The memory gap. 1980: no cache in µproc; level cache on Alpha µproc

Size: px
Start display at page:

Download "The memory gap. 1980: no cache in µproc; level cache on Alpha µproc"

Transcription

1 The memory gap 1980: no cache in µproc; level cache on Alpha µproc

2 Memory Technology Review DRAM: value is stored as a charge on capacitor (must be refreshed,ras/cas) very small but slower than SRAM (factor of 5 to 10) Word line Pass transistor Capacitor SRAM: Bit line value is stored on a pair of inverting gates (e.g. D-Latch) very fast but takes up more space than DRAM (4 to 6 transistors)

3 General Principles Locality Temporal Locality: referenced again soon Spatial Locality: nearby items referenced soon Locality + smaller mem is faster = memory hierarchy Levels: each smaller, faster, more expensive/byte than level below Inclusive: data found in top also found in the bottom Definitions Upper is closer to processor Block: minimum unit that present or not in upper level Address = Block frame address + block offset address Hit time: time to access upper level, including hit determination Why does code have locality?

4 Locality Temporal locality Recently used item is likely to be re-used in near future Spatial locality Addresses close together physically tend to be referenced close together in time 90/10 Locality Rule: Code executes 90% of its instructions in 10% of its code.

5 The memory hierarchy Users want large, fast memories cheap! (conflict) SRAM speed/capacity Lower power, faster DRAM cost/capacity Refreshing, less expensive

6 The memory hierarchy CPU Level 1 Increasing distance from the CPU in access time Levels in the memory hierarchy Level 2 Level n Size of the memory at each level

7 Who s in control? cost Registers Cache Memory Storage size compiler hardware OS OS/user

8 Q1: Where can a block be placed in the upper level?

9 Q2: How Is a Block Found If It Is in the Upper Level? Tag on each block No need to check index or block offset Increasing associativity shrinks index, expands Given a block address, it can only be found in the set specified in index. All s in index set must be compared to block address (in parallel) to find a hit. Block Frame Address Tag Index Block Offset FA: No index Find block in set Select set DM: Large index Block address compared to block frame address () for all frames in cache in parallel

10 Block address index index index index index index index index Q2: How Is a Block Found If It Is in the Upper Level? FA: No index DM: Large index Block Frame Address Tag Index index index index index Given a block address, it can only be found in the set specified in index. All s in index set must be compared to block address (in parallel) to find a hit. Block Offset

11 Cache Performance cpu execution time (cpuclock cycles mem stall cycles)*clock cycle time mem stall cycles (# misses* miss penalty) # misses IC * *miss penalty instruction memory accesses IC * * miss rate* miss penalty instruction

12 Split cache 64% non-data transfers 36% data transfers Single ported unified cache split cache miss rate Example 1 # misses/#instr # mem accesses/# instr # misses # mem accesses mem accesses/1 instr: imiss rate16kb mem accesses/1 instr: dmiss rate16kb miss rate Misses per instruction Size Icache Dcache Ucache 16KB KB KB 16KB Unified cache Data instr All other instr Hit time 2 1 Miss time (.00382).26(.1136).0324 Instruction stream 74% instr refs 26% data refs Unified cache data accesses/1 instr: umiss rate32kb Split cache miss rate > Unified cache miss rate

13 64% non-data transfers 36% data transfers Example 1 Instruction stream Misses per instruction Size Icache Dcache Ucache 16KB KB Unified cache Data instr All other instr Hit time 2 1 Miss time % instr refs 26% data refs AMAT hit time miss rate*miss penalty AMAT % I( AMAT I ) % D( AMAT D ) AMATsplit.74( *100).26(1.1136*100) 4.24 AMATunified.74(1.0318*100).26(2.0318*100) 4.44 Split cache AMAT < Unified cache AMAT [opposite of cache miss rate result (split > unified)]

14 A Closer Look at Misses Classifying Misses: 3 Cs Compulsory The first access to a block is not in the cache, so the block must be brought into the cache. These are also called cold start misses or first reference misses. (Misses in Infinite Cache) Capacity If the cache cannot contain all the blocks needed during execution of a program, capacity misses will occur due to blocks being discarded and later retrieved. (Misses in Size X Cache) Conflict If the block-placement strategy is set associative or direct mapped, conflict misses (in addition to compulsory and capacity misses) will occur because a block can be discarded and later retrieved if too many blocks map to its set. These are also called collision misses or interference misses. (Misses in N-way Associative, Size X Cache) CPU Cache

15 Cs Absolute Miss Rate way 2-way 4-way 8-way Conflict Capacity Cache Size (KB) Compulsory

16 Block Size vs. Cache Measures Increasing Block Size generally increases Miss Penalty and decreases Miss Rate Miss Penalty X Miss = Rate Avg. Memory Access Time Block Size Block Size Block Size Block Size Block Size

Memory Hierarchy. Maurizio Palesi. Maurizio Palesi 1

Memory Hierarchy. Maurizio Palesi. Maurizio Palesi 1 Memory Hierarchy Maurizio Palesi Maurizio Palesi 1 References John L. Hennessy and David A. Patterson, Computer Architecture a Quantitative Approach, second edition, Morgan Kaufmann Chapter 5 Maurizio

More information

Memory Hierarchy. Maurizio Palesi. Maurizio Palesi 1

Memory Hierarchy. Maurizio Palesi. Maurizio Palesi 1 Memory Hierarchy Maurizio Palesi Maurizio Palesi 1 References John L. Hennessy and David A. Patterson, Computer Architecture a Quantitative Approach, second edition, Morgan Kaufmann Chapter 5 Maurizio

