multiprocessor Processor Cores Local Memories Memory Bus P 1 Snoopy Cache Physical Memory P
More informationDr. George Michelogiannakis. EECS, University of California at Berkeley CRD, Lawrence Berkeley National Laboratory
CS 152 Computer Architecture and Engineering Lecture 18: Snoopy Caches Dr. George Michelogiannakis EECS, University of California at Berkeley CRD, Lawrence Berkeley National Laboratory http://inst.eecs.berkeley.edu/~cs152!
More informationCS252 Spring 2017 Graduate Computer Architecture. Lecture 12: Cache Coherence
CS252 Spring 2017 Graduate Computer Architecture Lecture 12: Cache Coherence Lisa Wu, Krste Asanovic http://inst.eecs.berkeley.edu/~cs252/sp17 WU UCB CS252 SP17 Last Time in Lecture 11 Memory Systems DRAM
More informationArvind Computer Science & Artificial Intelligence Lab. Massachusetts Institute of Technology
Constructive Computer Architecture Cache Coherence Arvind Computer Science & Artificial Intelligence Lab. Massachusetts Institute of Technology November 17, 2014 http://www.csg.csail.mit.edu/6.175 L21-1
More informationApproaches to Building Parallel Machines. Shared Memory Architectures. Example Cache Coherence Problem. Shared Cache Architectures
Approaches to Building arallel achines Switch/Bus n Scale Shared ory Architectures (nterleaved) First-level (nterleaved) ain memory n Arvind Krishnamurthy Fall 2004 (nterleaved) ain memory Shared Cache
More informationMemory Hierarchy in a Multiprocessor
EEC 581 Computer Architecture Multiprocessor and Coherence Department of Electrical Engineering and Computer Science Cleveland State University Hierarchy in a Multiprocessor Shared cache Fully-connected
More informationLecture 24: Board Notes: Cache Coherency
Lecture 24: Board Notes: Cache Coherency Part A: What makes a memory system coherent? Generally, 3 qualities that must be preserved (SUGGESTIONS?) (1) Preserve program order: - A read of A by P 1 will
More informationCache Coherence. Silvina Hanono Wachman Computer Science & Artificial Intelligence Lab M.I.T.
Coherence Silvina Hanono Wachman Computer Science & Artificial Intelligence Lab M.I.T. L25-1 Coherence Avoids Stale Data Multicores have multiple private caches for performance Need to provide the illusion
More informationCache Coherence. Silvina Hanono Wachman Computer Science & Artificial Intelligence Lab M.I.T.
Coherence Silvina Hanono Wachman Computer Science & Artificial Intelligence Lab M.I.T. L5- Coherence Avoids Stale Data Multicores have multiple private caches for performance Need to provide the illusion
More informationA Cache Coherence Protocol to Implement Sequential Consistency. Memory Consistency in SMPs
6.823, L20--1 A Cache Coherence rotocol to Ipleent Sequential Consistency Laboratory for Coputer Science M.I.T. http://www.csg.lcs.it.edu/6.823 Meory Consistency in SMs CU-1 CU-2 6.823, L20--2 A 100 cache-1
More informationContributors to the course material
Constructive Computer Architecture Cache Coherence Arvind Computer Science & Artificial Intelligence Lab. Massachusetts Institute of Technology November 18, 2013 http://www.csg.csail.mit.edu/6.s195 L21-1
More informationCache Coherence Protocols: Implementation Issues on SMP s. Cache Coherence Issue in I/O
6.823, L21--1 Cache Coherence Protocols: Implementation Issues on SMP s Laboratory for Computer Science M.I.T. http://www.csg.lcs.mit.edu/6.823 Cache Coherence Issue in I/O 6.823, L21--2 Processor Processor
More informationScalable Cache Coherence. Jinkyu Jeong Computer Systems Laboratory Sungkyunkwan University
Scalable Cache Coherence Jinkyu Jeong (jinkyu@skku.edu) Computer Systems Laboratory Sungkyunkwan University http://csl.skku.edu Hierarchical Cache Coherence Hierarchies in cache organization Multiple levels
More informationComputer Architecture
18-447 Computer Architecture CSCI-564 Advanced Computer Architecture Lecture 29: Consistency & Coherence Lecture 20: Consistency and Coherence Bo Wu Prof. Onur Mutlu Colorado Carnegie School Mellon University
More informationScalable Cache Coherence
