Improving Memory Access The Cache and Virtual Memory

Size: px
Start display at page:

Download "Improving Memory Access The Cache and Virtual Memory"

Transcription

1 EECS 322 Computer Architecture Improving Memory Access The Cache and Virtual Memory Instructor: Francis G. Wolff Case Western Reserve University This presentation uses powerpoint animation: please viewshow

2 Cache associativity Figure 7.5 Direct mapped Set associative Fully associative Block # Set # Data Data Data Tag 2 Tag 2 Tag 2 Search Search Search Direct-mapped cache (a.k.a. -way set associative cache) 2-way set associative cache Fully associative cache

3 Cache architectures Figure 7.6 Two-way set associative Set Tag Data Tag Data Four-way set associative Set 0 Tag Data Tag Data Tag Data Tag Data One-way set associative (direct mapped) Block Tag Data Eight-way set associative (fully associative) Tag Data Tag Data Tag Data Tag Data Tag Data Tag Data Tag Data T ag Data

4 Direct Mapped Cache: Example Page 57 Tag Index Byte offset Byte address lw $, ($0) lw $2, ($0) lw $3, ($0) lw $4, ($0) lw $5, ($0) Miss: valid Miss: tag Miss: tag Miss: valid Miss: tag 5/5 Misses lw $,0($0) lw $2,32($0) lw $3,0($0) lw $4,24($0) lw $5,32($0) Index Valid Tag Data 00 N Y Memory[000 Memory[00 Memory[ Memory[ ] 0 N 0 NY 00 Memory[ ] N

5 2-Way Set Associative Cache: Example Page 57 Tag Index Byte offset Byte address lw $, ($0) lw $2, ($0) lw $3, ($0) lw $4, ($0) lw $5, ($0) Miss: valid Miss: tag Hit! Miss: tag Miss: tag 4/5 Misses lw $,0($0) lw $2,32($0) lw $3,0($0) lw $4,24($0) lw $5,32($0) Index Valid Tag Data 0 N Y N Y Memory[0000 Memory[ ] 00] Memory[000 Memory[ ] N N

6 Fully Associative Cache: Example Page 57 Tag Index Byte offset Byte address lw $, ($0) lw $2, ($0) lw $3, ($0) lw $4, ($0) lw $5, ($0) Miss: valid Miss Hit! Miss Hit! 3/5 Misses lw $,0($0) lw $2,32($0) lw $3,0($0) lw $4,24($0) lw $5,32($0) Valid Tag Data NY Memory[ ] NY 0000 Memory[ ] NY 000 Memory[000 00] N

7 Cache comparisons: page 57 Example Example (page 57): 5 loads lw $,0($0) lw $2,32($0) lw $3,0($0) lw $4,24($0) lw $5,32($0) Cache architecture misses Direct Mapped 5 out of 5 2-Way Set associative 4 out of 5 Fully associative 3 out of 5 Chip Area Memory access time Decreasing the number of misses, speeds up the access time

8 Bits in 64 KB Data Cache Summary Page 570 Cache Type Index Size Tag Size Set Size Overhead Miss Rate Temporial Direct Mapped % 5.4% Spatial Direct Mapped %.9% 2 - Way Set Associative 7 3.2%.5% 4 - Way Set Associative %.5% Fully Associative %

9 Decreasing miss penalty with multilevel caches Page 576 The effective CPI with only L to M cache Total CPI = Base CPI + (Memory Stall cycles per Instruction) =.0 + 5% 00ns = 6.0 The effective CPI with L and L2 caches Total CPI = Base CPI + (L to L2 penalty) + (L2 to M penalty) =.0 + (5% 0ns) + (2% 00ns) = CPU Speedup = =.7 3.5

10 Direct Mapping Cache addresses Cache Index = (Block Address) %(Cache Size) Cache Index Byte address = Data Bytes per cache block %(Cache Size) Block address= Data Byte address Bytes per cache block Cache Size in Blocks = Cache Size in Bytes Bytes per Cache Block

11 N-Way Set-Associative Mapping Cache addresses An N-way set associative cache consists of a number of sets, where each set consists on N blocks Cache Index = Set # = (Block Address) %(Cache Size) Cache Index = Data Byte address Bytes per cache block %(Cache Size) Block address= Data Byte address Bytes per cache block Cache Size in N way Sets = N Cache Size in Bytes DataBytes per Cache Block

12 Direct Mapped Cache Suppose we have the have the following byte addresses: 0, 32, 0, 24, 32 Given a direct mapped cache consisting of 6 data bytes where Data bytes per cache block = 4 where Cache size = 6 bytes/(4 bytes per block) = 4 The cache block addresses are: 0, 8, 0, 6, 8 The cache index addresses are: 0, 0, 0, 2, 0 For example, 24, Block address =floor(byte address / data bytes per block) = floor(24/4)=6 Cache Index = 6 % Cache size = 6 % 4 = 2

13 2-Way Set associative cache Again, suppose we have the have the following byte addresses: 0, 32, 0, 24, 32 Given a 2-way set associative cache of 6 data bytes where Data bytes per cache block = 4 where Cache size = 6 bytes/(2 4 bytes per block) = 2 The 2-way cache block addresses are: 0, 8, 0, 6, 8 The 2-way cache index addresses are: 0, 0, 0, 0, 0 Note: Direct cache index addresses were: 0, 0, 0, 0, 0, 0, 2, 2, 0 For example, 24, Block address =floor(byte address / data bytes per block) = floor(24/4) = 6 Cache Index = 6 % Cache size = 6 % 2 = 0

14 Fully associative cache Again, suppose we have the have the following byte addresses: 0, 32, 0, 24, 32 Given a 2-way set associative cache of 6 data bytes where Data bytes per cache block = 4 where Cache size = 6 bytes/(4 bytes per block) = 4 The fully cache block addresses are: None! The 2-way cache index addresses are: NONE!