More information

Memory Hierarchy Motivation, Definitions, Four Questions about Memory Hierarchy

Memory Hierarchy Motivation, Definitions, Four Questions about Memory Hierarchy Memory Hierarchy Motivation, Definitions, Four Questions about Memory Hierarchy Soner Onder Michigan Technological University Randy Katz & David A. Patterson University of California, Berkeley Levels in

More information

Memory Hierarchies. Instructor: Dmitri A. Gusev. Fall Lecture 10, October 8, CS 502: Computers and Communications Technology

Memory Hierarchies. Instructor: Dmitri A. Gusev. Fall Lecture 10, October 8, CS 502: Computers and Communications Technology Memory Hierarchies Instructor: Dmitri A. Gusev Fall 2007 CS 502: Computers and Communications Technology Lecture 10, October 8, 2007 Memories SRAM: value is stored on a pair of inverting gates very fast

More information

Lecture 16: Memory Hierarchy Misses, 3 Cs and 7 Ways to Reduce Misses. Professor Randy H. Katz Computer Science 252 Fall 1995

Lecture 16: Memory Hierarchy Misses, 3 Cs and 7 Ways to Reduce Misses. Professor Randy H. Katz Computer Science 252 Fall 1995 Lecture 16: Memory Hierarchy Misses, 3 Cs and 7 Ways to Reduce Misses Professor Randy H. Katz Computer Science 252 Fall 1995 Review: Who Cares About the Memory Hierarchy? Processor Only Thus Far in Course:

More information

Topics. Digital Systems Architecture EECE EECE Need More Cache?

Topics. Digital Systems Architecture EECE EECE Need More Cache? Digital Systems Architecture EECE 33-0 EECE 9-0 Need More Cache? Dr. William H. Robinson March, 00 http://eecs.vanderbilt.edu/courses/eece33/ Topics Cache: a safe place for hiding or storing things. Webster

More information

Lecture 16: Memory Hierarchy Misses, 3 Cs and 7 Ways to Reduce Misses Professor Randy H. Katz Computer Science 252 Spring 1996

Lecture 16: Memory Hierarchy Misses, 3 Cs and 7 Ways to Reduce Misses Professor Randy H. Katz Computer Science 252 Spring 1996 Lecture 16: Memory Hierarchy Misses, 3 Cs and 7 Ways to Reduce Misses Professor Randy H. Katz Computer Science 252 Spring 1996 RHK.S96 1 Review: Who Cares About the Memory Hierarchy? Processor Only Thus

More information

Chapter 7 Large and Fast: Exploiting Memory Hierarchy. Memory Hierarchy. Locality. Memories: Review

Chapter 7 Large and Fast: Exploiting Memory Hierarchy. Memory Hierarchy. Locality. Memories: Review Memories: Review Chapter 7 Large and Fast: Exploiting Hierarchy DRAM (Dynamic Random Access ): value is stored as a charge on capacitor that must be periodically refreshed, which is why it is called dynamic

More information

Caching Basics. Memory Hierarchies

Caching Basics. Memory Hierarchies Caching Basics CS448 1 Memory Hierarchies Takes advantage of locality of reference principle Most programs do not access all code and data uniformly, but repeat for certain data choices spatial nearby

More information

COSC4201. Chapter 5. Memory Hierarchy Design. Prof. Mokhtar Aboelaze York University

COSC4201. Chapter 5. Memory Hierarchy Design. Prof. Mokhtar Aboelaze York University COSC4201 Chapter 5 Memory Hierarchy Design Prof. Mokhtar Aboelaze York University 1 Memory Hierarchy The gap between CPU performance and main memory has been widening with higher performance CPUs creating

More information

CSE 431 Computer Architecture Fall Chapter 5A: Exploiting the Memory Hierarchy, Part 1

CSE 431 Computer Architecture Fall Chapter 5A: Exploiting the Memory Hierarchy, Part 1 CSE 431 Computer Architecture Fall 2008 Chapter 5A: Exploiting the Memory Hierarchy, Part 1 Mary Jane Irwin ( www.cse.psu.edu/~mji ) [Adapted from Computer Organization and Design, 4 th Edition, Patterson

More information

Chapter Seven. Memories: Review. Exploiting Memory Hierarchy CACHE MEMORY AND VIRTUAL MEMORY

Chapter Seven. Memories: Review. Exploiting Memory Hierarchy CACHE MEMORY AND VIRTUAL MEMORY Chapter Seven CACHE MEMORY AND VIRTUAL MEMORY 1 Memories: Review SRAM: value is stored on a pair of inverting gates very fast but takes up more space than DRAM (4 to 6 transistors) DRAM: value is stored

More information

The University of Adelaide, School of Computer Science 13 September 2018

The University of Adelaide, School of Computer Science 13 September 2018 Computer Architecture A Quantitative Approach, Sixth Edition Chapter 2 Memory Hierarchy Design 1 Programmers want unlimited amounts of memory with low latency Fast memory technology is more expensive per

More information

COSC4201. Chapter 4 Cache. Prof. Mokhtar Aboelaze York University Based on Notes By Prof. L. Bhuyan UCR And Prof. M. Shaaban RIT

COSC4201. Chapter 4 Cache. Prof. Mokhtar Aboelaze York University Based on Notes By Prof. L. Bhuyan UCR And Prof. M. Shaaban RIT COSC4201 Chapter 4 Cache Prof. Mokhtar Aboelaze York University Based on Notes By Prof. L. Bhuyan UCR And Prof. M. Shaaban RIT 1 Memory Hierarchy The gap between CPU performance and main memory has been

More information

Q3: Block Replacement. Replacement Algorithms. ECE473 Computer Architecture and Organization. Memory Hierarchy: Set Associative Cache