arallel Computing Scalable Cache Coherence Hwansoo Han Hierarchical Cache Coherence Hierarchies in cache organization Multiple levels of caches on a processor Large scale multiprocessors with hierarchy
More informationScalable Cache Coherence
Scalable Cache Coherence [ 8.1] All of the cache-coherent systems we have talked about until now have had a bus. Not only does the bus guarantee serialization of transactions; it also serves as convenient
More informationCS 152 Computer Architecture and Engineering CS252 Graduate Computer Architecture. Lecture 18 Cache Coherence
CS 152 Computer Architecture and Engineering CS252 Graduate Computer Architecture Lecture 18 Cache Coherence Krste Asanovic Electrical Engineering and Computer Sciences University of California at Berkeley
More informationComputer Architecture and Engineering CS152 Quiz #5 April 27th, 2016 Professor George Michelogiannakis Name: <ANSWER KEY>
Computer Architecture and Engineering CS152 Quiz #5 April 27th, 2016 Professor George Michelogiannakis Name: This is a closed book, closed notes exam. 80 Minutes 19 pages Notes: Not all questions
More informationCSC 631: High-Performance Computer Architecture
CSC 631: High-Performance Computer Architecture Spring 2017 Lecture 10: Memory Part II CSC 631: High-Performance Computer Architecture 1 Two predictable properties of memory references: Temporal Locality:
More informationCache Coherence in Scalable Machines
ache oherence in Scalable Machines SE 661 arallel and Vector Architectures rof. Muhamed Mudawar omputer Engineering Department King Fahd University of etroleum and Minerals Generic Scalable Multiprocessor
More informationIntroduction to Multiprocessors (Part II) Cristina Silvano Politecnico di Milano
Introduction to Multiprocessors (Part II) Cristina Silvano Politecnico di Milano Outline The problem of cache coherence Snooping protocols Directory-based protocols Prof. Cristina Silvano, Politecnico
More informationEN2910A: Advanced Computer Architecture Topic 05: Coherency of Memory Hierarchy Prof. Sherief Reda School of Engineering Brown University
EN2910A: Advanced Computer Architecture Topic 05: Coherency of Memory Hierarchy Prof. Sherief Reda School of Engineering Brown University Material from: Parallel Computer Organization and Design by Debois,
More informationESE 545 Computer Architecture Symmetric Multiprocessors and Snoopy Cache Coherence Protocols CA SMP and cache coherence
Computer Architecture ESE 545 Computer Architecture Symmetric Multiprocessors and Snoopy Cache Coherence Protocols 1 Shared Memory Multiprocessor Memory Bus P 1 Snoopy Cache Physical Memory P 2 Snoopy
More informationOverview: Shared Memory Hardware. Shared Address Space Systems. Shared Address Space and Shared Memory Computers. Shared Memory Hardware
Overview: Shared Memory Hardware Shared Address Space Systems overview of shared address space systems example: cache hierarchy of the Intel Core i7 cache coherency protocols: basic ideas, invalidate and
More informationOverview: Shared Memory Hardware
Overview: Shared Memory Hardware overview of shared address space systems example: cache hierarchy of the Intel Core i7 cache coherency protocols: basic ideas, invalidate and update protocols false sharing
More informationChapter 5. Multiprocessors and Thread-Level Parallelism
Computer Architecture A Quantitative Approach, Fifth Edition Chapter 5 Multiprocessors and Thread-Level Parallelism 1 Introduction Thread-Level parallelism Have multiple program counters Uses MIMD model
More informationScalable Cache Coherent Systems Scalable distributed shared memory machines Assumptions:
Scalable ache oherent Systems Scalable distributed shared memory machines ssumptions: rocessor-ache-memory nodes connected by scalable network. Distributed shared physical address space. ommunication assist
More informationShared Memory Architectures. Approaches to Building Parallel Machines
Shared Memory Architectures Arvind Krishnamurthy Fall 2004 Approaches to Building Parallel Machines P 1 Switch/Bus P n Scale (Interleaved) First-level $ P 1 P n $ $ (Interleaved) Main memory Shared Cache
