Directed Test Generation for Validation of Cache Coherence Protocols Yangdi Lyu, Xiaoke Qin, Mingsong Chen, Member, IEEE and Prabhat Mishra, Senior Member, IEEE
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Page 1 Cache Coherence in More Detail
What is (Hardware) Shared Memory? • Take multiple microprocessors ECE 259 / CPS 221 Advanced Computer Architecture II (Parallel Computer Architecture) • Implement a memory system with a single global physical address space (usually) Shared Memory MPs – Coherence & Snooping – Communication assist HW does the “magic” of cache coherence Copyright 2006 Daniel J. Sorin • Goal 1: Minimize memory latency Duke University – Use co-location & caches Slides are derived from work by • Goal 2: Maximize memory bandwidth Sarita Adve (Illinois), Babak Falsafi (CMU), – Use parallelism & caches Mark Hill (Wisconsin), Alvy Lebeck (Duke), Steve Reinhardt (Michigan), and J. P. Singh (Princeton). Thanks! (C) 2006 Daniel J. Sorin from Adve, Falsafi, Hill, Lebeck, Reinhardt, Singh ECE 259 / CPS 221 3 Outline Some Memory System Options • Motivation for Cache-Coherent Shared Memory P1 Pn Switch P P1 n (Interleaved) First-level $ • Snooping Cache Coherence (Chapter 5) $ $ – Basic systems Bus (Interleaved) – Design tradeoffs Main memory Mem I/O devices • Implementing Snooping Systems (Chapter 6) (a) Shared cache (b) Bus-based shared memory P1 Pn P • Advanced Snooping Systems P1 n $ $ $ $ Mem Mem Interconnection network Interconnection network Mem Mem (c) Dancehall (d) Distributed-memory (C) 2006 Daniel J. Sorin from Adve, (C) 2006 Daniel J. Sorin from Adve, Falsafi, Hill, Lebeck, Reinhardt, Singh ECE 259 / CPS 221 2 Falsafi, Hill, Lebeck, Reinhardt, Singh ECE 259 / CPS 221 4 Page 1 Cache Coherence In More Detail • According to Webster’s dictionary … • Efficient -
A Simulation Framework for Evaluating Location Consistency Based Cache
LC-SIM: A SIMULATION FRAMEWORK FOR EVALUATING LOCATION CONSISTENCY BASED CACHE PROTOCOLS by Pouya Fotouhi A thesis submitted to the Faculty of the University of Delaware in partial fulfillment of the requirements for the degree of Master of Science in Computer Engineering Spring 2017 c 2017 Pouya Fotouhi All Rights Reserved LC-SIM: A SIMULATION FRAMEWORK FOR EVALUATING LOCATION CONSISTENCY BASED CACHE PROTOCOLS by Pouya Fotouhi Approved: Guang R. Gao,Ph.D. Professor in charge of thesis on behalf of the Advisory Committee Approved: Kenneth E. Barner, Ph.D. Chair of the Department of Electrical and Computer Engineering Approved: Babatunde A. Ogunnaike, Ph.D. Dean of the College of Engineering Approved: Ann L. Ardis, Ph.D. Senior Vice Provost for Graduate and Professional Education ACKNOWLEDGMENTS I would like to thank Professor Gao for giving me the opportunity of joining CAPSL and multi-dimensional learning experience. With special thanks to Dr. St´ephaneZuckerman for guiding me step by step over the research, and my colleague Jose Monsalve Diaz for deep discussions and his technical help. Very special thanks to my wife Elnaz , and also my parents for their support and love. iii TABLE OF CONTENTS LIST OF FIGURES ::::::::::::::::::::::::::::::: vi ABSTRACT ::::::::::::::::::::::::::::::::::: ix Chapter 1 INTRODUCTION :::::::::::::::::::::::::::::: 1 2 BACKGROUND ::::::::::::::::::::::::::::::: 4 2.1 An Introduction to Memory Consistency Models :::::::::::: 5 2.1.1 Uniform Memory Consistency Models :::::::::::::: 6 2.1.1.1 Sequential Consistency -
Models for Addressing Cache Coherence Problems 9 INTERNATIONAL JOURNAL of NATURAL and APPLIED SCIENCES (IJNAS), VOL
Models for addressing cache coherence problems 9 INTERNATIONAL JOURNAL OF NATURAL AND APPLIED SCIENCES (IJNAS), VOL. 12, Special Edition (2019); P. 9 – 14, 1 TABLE, 4 FIG. Models for addressing cache coherence problems in multilevel caches: A review paper * I. I. Arikpo and A. T. Okoro ABSTRACT The computational tasks of the 21st century require systems with high processing speed. This can be achieved by having, among other system specifications, a high capacity microprocessor and large cache size in a single processor system. The cache prevents round-trips to RAM for every memory access. Nevertheless, dependence on a single cache for both data and instructions limits the performance of the system regardless of the capacity of the processor and cache size. Multilevel