Q3: Block Replacement. Replacement Algorithms. ECE473 Computer Architecture and Organization. Memory Hierarchy: Set Associative Cache Fundamental Questions Computer Architecture and Organization Hierarchy: Set Associative Q: Where can a block be placed in the upper level? (Block placement) Q: How is a block found if it is in the upper

More information

CS 61C: Great Ideas in Computer Architecture. Direct Mapped Caches

CS 61C: Great Ideas in Computer Architecture. Direct Mapped Caches CS 61C: Great Ideas in Computer Architecture Direct Mapped Caches Instructor: Justin Hsia 7/05/2012 Summer 2012 Lecture #11 1 Review of Last Lecture Floating point (single and double precision) approximates

More information

Page 1. Multilevel Memories (Improving performance using a little cash )

Page 1. Multilevel Memories (Improving performance using a little cash ) Page 1 Multilevel Memories (Improving performance using a little cash ) 1 Page 2 CPU-Memory Bottleneck CPU Memory Performance of high-speed computers is usually limited by memory bandwidth & latency Latency

More information

CS422 Computer Architecture

CS422 Computer Architecture CS422 Computer Architecture Spring 2004 Lecture 19, 04 Mar 2004 Bhaskaran Raman Department of CSE IIT Kanpur http://web.cse.iitk.ac.in/~cs422/index.html Topics for Today Cache Performance Cache Misses:

More information

Lecture-14 (Memory Hierarchy) CS422-Spring

Lecture-14 (Memory Hierarchy) CS422-Spring Lecture-14 (Memory Hierarchy) CS422-Spring 2018 Biswa@CSE-IITK The Ideal World Instruction Supply Pipeline (Instruction execution) Data Supply - Zero-cycle latency - Infinite capacity - Zero cost - Perfect

More information

The Memory Hierarchy & Cache Review of Memory Hierarchy & Cache Basics (from 350):

The Memory Hierarchy & Cache Review of Memory Hierarchy & Cache Basics (from 350): The Memory Hierarchy & Cache Review of Memory Hierarchy & Cache Basics (from 350): Motivation for The Memory Hierarchy: { CPU/Memory Performance Gap The Principle Of Locality Cache $$$$$ Cache Basics:

More information

CENG 3420 Computer Organization and Design. Lecture 08: Memory - I. Bei Yu

CENG 3420 Computer Organization and Design. Lecture 08: Memory - I. Bei Yu CENG 3420 Computer Organization and Design Lecture 08: Memory - I Bei Yu CEG3420 L08.1 Spring 2016 Outline q Why Memory Hierarchy q How Memory Hierarchy? SRAM (Cache) & DRAM (main memory) Memory System

More information

CS3350B Computer Architecture

CS3350B Computer Architecture CS3350B Computer Architecture Winter 2015 Lecture 3.1: Memory Hierarchy: What and Why? Marc Moreno Maza www.csd.uwo.ca/courses/cs3350b [Adapted from lectures on Computer Organization and Design, Patterson

More information

Lecture 11 Reducing Cache Misses. Computer Architectures S

Lecture 11 Reducing Cache Misses. Computer Architectures S Lecture 11 Reducing Cache Misses Computer Architectures 521480S Reducing Misses Classifying Misses: 3 Cs Compulsory The first access to a block is not in the cache, so the block must be brought into the

More information

Chapter 5. Large and Fast: Exploiting Memory Hierarchy

Chapter 5. Large and Fast: Exploiting Memory Hierarchy Chapter 5 Large and Fast: Exploiting Memory Hierarchy Processor-Memory Performance Gap 10000 µproc 55%/year (2X/1.5yr) Performance 1000 100 10 1 1980 1983 1986 1989 Moore s Law Processor-Memory Performance

More information

Speicherarchitektur. Who Cares About the Memory Hierarchy? Technologie-Trends. Speicher-Hierarchie. Referenz-Lokalität. Caches

Speicherarchitektur. Who Cares About the Memory Hierarchy? Technologie-Trends. Speicher-Hierarchie. Referenz-Lokalität. Caches 11 Speicherarchitektur Speicher-Hierarchie Referenz-Lokalität Caches 1 Technologie-Trends Kapazitäts- Geschwindigkeitssteigerung Logik 2 fach in 3 Jahren 2 fach in 3 Jahren DRAM 4 fach in 3 Jahren 1.4

More information

Memory Hierarchy and Caches

Memory Hierarchy and Caches Memory Hierarchy and Caches COE 301 / ICS 233 Computer Organization Dr. Muhamed Mudawar College of Computer Sciences and Engineering King Fahd University of Petroleum and Minerals Presentation Outline

More information

Chapter Seven. SRAM: value is stored on a pair of inverting gates very fast but takes up more space than DRAM (4 to 6 transistors)

Chapter Seven. SRAM: value is stored on a pair of inverting gates very fast but takes up more space than DRAM (4 to 6 transistors) Chapter Seven emories: Review SRA: value is stored on a pair of inverting gates very fast but takes up more space than DRA (4 to transistors) DRA: value is stored as a charge on capacitor (must be refreshed)

More information

Introduction to OpenMP. Lecture 10: Caches

Introduction to OpenMP. Lecture 10: Caches Introduction to OpenMP Lecture 10: Caches Overview Why caches are needed How caches work Cache design and performance. The memory speed gap Moore s Law: processors speed doubles every 18 months. True for

More information

Chapter 5. Large and Fast: Exploiting Memory Hierarchy

Chapter 5. Large and Fast: Exploiting Memory Hierarchy Chapter 5 Large and Fast: Exploiting Memory Hierarchy Processor-Memory Performance Gap 10000 µproc 55%/year (2X/1.5yr) Performance 1000 100 10 1 1980 1983 1986 1989 Moore s Law Processor-Memory Performance