More informationCache Coherence. Todd C. Mowry CS 740 November 10, Topics. The Cache Coherence Problem Snoopy Protocols Directory Protocols
Cache Coherence Todd C. Mowry CS 740 November 10, 1998 Topics The Cache Coherence roblem Snoopy rotocols Directory rotocols The Cache Coherence roblem Caches are critical to modern high-speed processors
More informationPortland State University ECE 588/688. Cache Coherence Protocols
Portland State University ECE 588/688 Cache Coherence Protocols Copyright by Alaa Alameldeen 2018 Conditions for Cache Coherence Program Order. A read by processor P to location A that follows a write
More informationLecture 1: Introduction
Lecture 1: Introduction ourse organization: 4 lectures on cache coherence and consistency 2 lectures on transactional memory 2 lectures on interconnection networks 4 lectures on caches 4 lectures on memory
More informationCS/ECE 757: Advanced Computer Architecture II (Parallel Computer Architecture) Symmetric Multiprocessors Part 1 (Chapter 5)
CS/ECE 757: Advanced Computer Architecture II (Parallel Computer Architecture) Symmetric Multiprocessors Part 1 (Chapter 5) Copyright 2001 Mark D. Hill University of Wisconsin-Madison Slides are derived
More informationScalable Cache Coherent Systems
NUM SS Scalable ache oherent Systems Scalable distributed shared memory machines ssumptions: rocessor-ache-memory nodes connected by scalable network. Distributed shared physical address space. ommunication
More informationCache Coherence and Atomic Operations in Hardware
Cache Coherence and Atomic Operations in Hardware Previously, we introduced multi-core parallelism. Today we ll look at 2 things: 1. Cache coherence 2. Instruction support for synchronization. And some
More informationLecture 10: Cache Coherence: Part I. Parallel Computer Architecture and Programming CMU , Spring 2013
Lecture 10: Cache Coherence: Part I Parallel Computer Architecture and Programming Cache design review Let s say your code executes int x = 1; (Assume for simplicity x corresponds to the address 0x12345604
More informationLecture 24: Multiprocessing Computer Architecture and Systems Programming ( )
Systems Group Department of Computer Science ETH Zürich Lecture 24: Multiprocessing Computer Architecture and Systems Programming (252-0061-00) Timothy Roscoe Herbstsemester 2012 Most of the rest of this
More informationScalable Multiprocessors
Scalable Multiprocessors [ 11.1] scalable system is one in which resources can be added to the system without reaching a hard limit. Of course, there may still be economic limits. s the size of the system
More informationChapter 5 Thread-Level Parallelism. Abdullah Muzahid
Chapter 5 Thread-Level Parallelism Abdullah Muzahid 1 Progress Towards Multiprocessors + Rate of speed growth in uniprocessors is saturating + Modern multiple issue processors are becoming very complex
More information10 Parallel Organizations: Multiprocessor / Multicore / Multicomputer Systems
1 License: http://creativecommons.org/licenses/by-nc-nd/3.0/ 10 Parallel Organizations: Multiprocessor / Multicore / Multicomputer Systems To enhance system performance and, in some cases, to increase
More information4 Chip Multiprocessors (I) Chip Multiprocessors (ACS MPhil) Robert Mullins
4 Chip Multiprocessors (I) Robert Mullins Overview Coherent memory systems Introduction to cache coherency protocols Advanced cache coherency protocols, memory systems and synchronization covered in the
More informationIncoherent each cache copy behaves as an individual copy, instead of as the same memory location.
Cache Coherence This lesson discusses the problems and solutions for coherence. Different coherence protocols are discussed, including: MSI, MOSI, MOESI, and Directory. Each has advantages and disadvantages
More informationNOW Handout Page 1. Recap: Performance Trade-offs. Shared Memory Multiprocessors. Uniprocessor View. Recap (cont) What is a Multiprocessor?