cache is a technological advancement that has made it possible for a multi-core processor system to have more than one cache. The introduction of multilevel cache technology no doubt speeds up system operations and enhances performance, but is also not without limitations. Cache coherence issues are common problems inherent in this design. Different protocols have been designed to ameliorate the issues surrounding cache coherence. The aim of this paper is to discuss the efficiency of these protocols in addressing cache coherence problems in multilevel cache technologies. INTRODUCTION instructions and data over a short period of time (Stallings, 2013). With the ever-increasing rate of processor speed, an equivalent Computer hardware consists of many components including the increase in cache memory is necessary to ensure that data is timely memory unit, which is primarily used for information storage. -
A Primer on Memory Consistency and CACHE COHERENCE CONSISTENCY on MEMORY a PRIMER and Cache Coherence Consistency and Daniel J
Series ISSN: 1935-3235 SORINWOOD •HILL • SYNTHESIS LECTURES ON M Morgan& Claypool Publishers COMPUTER ARCHITECTURE &C Series Editor: Mark D. Hill, University of Wisconsin A Primer on Memory A Primer on Memory Consistency A PRIMER ON MEMORY CONSISTENCY AND CACHE COHERENCE and Cache Coherence Consistency and Daniel J. Sorin, Duke University Mark D. Hill and David A. Wood, University of Wisconsin, Madison Cache Coherence Many modern computer systems and most multicore chips (chip multiprocessors) support shared memory in hardware. In a shared memory system, each of the processor cores may read and write to a single shared address space. For a shared memory machine, the memory consistency model defines the architecturally visible behavior of its memory system. Consistency definitions provide rules about loads and stores (or memory reads and writes) and how they act upon memory. As part of supporting a memory consistency model, many machines also provide cache coherence proto-cols that ensure that multiple cached copies of data are kept up-to-date. The goal of this primer is to provide readers with a basic understanding of consistency and coherence. This understanding includes both the issues that Daniel J. Sorin must be solved as well as a variety of solutions. We present both high-level concepts as well as specific, concrete examples from real-world systems. Mark D. Hill David A. Wood About SYNTHESIs This volume is a printed version of a work that appears in the Synthesis MORGAN Digital Library of Engineering and Computer Science. Synthesis Lectures provide concise, original presentations of important research and development topics, published quickly, in digital and print formats. -
Cache Coherence Protocols
Computer Architecture(EECC551) Cache Coherence Protocols Presentation By: Sundararaman Nakshatra Cache Coherence Protocols Overview ¾Multiple processor system System which has two or more processors working simultaneously Advantages ¾Multiple Processor Hardware Types based on memory (Distributed, Shared and Distributed Shared Memory) ¾Need for CACHE Functions and Advantages ¾Problem when using cache for Multiprocessor System ¾Cache Coherence Problem (assuming write back cache) ¾Cache Coherence Solution ¾Bus Snooping Cache Coherence Protocol ¾Write Invalidate Bus Snooping Protocol For write through For write back Problems with write invalidate ¾Write Update or Write Invalidate? A Comparison ¾Some other Cache Coherence Protocols ¾Enhancements in Cache Coherence Protocols ¾References Multiple Processor System A computer system which has two or more processors working simultaneously and sharing the same hard disk, memory and other memory devices. Advantages: • Reduced Cost: Multiple processors share the same resources (like power supply and mother board). • Increased Reliability: The failure of one processor does not affect the other processors though it will slow down the machine provided there is no master and slave processor. • Increased Throughput: An increase in the number of processes completes the work in less time. Multiple Processor Hardware Bus-based multiprocessors Why do we need cache? Cache Memory : “A computer memory with very short access time used for storage of frequently used instructions or data” – webster.com Cache memory