More information

Course Administration

Course Administration Spring 207 EE 363: Computer Organization Chapter 5: Large and Fast: Exploiting Memory Hierarchy - Avinash Kodi Department of Electrical Engineering & Computer Science Ohio University, Athens, Ohio 4570

More information

Memory Hierarchy. Slides contents from:

Memory Hierarchy. Slides contents from: Memory Hierarchy Slides contents from: Hennessy & Patterson, 5ed Appendix B and Chapter 2 David Wentzlaff, ELE 475 Computer Architecture MJT, High Performance Computing, NPTEL Memory Performance Gap Memory

More information

EE 4683/5683: COMPUTER ARCHITECTURE

EE 4683/5683: COMPUTER ARCHITECTURE EE 4683/5683: COMPUTER ARCHITECTURE Lecture 6A: Cache Design Avinash Kodi, kodi@ohioedu Agenda 2 Review: Memory Hierarchy Review: Cache Organization Direct-mapped Set- Associative Fully-Associative 1 Major

More information

Review: Performance Latency vs. Throughput. Time (seconds/program) is performance measure Instructions Clock cycles Seconds.

Review: Performance Latency vs. Throughput. Time (seconds/program) is performance measure Instructions Clock cycles Seconds. Performance 980 98 982 983 984 985 986 987 988 989 990 99 992 993 994 995 996 997 998 999 2000 7/4/20 CS 6C: Great Ideas in Computer Architecture (Machine Structures) Caches Instructor: Michael Greenbaum

More information

Memory Cache. Memory Locality. Cache Organization -- Overview L1 Data Cache

Memory Cache. Memory Locality. Cache Organization -- Overview L1 Data Cache Memory Cache Memory Locality cpu cache memory Memory hierarchies take advantage of memory locality. Memory locality is the principle that future memory accesses are near past accesses. Memory hierarchies

More information

Lecture 12. Memory Design & Caches, part 2. Christos Kozyrakis Stanford University

Lecture 12. Memory Design & Caches, part 2. Christos Kozyrakis Stanford University Lecture 12 Memory Design & Caches, part 2 Christos Kozyrakis Stanford University http://eeclass.stanford.edu/ee108b 1 Announcements HW3 is due today PA2 is available on-line today Part 1 is due on 2/27

More information

COSC 6385 Computer Architecture - Memory Hierarchies (I)

COSC 6385 Computer Architecture - Memory Hierarchies (I) COSC 6385 Computer Architecture - Memory Hierarchies (I) Edgar Gabriel Spring 2018 Some slides are based on a lecture by David Culler, University of California, Berkley http//www.eecs.berkeley.edu/~culler/courses/cs252-s05

More information

Memory Hierarchy. Slides contents from:

Memory Hierarchy. Slides contents from: Memory Hierarchy Slides contents from: Hennessy & Patterson, 5ed Appendix B and Chapter 2 David Wentzlaff, ELE 475 Computer Architecture MJT, High Performance Computing, NPTEL Memory Performance Gap Memory

More information

Computer Organization and Structure. Bing-Yu Chen National Taiwan University

Computer Organization and Structure. Bing-Yu Chen National Taiwan University Computer Organization and Structure Bing-Yu Chen National Taiwan University Large and Fast: Exploiting Memory Hierarchy The Basic of Caches Measuring & Improving Cache Performance Virtual Memory A Common

More information

EECS151/251A Spring 2018 Digital Design and Integrated Circuits. Instructors: John Wawrzynek and Nick Weaver. Lecture 19: Caches EE141

EECS151/251A Spring 2018 Digital Design and Integrated Circuits. Instructors: John Wawrzynek and Nick Weaver. Lecture 19: Caches EE141 EECS151/251A Spring 2018 Digital Design and Integrated Circuits Instructors: John Wawrzynek and Nick Weaver Lecture 19: Caches Cache Introduction 40% of this ARM CPU is devoted to SRAM cache. But the role

More information

CPE 631 Lecture 04: CPU Caches

CPE 631 Lecture 04: CPU Caches Lecture 04 CPU Caches Electrical and Computer Engineering University of Alabama in Huntsville Outline Memory Hierarchy Four Questions for Memory Hierarchy Cache Performance 26/01/2004 UAH- 2 1 Processor-DR

More information

Memory Hierarchy. ENG3380 Computer Organization and Architecture Cache Memory Part II. Topics. References. Memory Hierarchy

Memory Hierarchy. ENG3380 Computer Organization and Architecture Cache Memory Part II. Topics. References. Memory Hierarchy ENG338 Computer Organization and Architecture Part II Winter 217 S. Areibi School of Engineering University of Guelph Hierarchy Topics Hierarchy Locality Motivation Principles Elements of Design: Addresses

More information

Cray XE6 Performance Workshop

Cray XE6 Performance Workshop Cray XE6 Performance Workshop Mark Bull David Henty EPCC, University of Edinburgh Overview Why caches are needed How caches work Cache design and performance. 2 1 The memory speed gap Moore s Law: processors

More information

CS356: Discussion #9 Memory Hierarchy and Caches. Marco Paolieri Illustrations from CS:APP3e textbook

CS356: Discussion #9 Memory Hierarchy and Caches. Marco Paolieri Illustrations from CS:APP3e textbook CS356: Discussion #9 Memory Hierarchy and Caches Marco Paolieri (paolieri@usc.edu) Illustrations from CS:APP3e textbook The Memory Hierarchy So far... We modeled the memory system as an abstract array

More information

3Introduction. Memory Hierarchy. Chapter 2. Memory Hierarchy Design. Computer Architecture A Quantitative Approach, Fifth Edition