ecap: erformance Trade-offs Shared ory Multiprocessors CS 258, Spring 99 David E. Culler Computer Science Division U.C. Berkeley rogrammer s View of erformance Speedup < Sequential Work Max (Work + Synch
More informationEN2910A: Advanced Computer Architecture Topic 05: Coherency of Memory Hierarchy
EN2910A: Advanced Computer Architecture Topic 05: Coherency of Memory Hierarchy Prof. Sherief Reda School of Engineering Brown University Material from: Parallel Computer Organization and Design by Debois,
More informationChapter 5. Multiprocessors and Thread-Level Parallelism
Computer Architecture A Quantitative Approach, Fifth Edition Chapter 5 Multiprocessors and Thread-Level Parallelism 1 Introduction Thread-Level parallelism Have multiple program counters Uses MIMD model
More informationHomework 6. BTW, This is your last homework. Assigned today, Tuesday, April 10 Due time: 11:59PM on Monday, April 23. CSCI 402: Computer Architectures
Homework 6 BTW, This is your last homework 5.1.1-5.1.3 5.2.1-5.2.2 5.3.1-5.3.5 5.4.1-5.4.2 5.6.1-5.6.5 5.12.1 Assigned today, Tuesday, April 10 Due time: 11:59PM on Monday, April 23 1 CSCI 402: Computer
More informationPortland State University ECE 588/688. Directory-Based Cache Coherence Protocols
Portland State University ECE 588/688 Directory-Based Cache Coherence Protocols Copyright by Alaa Alameldeen and Haitham Akkary 2018 Why Directory Protocols? Snooping-based protocols may not scale All
More informationComputer Organization
University of Pune S.E. I.T. Subject code: 214442 Computer Organization Part 25 : MESI Protocol UNIT IV Tushar B. Kute, Department of Information Technology, Sandip Institute of Technology & Research Centre,
More informationLecture 10: Cache Coherence: Part I. Parallel Computer Architecture and Programming CMU /15-618, Spring 2015
Lecture 10: Cache Coherence: Part I Parallel Computer Architecture and Programming CMU 15-418/15-618, Spring 2015 Tunes Marble House The Knife (Silent Shout) Before starting The Knife, we were working
More informationConsistency & Coherence. 4/14/2016 Sec5on 12 Colin Schmidt
Consistency & Coherence 4/14/2016 Sec5on 12 Colin Schmidt Agenda Brief mo5va5on Consistency vs Coherence Synchroniza5on Fences Mutexs, locks, semaphores Hardware Coherence Snoopy MSI, MESI Power, Frequency,
More informationShared Memory SMP and Cache Coherence (cont) Adapted from UCB CS252 S01, Copyright 2001 USB
Shared SMP and Cache Coherence (cont) Adapted from UCB CS252 S01, Copyright 2001 USB 1 Review: Snoopy Cache Protocol Write Invalidate Protocol: Multiple readers, single writer Write to shared data: an
More informationMultiprocessor Cache Coherence. Chapter 5. Memory System is Coherent If... From ILP to TLP. Enforcing Cache Coherence. Multiprocessor Types
Chapter 5 Multiprocessor Cache Coherence Thread-Level Parallelism 1: read 2: read 3: write??? 1 4 From ILP to TLP Memory System is Coherent If... ILP became inefficient in terms of Power consumption Silicon
More informationSuggested Readings! What makes a memory system coherent?! Lecture 27" Cache Coherency! ! Readings! ! Program order!! Sequential writes!! Causality!
1! 2! Suggested Readings! Readings!! H&P: Chapter 5.8! Could also look at material on CD referenced on p. 538 of your text! Lecture 27" Cache Coherency! 3! Processor components! Multicore processors and
More informationCache Coherence. Bryan Mills, PhD. Slides provided by Rami Melhem
Cache Coherence Bryan Mills, PhD Slides provided by Rami Melhem Cache coherence Programmers have no control over caches and when they get updated. x = 2; /* initially */ y0 eventually ends up = 2 y1 eventually
More informationCPS104 Computer Organization and Programming Lecture 20: Superscalar processors, Multiprocessors. Robert Wagner
CS104 Computer Organization and rogramming Lecture 20: Superscalar processors, Multiprocessors Robert Wagner Faster and faster rocessors So much to do, so little time... How can we make computers that
More informationShared Memory Multiprocessors. Symmetric Shared Memory Architecture (SMP) Cache Coherence. Cache Coherence Mechanism. Interconnection Network
Shared Memory Multis Processor Processor Processor i Processor n Symmetric Shared Memory Architecture (SMP) cache cache cache cache Interconnection Network Main Memory I/O System Cache Coherence Cache
More informationMultiprocessor Cache Coherency. What is Cache Coherence?