3Introduction. Memory Hierarchy. Chapter 2. Memory Hierarchy Design. Computer Architecture A Quantitative Approach, Fifth Edition Computer Architecture A Quantitative Approach, Fifth Edition Chapter 2 Memory Hierarchy Design 1 Introduction Programmers want unlimited amounts of memory with low latency Fast memory technology is more

More information

CS 61C: Great Ideas in Computer Architecture. The Memory Hierarchy, Fully Associative Caches

CS 61C: Great Ideas in Computer Architecture. The Memory Hierarchy, Fully Associative Caches CS 61C: Great Ideas in Computer Architecture The Memory Hierarchy, Fully Associative Caches Instructor: Alan Christopher 7/09/2014 Summer 2014 -- Lecture #10 1 Review of Last Lecture Floating point (single

More information

Improving Cache Performance. Reducing Misses. How To Reduce Misses? 3Cs Absolute Miss Rate. 1. Reduce the miss rate, Classifying Misses: 3 Cs

Improving Cache Performance. Reducing Misses. How To Reduce Misses? 3Cs Absolute Miss Rate. 1. Reduce the miss rate, Classifying Misses: 3 Cs Improving Cache Performance 1. Reduce the miss rate, 2. Reduce the miss penalty, or 3. Reduce the time to hit in the. Reducing Misses Classifying Misses: 3 Cs! Compulsory The first access to a block is

More information

Donn Morrison Department of Computer Science. TDT4255 Memory hierarchies

Donn Morrison Department of Computer Science. TDT4255 Memory hierarchies TDT4255 Lecture 10: Memory hierarchies Donn Morrison Department of Computer Science 2 Outline Chapter 5 - Memory hierarchies (5.1-5.5) Temporal and spacial locality Hits and misses Direct-mapped, set associative,

More information

14:332:331. Week 13 Basics of Cache

14:332:331. Week 13 Basics of Cache 14:332:331 Computer Architecture and Assembly Language Spring 2006 Week 13 Basics of Cache [Adapted from Dave Patterson s UCB CS152 slides and Mary Jane Irwin s PSU CSE331 slides] 331 Week131 Spring 2006

More information

Memory Hierarchy: Caches, Virtual Memory

Memory Hierarchy: Caches, Virtual Memory Memory Hierarchy: Caches, Virtual Memory Readings: 5.1-5.4, 5.8 Big memories are slow Computer Fast memories are small Processor Memory Devices Control Input Datapath Output Need to get fast, big memories

More information

Chapter 5 Memory Hierarchy Design. In-Cheol Park Dept. of EE, KAIST

Chapter 5 Memory Hierarchy Design. In-Cheol Park Dept. of EE, KAIST Chapter 5 Memory Hierarchy Design In-Cheol Park Dept. of EE, KAIST Why cache? Microprocessor performance increment: 55% per year Memory performance increment: 7% per year Principles of locality Spatial

More information

Chapter 5 Large and Fast: Exploiting Memory Hierarchy (Part 1)

Chapter 5 Large and Fast: Exploiting Memory Hierarchy (Part 1) Department of Electr rical Eng ineering, Chapter 5 Large and Fast: Exploiting Memory Hierarchy (Part 1) 王振傑 (Chen-Chieh Wang) ccwang@mail.ee.ncku.edu.tw ncku edu Depar rtment of Electr rical Engineering,

More information

Improving Cache Performance. Dr. Yitzhak Birk Electrical Engineering Department, Technion

Improving Cache Performance. Dr. Yitzhak Birk Electrical Engineering Department, Technion Improving Cache Performance Dr. Yitzhak Birk Electrical Engineering Department, Technion 1 Cache Performance CPU time = (CPU execution clock cycles + Memory stall clock cycles) x clock cycle time Memory

More information

CSF Improving Cache Performance. [Adapted from Computer Organization and Design, Patterson & Hennessy, 2005]

CSF Improving Cache Performance. [Adapted from Computer Organization and Design, Patterson & Hennessy, 2005] CSF Improving Cache Performance [Adapted from Computer Organization and Design, Patterson & Hennessy, 2005] Review: The Memory Hierarchy Take advantage of the principle of locality to present the user

More information

Lecture 11. Virtual Memory Review: Memory Hierarchy

Lecture 11. Virtual Memory Review: Memory Hierarchy Lecture 11 Virtual Memory Review: Memory Hierarchy 1 Administration Homework 4 -Due 12/21 HW 4 Use your favorite language to write a cache simulator. Input: address trace, cache size, block size, associativity

More information

14:332:331. Week 13 Basics of Cache

14:332:331. Week 13 Basics of Cache 14:332:331 Computer Architecture and Assembly Language Fall 2003 Week 13 Basics of Cache [Adapted from Dave Patterson s UCB CS152 slides and Mary Jane Irwin s PSU CSE331 slides] 331 Lec20.1 Fall 2003 Head

More information

Chapter 5. Large and Fast: Exploiting Memory Hierarchy

Chapter 5. Large and Fast: Exploiting Memory Hierarchy Chapter 5 Large and Fast: Exploiting Memory Hierarchy Principle of Locality Programs access a small proportion of their address space at any time Temporal locality Items accessed recently are likely to

More information

Locality. Cache. Direct Mapped Cache. Direct Mapped Cache

Locality. Cache. Direct Mapped Cache. Direct Mapped Cache Locality A principle that makes having a memory hierarchy a good idea If an item is referenced, temporal locality: it will tend to be referenced again soon spatial locality: nearby items will tend to be

More information

Cache Memory: Instruction Cache, HW/SW Interaction. Admin

Cache Memory: Instruction Cache, HW/SW Interaction. Admin Cache Memory Instruction Cache, HW/SW Interaction Computer Science 104 Admin Project Due Dec 7 Homework #5 Due November 19, in class What s Ahead Finish Caches Virtual Memory Input/Output (1 homework)

More information

CSCI-UA.0201 Computer Systems Organization Memory Hierarchy

CSCI-UA.0201 Computer Systems Organization Memory Hierarchy CSCI-UA.0201 Computer Systems Organization Memory Hierarchy Mohamed Zahran (aka Z) mzahran@cs.nyu.edu http://www.mzahran.com Programmer s Wish List Memory Private Infinitely large Infinitely fast Non-volatile

More information

CHAPTER 4 MEMORY HIERARCHIES TYPICAL MEMORY HIERARCHY TYPICAL MEMORY HIERARCHY: THE PYRAMID CACHE PERFORMANCE MEMORY HIERARCHIES CACHE DESIGN

CHAPTER 4 MEMORY HIERARCHIES TYPICAL MEMORY HIERARCHY TYPICAL MEMORY HIERARCHY: THE PYRAMID CACHE PERFORMANCE MEMORY HIERARCHIES CACHE DESIGN CHAPTER 4 TYPICAL MEMORY HIERARCHY MEMORY HIERARCHIES MEMORY HIERARCHIES CACHE DESIGN TECHNIQUES TO IMPROVE CACHE PERFORMANCE VIRTUAL MEMORY SUPPORT PRINCIPLE OF LOCALITY: A PROGRAM ACCESSES A RELATIVELY

More information

CMPSC 311- Introduction to Systems Programming Module: Caching

CMPSC 311- Introduction to Systems Programming Module: Caching CMPSC 311- Introduction to Systems Programming Module: Caching Professor Patrick McDaniel Fall 2016 Reminder: Memory Hierarchy L0: Registers CPU registers hold words retrieved from L1 cache Smaller, faster,

More information

Locality. CS429: Computer Organization and Architecture. Locality Example 2. Locality Example

Locality. CS429: Computer Organization and Architecture. Locality Example 2. Locality Example Locality CS429: Computer Organization and Architecture Dr Bill Young Department of Computer Sciences University of Texas at Austin Principle of Locality: Programs tend to reuse data and instructions near

More information

Memory. Lecture 22 CS301

Memory. Lecture 22 CS301 Memory Lecture 22 CS301 Administrative Daily Review of today s lecture w Due tomorrow (11/13) at 8am HW #8 due today at 5pm Program #2 due Friday, 11/16 at 11:59pm Test #2 Wednesday Pipelined Machine Fetch

More information

Chapter 5. Memory Technology

Chapter 5. Memory Technology Chapter 5 Large and Fast: Exploiting Memory Hierarchy Memory Technology Static RAM (SRAM) 0.5ns 2.5ns, $2000 $5000 per GB Dynamic RAM (DRAM) 50ns 70ns, $20 $75 per GB Magnetic disk 5ms 20ms, $0.20 $2 per

More information

DECstation 5000 Miss Rates. Cache Performance Measures. Example. Cache Performance Improvements. Types of Cache Misses. Cache Performance Equations

DECstation 5000 Miss Rates. Cache Performance Measures. Example. Cache Performance Improvements. Types of Cache Misses. Cache Performance Equations DECstation 5 Miss Rates Cache Performance Measures % 3 5 5 5 KB KB KB 8 KB 6 KB 3 KB KB 8 KB Cache size Direct-mapped cache with 3-byte blocks Percentage of instruction references is 75% Instr. Cache Data

More information

The Memory Hierarchy & Cache

The Memory Hierarchy & Cache Removing The Ideal Memory Assumption: The Memory Hierarchy & Cache The impact of real memory on CPU Performance. Main memory basic properties: Memory Types: DRAM vs. SRAM The Motivation for The Memory

More information

Page 1. Memory Hierarchies (Part 2)

Page 1. Memory Hierarchies (Part 2) Memory Hierarchies (Part ) Outline of Lectures on Memory Systems Memory Hierarchies Cache Memory 3 Virtual Memory 4 The future Increasing distance from the processor in access time Review: The Memory Hierarchy

More information

CENG 3420 Computer Organization and Design. Lecture 08: Cache Review. Bei Yu

CENG 3420 Computer Organization and Design. Lecture 08: Cache Review. Bei Yu CENG 3420 Computer Organization and Design Lecture 08: Cache Review Bei Yu CEG3420 L08.1 Spring 2016 A Typical Memory Hierarchy q Take advantage of the principle of locality to present the user with as

More information

Modern Computer Architecture

Modern Computer Architecture Modern Computer Architecture Lecture3 Review of Memory Hierarchy Hongbin Sun 国家集成电路人才培养基地 Xi an Jiaotong University Performance 1000 Recap: Who Cares About the Memory Hierarchy? Processor-DRAM Memory Gap

More information

CS161 Design and Architecture of Computer Systems. Cache $$$$$

CS161 Design and Architecture of Computer Systems. Cache $$$$$ CS161 Design and Architecture of Computer Systems Cache $$$$$ Memory Systems! How can we supply the CPU with enough data to keep it busy?! We will focus on memory issues,! which are frequently bottlenecks

More information

UNIVERSITY OF MASSACHUSETTS Dept. of Electrical & Computer Engineering. Computer Architecture ECE 568/668

UNIVERSITY OF MASSACHUSETTS Dept. of Electrical & Computer Engineering. Computer Architecture ECE 568/668 UNIVERSITY OF MASSACHUSETTS Dept. of Electrical & Computer Engineering Computer Architecture ECE 568/668 Part 11 Memory Hierarchy - I Israel Koren ECE568/Koren Part.11.1 ECE568/Koren Part.11.2 Ideal Memory