Multiprocessor Cache Coherency CS448 1 What is Cache Coherence? Two processors can have two different values for the same memory location 2 1 Terminology Coherence Defines what values can be returned by
More informationCache Coherence in Bus-Based Shared Memory Multiprocessors
Cache Coherence in Bus-Based Shared Memory Multiprocessors Shared Memory Multiprocessors Variations Cache Coherence in Shared Memory Multiprocessors A Coherent Memory System: Intuition Formal Definition
More informationSnooping coherence protocols (cont.)
Snooping coherence protocols (cont.) A four-state update protocol [ 5.3.3] When there is a high degree of sharing, invalidation-based protocols perform poorly. Blocks are often invalidated, and then have
More informationCS 152 Computer Architecture and Engineering. Lecture 19: Directory-Based Cache Protocols
CS 152 Computer Architecture and Engineering Lecture 19: Directory-Based Cache Protocols Krste Asanovic Electrical Engineering and Computer Sciences University of California, Berkeley http://www.eecs.berkeley.edu/~krste
More informationComputer Architecture and Parallel Computing 并行结构与计算. Lecture 6 Coherence Protocols
Computer Architecture and Parallel Computing 并行结构与计算 Lecture 6 Coherence Protocols Peng Liu ( 刘鹏 ) College of Information Science and Electronic Engineering Zhejiang University, Hangzhou 310027, China
More informationCS 152 Computer Architecture and Engineering. Lecture 19: Directory-Based Cache Protocols
CS 152 Computer Architecture and Engineering Lecture 19: Directory-Based Cache Protocols Krste Asanovic Electrical Engineering and Computer Sciences University of California, Berkeley http://www.eecs.berkeley.edu/~krste
More informationLecture 17: Parallel Architectures and Future Computer Architectures. Shared-Memory Multiprocessors
Lecture 17: arallel Architectures and Future Computer Architectures rof. Kunle Olukotun EE 282h Fall 98/99 1 Shared-emory ultiprocessors Several processors share one address space» conceptually a shared
More informationThe Cache Write Problem
Cache Coherency A multiprocessor and a multicomputer each comprise a number of independent processors connected by a communications medium, either a bus or more advanced switching system, such as a crossbar
More informationCMSC Computer Architecture Lecture 15: Memory Consistency and Synchronization. Prof. Yanjing Li University of Chicago
CMSC 22200 Computer Architecture Lecture 15: Memory Consistency and Synchronization Prof. Yanjing Li University of Chicago Administrative Stuff! Lab 5 (multi-core) " Basic requirements: out later today
More informationComputer Architecture. A Quantitative Approach, Fifth Edition. Chapter 5. Multiprocessors and Thread-Level Parallelism
Computer Architecture A Quantitative Approach, Fifth Edition Chapter 5 Multiprocessors and Thread-Level Parallelism 1 Introduction Thread-Level parallelism Have multiple program counters Uses MIMD model
More informationComputer Systems Architecture
Computer Systems Architecture Lecture 24 Mahadevan Gomathisankaran April 29, 2010 04/29/2010 Lecture 24 CSCE 4610/5610 1 Reminder ABET Feedback: http://www.cse.unt.edu/exitsurvey.cgi?csce+4610+001 Student
More informationCache Coherence in Scalable Machines
Cache Coherence in Scalable Machines COE 502 arallel rocessing Architectures rof. Muhamed Mudawar Computer Engineering Department King Fahd University of etroleum and Minerals Generic Scalable Multiprocessor
More informationChapter 5. Thread-Level Parallelism
Chapter 5 Thread-Level Parallelism Instructor: Josep Torrellas CS433 Copyright Josep Torrellas 1999, 2001, 2002, 2013 1 Progress Towards Multiprocessors + Rate of speed growth in uniprocessors saturated
More informationParallel Programming Platforms
arallel rogramming latforms Ananth Grama Computing Research Institute and Department of Computer Sciences, urdue University ayg@cspurdueedu http://wwwcspurdueedu/people/ayg Reference: Introduction to arallel
More informationECE 485/585 Microprocessor System Design
Microprocessor System Design Lecture 11: Reducing Hit Time Cache Coherence Zeshan Chishti Electrical and Computer Engineering Dept Maseeh College of Engineering and Computer Science Source: Lecture based