More information

Chapter 5. Large and Fast: Exploiting Memory Hierarchy

Chapter 5. Large and Fast: Exploiting Memory Hierarchy Chapter 5 Large and Fast: Exploiting Memory Hierarchy Memory Technology Static RAM (SRAM) 0.5ns 2.5ns, $2000 $5000 per GB Dynamic RAM (DRAM) 50ns 70ns, $20 $75 per GB Magnetic disk 5ms 20ms, $0.20 $2 per

More information

Memory Hierarchy, Fully Associative Caches. Instructor: Nick Riasanovsky

Memory Hierarchy, Fully Associative Caches. Instructor: Nick Riasanovsky Memory Hierarchy, Fully Associative Caches Instructor: Nick Riasanovsky Review Hazards reduce effectiveness of pipelining Cause stalls/bubbles Structural Hazards Conflict in use of datapath component Data

More information

Announcement. Computer Architecture (CSC-3501) Lecture 20 (08 April 2008) Chapter 6 Objectives. 6.1 Introduction. 6.

Announcement. Computer Architecture (CSC-3501) Lecture 20 (08 April 2008) Chapter 6 Objectives. 6.1 Introduction. 6. Announcement Computer Architecture (CSC-350) Lecture 0 (08 April 008) Seung-Jong Park (Jay) http://www.csc.lsu.edu/~sjpark Chapter 6 Objectives 6. Introduction Master the concepts of hierarchical memory

More information

Computer Architecture and System Software Lecture 09: Memory Hierarchy. Instructor: Rob Bergen Applied Computer Science University of Winnipeg

Computer Architecture and System Software Lecture 09: Memory Hierarchy. Instructor: Rob Bergen Applied Computer Science University of Winnipeg Computer Architecture and System Software Lecture 09: Memory Hierarchy Instructor: Rob Bergen Applied Computer Science University of Winnipeg Announcements Midterm returned + solutions in class today SSD

More information

CS61C : Machine Structures

CS61C : Machine Structures inst.eecs.berkeley.edu/~cs61c/su05 CS61C : Machine Structures Lecture #21: Caches 3 2005-07-27 CS61C L22 Caches III (1) Andy Carle Review: Why We Use Caches 1000 Performance 100 10 1 1980 1981 1982 1983

More information

Memory Hierarchy 3 Cs and 6 Ways to Reduce Misses

Memory Hierarchy 3 Cs and 6 Ways to Reduce Misses Memory Hierarchy 3 Cs and 6 Ways to Reduce Misses Soner Onder Michigan Technological University Randy Katz & David A. Patterson University of California, Berkeley Four Questions for Memory Hierarchy Designers

More information

CMPSC 311- Introduction to Systems Programming Module: Caching

CMPSC 311- Introduction to Systems Programming Module: Caching CMPSC 311- Introduction to Systems Programming Module: Caching Professor Patrick McDaniel Fall 2014 Lecture notes Get caching information form other lecture http://hssl.cs.jhu.edu/~randal/419/lectures/l8.5.caching.pdf

More information

www-inst.eecs.berkeley.edu/~cs61c/

www-inst.eecs.berkeley.edu/~cs61c/ CS61C Machine Structures Lecture 34 - Caches II 11/16/2007 John Wawrzynek (www.cs.berkeley.edu/~johnw) www-inst.eecs.berkeley.edu/~cs61c/ 1 What to do on a write hit? Two Options: Write-through update

More information

Cache performance Outline

Cache performance Outline Cache performance 1 Outline Metrics Performance characterization Cache optimization techniques 2 Page 1 Cache Performance metrics (1) Miss rate: Neglects cycle time implications Average memory access time

More information

Caches. Han Wang CS 3410, Spring 2012 Computer Science Cornell University. See P&H 5.1, 5.2 (except writes)

Caches. Han Wang CS 3410, Spring 2012 Computer Science Cornell University. See P&H 5.1, 5.2 (except writes) Caches Han Wang CS 3410, Spring 2012 Computer Science Cornell University See P&H 5.1, 5.2 (except writes) This week: Announcements PA2 Work-in-progress submission Next six weeks: Two labs and two projects

More information

CMPT 300 Introduction to Operating Systems

CMPT 300 Introduction to Operating Systems CMPT 300 Introduction to Operating Systems Cache 0 Acknowledgement: some slides are taken from CS61C course material at UC Berkeley Agenda Memory Hierarchy Direct Mapped Caches Cache Performance Set Associative

More information

Caches. Hiding Memory Access Times

Caches. Hiding Memory Access Times Caches Hiding Memory Access Times PC Instruction Memory 4 M U X Registers Sign Ext M U X Sh L 2 Data Memory M U X C O N T R O L ALU CTL INSTRUCTION FETCH INSTR DECODE REG FETCH EXECUTE/ ADDRESS CALC MEMORY

More information

Caches Part 1. Instructor: Sören Schwertfeger. School of Information Science and Technology SIST

Caches Part 1. Instructor: Sören Schwertfeger.   School of Information Science and Technology SIST CS 110 Computer Architecture Caches Part 1 Instructor: Sören Schwertfeger http://shtech.org/courses/ca/ School of Information Science and Technology SIST ShanghaiTech University Slides based on UC Berkley's

More information

EEC 170 Computer Architecture Fall Improving Cache Performance. Administrative. Review: The Memory Hierarchy. Review: Principle of Locality

EEC 170 Computer Architecture Fall Improving Cache Performance. Administrative. Review: The Memory Hierarchy. Review: Principle of Locality Administrative EEC 7 Computer Architecture Fall 5 Improving Cache Performance Problem #6 is posted Last set of homework You should be able to answer each of them in -5 min Quiz on Wednesday (/7) Chapter

More information

CPU issues address (and data for write) Memory returns data (or acknowledgment for write)

CPU issues address (and data for write) Memory returns data (or acknowledgment for write) The Main Memory Unit CPU and memory unit interface Address Data Control CPU Memory CPU issues address (and data for write) Memory returns data (or acknowledgment for write) Memories: Design Objectives

More information

Let!s go back to a course goal... Let!s go back to a course goal... Question? Lecture 22 Introduction to Memory Hierarchies

Let!s go back to a course goal... Let!s go back to a course goal... Question? Lecture 22 Introduction to Memory Hierarchies 1 Lecture 22 Introduction to Memory Hierarchies Let!s go back to a course goal... At the end of the semester, you should be able to......describe the fundamental components required in a single core of

More information

Memory systems. Memory technology. Memory technology Memory hierarchy Virtual memory

Memory systems. Memory technology. Memory technology Memory hierarchy Virtual memory Memory systems Memory technology Memory hierarchy Virtual memory Memory technology DRAM Dynamic Random Access Memory bits are represented by an electric charge in a small capacitor charge leaks away, need

More information

Memory Technology. Chapter 5. Principle of Locality. Chapter 5 Large and Fast: Exploiting Memory Hierarchy 1

Memory Technology. Chapter 5. Principle of Locality. Chapter 5 Large and Fast: Exploiting Memory Hierarchy 1 COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface Chapter 5 Large and Fast: Exploiting Memory Hierarchy 5 th Edition Memory Technology Static RAM (SRAM) 0.5ns 2.5ns, $2000 $5000 per GB Dynamic

More information

ECE468 Computer Organization and Architecture. Memory Hierarchy

ECE468 Computer Organization and Architecture. Memory Hierarchy ECE468 Computer Organization and Architecture Hierarchy ECE468 memory.1 The Big Picture: Where are We Now? The Five Classic Components of a Computer Processor Control Input Datapath Output Today s Topic:

More information

Memory Hierarchy: The motivation

Memory Hierarchy: The motivation Memory Hierarchy: The motivation The gap between CPU performance and main memory has been widening with higher performance CPUs creating performance bottlenecks for memory access instructions. The memory

More information

CS 152 Computer Architecture and Engineering. Lecture 7 - Memory Hierarchy-II

CS 152 Computer Architecture and Engineering. Lecture 7 - Memory Hierarchy-II CS 152 Computer Architecture and Engineering Lecture 7 - Memory Hierarchy-II Krste Asanovic Electrical Engineering and Computer Sciences University of California at Berkeley http://www.eecs.berkeley.edu/~krste!

More information

UCB CS61C : Machine Structures

UCB CS61C : Machine Structures inst.eecs.berkeley.edu/~cs61c UCB CS61C : Machine Structures Lecture 32 Caches III 2008-04-16 Lecturer SOE Dan Garcia Hi to Chin Han from U Penn! Prem Kumar of Northwestern has created a quantum inverter

More information

EEC 483 Computer Organization

EEC 483 Computer Organization EEC 48 Computer Organization 5. The Basics of Cache Chansu Yu Caches: The Basic Idea A smaller set of storage locations storing a subset of information from a larger set (memory) Unlike registers or memory,

More information

Topics. Computer Organization CS Improving Performance. Opportunity for (Easy) Points. Three Generic Data Hazards

Topics. Computer Organization CS Improving Performance. Opportunity for (Easy) Points. Three Generic Data Hazards Computer Organization CS 231-01 Improving Performance Dr. William H. Robinson November 8, 2004 Topics Money's only important when you don't have any. Sting Cache Scoreboarding http://eecs.vanderbilt.edu/courses/cs231/

More information

Assignment 1 due Mon (Feb 4pm

Assignment 1 due Mon (Feb 4pm Announcements Assignment 1 due Mon (Feb 19) @ 4pm Next week: no classes Inf3 Computer Architecture - 2017-2018 1 The Memory Gap 1.2x-1.5x 1.07x H&P 5/e, Fig. 2.2 Memory subsystem design increasingly important!

More information

Computer Architecture. Memory Hierarchy. Lynn Choi Korea University

Computer Architecture. Memory Hierarchy. Lynn Choi Korea University Computer Architecture Memory Hierarchy Lynn Choi Korea University Memory Hierarchy Motivated by Principles of Locality Speed vs. Size vs. Cost tradeoff Locality principle Temporal Locality: reference to

More information

The Memory Hierarchy & Cache The impact of real memory on CPU Performance. Main memory basic properties: Memory Types: DRAM vs.

The Memory Hierarchy & Cache The impact of real memory on CPU Performance. Main memory basic properties: Memory Types: DRAM vs. The Hierarchical Memory System The Memory Hierarchy & Cache The impact of real memory on CPU Performance. Main memory basic properties: Memory Types: DRAM vs. SRAM The Motivation for The Memory Hierarchy:

More information

CS 152 Computer Architecture and Engineering. Lecture 7 - Memory Hierarchy-II

CS 152 Computer Architecture and Engineering. Lecture 7 - Memory Hierarchy-II CS 152 Computer Architecture and Engineering Lecture 7 - Memory Hierarchy-II Krste Asanovic Electrical Engineering and Computer Sciences University of California at Berkeley http://www.eecs.berkeley.edu/~krste

More information

COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. 5 th. Edition. Chapter 5. Large and Fast: Exploiting Memory Hierarchy

COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. 5 th. Edition. Chapter 5. Large and Fast: Exploiting Memory Hierarchy COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface 5 th Edition Chapter 5 Large and Fast: Exploiting Memory Hierarchy Principle of Locality Programs access a small proportion of their address

More information