More informationParallel Architecture. Sathish Vadhiyar
Parallel Architecture Sathish Vadhiyar Motivations of Parallel Computing Faster execution times From days or months to hours or seconds E.g., climate modelling, bioinformatics Large amount of data dictate
More informationLimitations of parallel processing
Your professor du jour: Steve Gribble gribble@cs.washington.edu 323B Sieg Hall all material in this lecture in Henessey and Patterson, Chapter 8 635-640 645, 646 654-665 11/8/00 CSE 471 Multiprocessors
More informationProcessor Architecture
Processor Architecture Shared Memory Multiprocessors M. Schölzel The Coherence Problem s may contain local copies of the same memory address without proper coordination they work independently on their
More informationCMSC 411 Computer Systems Architecture Lecture 21 Multiprocessors 3
MS 411 omputer Systems rchitecture Lecture 21 Multiprocessors 3 Outline Review oherence Write onsistency dministrivia Snooping Building Blocks Snooping protocols and examples oherence traffic and performance
More informationCS 152 Computer Architecture and Engineering
CS 152 Computer Architecture and Engineering Lecture 18: Directory-Based Cache Protocols John Wawrzynek EECS, University of California at Berkeley http://inst.eecs.berkeley.edu/~cs152 Administrivia 2 Recap:
More informationLecture 18: Coherence Protocols. Topics: coherence protocols for symmetric and distributed shared-memory multiprocessors (Sections
Lecture 18: Coherence Protocols Topics: coherence protocols for symmetric and distributed shared-memory multiprocessors (Sections 4.2-4.4) 1 SMP/UMA/Centralized Memory Multiprocessor Main Memory I/O System
More informationParallel Computer Architecture Lecture 5: Cache Coherence. Chris Craik (TA) Carnegie Mellon University
18-742 Parallel Computer Architecture Lecture 5: Cache Coherence Chris Craik (TA) Carnegie Mellon University Readings: Coherence Required for Review Papamarcos and Patel, A low-overhead coherence solution
More informationCache Coherence. (Architectural Supports for Efficient Shared Memory) Mainak Chaudhuri
Cache Coherence (Architectural Supports for Efficient Shared Memory) Mainak Chaudhuri mainakc@cse.iitk.ac.in 1 Setting Agenda Software: shared address space Hardware: shared memory multiprocessors Cache
More informationCache Coherence: Part II Scalable Approaches
ache oherence: art II Scalable pproaches Hierarchical ache oherence Todd. Mowry S 74 October 27, 2 (a) 1 2 1 2 (b) 1 Topics Hierarchies Directory rotocols Hierarchies arise in different ways: (a) processor
More informationSymmetric Multiprocessors
Symmetric Multiprocessors Implementing a single memory image operated upon by multiple processors is possible at small scales. The SMP is a standard design in which cache coherency allows all processors
More informationSpecial Topics. Module 14: "Directory-based Cache Coherence" Lecture 33: "SCI Protocol" Directory-based Cache Coherence: Sequent NUMA-Q.
Directory-based Cache Coherence: Special Topics Sequent NUMA-Q SCI protocol Directory overhead Cache overhead Handling read miss Handling write miss Handling writebacks Roll-out protocol Snoop interaction
More informationReview. EECS 252 Graduate Computer Architecture. Lec 13 Snooping Cache and Directory Based Multiprocessors. Outline. Challenges of Parallel Processing
EEC 252 Graduate Computer Architecture Lec 13 nooping Cache and Directory Based Multiprocessors David atterson Electrical Engineering and Computer ciences University of California, Berkeley http://www.eecs.berkeley.edu/~pattrsn
More informationModule 9: Addendum to Module 6: Shared Memory Multiprocessors Lecture 17: Multiprocessor Organizations and Cache Coherence. The Lecture Contains:
The Lecture Contains: Shared Memory Multiprocessors Shared Cache Private Cache/Dancehall Distributed Shared Memory Shared vs. Private in CMPs Cache Coherence Cache Coherence: Example What Went Wrong? Implementations
More informationCOEN-4730 Computer Architecture Lecture 08 Thread Level Parallelism and Coherence
1 COEN-4730 Computer Architecture Lecture 08 Thread Level Parallelism and Coherence Cristinel Ababei Dept. of Electrical and Computer Engineering Marquette University Credits: Slides adapted from presentations
More informationShared Memory Multiprocessors
Parallel Computing Shared Memory Multiprocessors Hwansoo Han Cache Coherence Problem P 0 P 1 P 2 cache load r1 (100) load r1 (100) r1 =? r1 =? 4 cache 5 cache store b (100) 3 100: a 100: a 1 Memory 2 I/O
More informationRecall: Sequential Consistency. CS 258 Parallel Computer Architecture Lecture 15. Sequential Consistency and Snoopy Protocols
CS 258 Parallel Computer Architecture Lecture 15 Sequential Consistency and Snoopy Protocols arch 17, 2008 Prof John D. Kubiatowicz http://www.cs.berkeley.edu/~kubitron/cs258 ecall: Sequential Consistency
More informationIntroduction. Coherency vs Consistency. Lec-11. Multi-Threading Concepts: Coherency, Consistency, and Synchronization
Lec-11 Multi-Threading Concepts: Coherency, Consistency, and Synchronization Coherency vs Consistency Memory coherency and consistency are major concerns in the design of shared-memory systems. Consistency
More informationCS 152 Computer Architecture and Engineering. Lecture 19: Directory-Based Cache Protocols
CS 152 Computer Architecture and Engineering Lecture 19: Directory-Based Protocols Dr. George Michelogiannakis EECS, University of California at Berkeley CRD, Lawrence Berkeley National Laboratory http://inst.eecs.berkeley.edu/~cs152
More informationLecture 7: PCM Wrap-Up, Cache coherence. Topics: handling PCM errors and writes, cache coherence intro
Lecture 7: M Wrap-Up, ache coherence Topics: handling M errors and writes, cache coherence intro 1 Optimizations for Writes (Energy, Lifetime) Read a line before writing and only write the modified bits
More informationAdvanced OpenMP. Lecture 3: Cache Coherency
Advanced OpenMP Lecture 3: Cache Coherency Cache coherency Main difficulty in building multiprocessor systems is the cache coherency problem. The shared memory programming model assumes that a shared variable
More informationFoundations of Computer Systems
18-600 Foundations of Computer Systems Lecture 21: Multicore Cache Coherence John P. Shen & Zhiyi Yu November 14, 2016 Prevalence of multicore processors: 2006: 75% for desktops, 85% for servers 2007:
More informationRecall: Sequential Consistency Example. Implications for Implementation. Issues for Directory Protocols
ecall: Sequential onsistency Example S252 Graduate omputer rchitecture Lecture 21 pril 14 th, 2010 Distributed Shared ory rof John D. Kubiatowicz http://www.cs.berkeley.edu/~kubitron/cs252 rocessor 1 rocessor
More informationLecture notes for CS Chapter 4 11/27/18
Chapter 5: Thread-Level arallelism art 1 Introduction What is a parallel or multiprocessor system? Why parallel architecture? erformance potential Flynn classification Communication models Architectures
More informationLecture 25: Multiprocessors. Today s topics: Snooping-based cache coherence protocol Directory-based cache coherence protocol Synchronization
Lecture 25: Multiprocessors Today s topics: Snooping-based cache coherence protocol Directory-based cache coherence protocol Synchronization 1 Snooping-Based Protocols Three states for a block: invalid,
More informationCache Coherence. CMU : Parallel Computer Architecture and Programming (Spring 2012)
Cache Coherence CMU 15-418: Parallel Computer Architecture and Programming (Spring 2012) Shared memory multi-processor Processors read and write to shared variables - More precisely: processors issues
More informationModule 9: "Introduction to Shared Memory Multiprocessors" Lecture 16: "Multiprocessor Organizations and Cache Coherence" Shared Memory Multiprocessors
Shared Memory Multiprocessors Shared memory multiprocessors Shared cache Private cache/dancehall Distributed shared memory Shared vs. private in CMPs Cache coherence Cache coherence: Example What went
More informationCSC526: Parallel Processing Fall 2016
CSC526: Parallel Processing Fall 2016 WEEK 5: Caches in Multiprocessor Systems * Addressing * Cache Performance * Writing Policy * Cache Coherence (CC) Problem * Snoopy Bus Protocols PART 1: HARDWARE Dr.
More informationShared Memory Multiprocessors
Shared Memory Multiprocessors Jesús Labarta Index 1 Shared Memory architectures............... Memory Interconnect Cache Processor Concepts? Memory Time 2 Concepts? Memory Load/store (@) Containers Time
More information