15 Bits in a Temporal Direct Mapped Cache Page 550 How many total are required for a cache with 64KB (= 2 6 KiloBytes) of data and one word (=4 bytes =32 bit) blocks assuming a 32 bit byte memory address? Cache index width = log 2 words = log /4 = log words = 4 Block address width = <byte address width> log 2 word = 32 2 = 30 Tag size = <block address width> <cache index width> = 30 4 = 6 Cache block size = <valid size>+<tag size>+<block data size> = bit = 49 Total size = <Cache word size> <Cache block size> = 2 4 words 49 = = 784 K = 98 KB = 98 KB/64 KB =.5 times overhead

16 Bits in a Spatial Direct Mapped Cache Page 570 How many total are required for a cache with 64KB (= 2 6 KiloBytes) of data and 4 - one word (=4*4=6 bytes =4*32=28 ) blocks assuming a 32 bit byte memory address? Cache index width = log 2 words = log /6 = log words = 2 Block address width = <byte address width> log 2 blocksize = 32 4 = 28 Tag size = <block address width> <cache index width> = 28 2 = 6 Cache block size = <valid size>+<tag size>+<block data size> = bit = 45 Total size = <Cache word size> <Cache block size> = 2 2 words 45 = / (024*8) = 72.5 Kbyte = 72.5 KB/64 KB =.3 times overhead

17 Bits in a 2-Way Set Associative Cache Page 570 How many total are required for a cache with 64KB (= 2 6 KiloBytes) of data and 4 - one word (=4*4=6 bytes =4*32=28 ) blocks assuming a 32 bit byte memory address? Cache index width = log 2 words = log /(2 6) = log 2 2 words = Block address width = <byte address width> log 2 blocksize = 32 4 = 28 (same!) Tag size = <block address width> <cache index width> = 28 = 7 Cache Set size = <valid size>+<tag size>+<block data size> = bit + 2 ( ) = 3 Total size = <Cache word size> <Cache block size> = 2 words 3 = / (024*8) = Kbyte = 72.5 KB/64 KB =.2 times overhead

18 Bits in a 4-Way Set Associative Cache Page 570 How many total are required for a cache with 64KB (= 2 6 KiloBytes) of data and 4 - one word (=4*4=6 bytes =4*32=28 ) blocks assuming a 32 bit byte memory address? Cache index width = log 2 words = log /(4 6) = log words = 0 Block address width = <byte address width> log 2 blocksize = 32 4 = 28 (same!) Tag size = <block address width> <cache index width> = 28 0 = 8 Cache Set size = <valid size>+<tag size>+<block data size> = bit + 4 ( ) = 585 Total size = <Cache word size> <Cache block size> = 2 0 words 585 = / (024*8) = Kbyte = KB/64 KB =.4 times overhead

19 Bits in a Fully Associative Cache Page 570 How many total are required for a cache with 64KB (= 2 6 KiloBytes) of data and 4-one word (=4*4=6 bytes =4*32=28 ) blocks assuming a 32 bit byte memory address? Cache index width = 0 Block address width = <byte address width> log 2 blocksize = 32 4 = 28 (same!) Tag size = <block address width> <cache index width> = 28 0 = 28 Cache Set size = <valid size>+<tag size>+<block data size> = bit = 57 Total size = <Cache word size> <Cache block size> = 2 2 words 57 = / (024*8) = 78.5 Kbyte = 78.5 KB/64 KB =.23 times overhead

20 Virtual Memory Figure 7.20 Main memory can act as a cache for the secondary storage (disk) Advantages: illusion of having more physical memory program relocation Virtual addresses Physical addresses Address translation protection Disk addresses

21 Pages: virtual memory blocks Figure 7.2 Virtual address Virtual page number Page offset Translation Physical page number Page offset The The automatic transmission of of a car: car: Hardware/Software does the the shifting Physical address

22 Page Tables Figure 7.23 Virtual page number Valid Page table Physical page or disk address Physical memory Disk storage

23 Virtual Example: 32 Byte pages lw $2, ($0) lw $2, ($0) C-Miss C-Miss P-Fault P- P- Hit! lw $,32($0) lw $2,40($0) Index Valid Tag Data 0 N Y Memory[00000 Memory[ ] N Virtual Page Number Page offset Page Index Valid Physical Page number 0 N NY... N Memory Disk

24 Page Table Size Suppose we have 32 bit virtual address (=2 32 bytes) 4096 bytes per page (=2 2 bytes) 4 bytes per page table entry (=2 2 bytes) What is the total page table size? Number of pagetableentries = = 2 20 entries Sizeof pagetable = 2 20 entries 2 2 bytes = 2 22 bytes = 4MB 4 Megabytes just for page tables!! Too Big

25 Page Tables Figure 7.22 Page table register Virtual address Virtual page number Page offset 20 2 Valid Physical page num ber Page table If 0 th en p ag e is no t present in m emory Physical page num ber Page offset Phy sical address

26 Making Address Translation Fast A cache for address translations: translation lookaside buffer V irtual page number Valid Tag T L B Physical page address 0 Physical memory Page table Physical page Valid or disk address Disk storage

27 TLBs and caches Virtual address TLB access TLB miss exception No TLB hit? Yes Physical address No Write? Yes Cache miss stall No Try to read data from cache Cache hit? Yes No Write protection exception Write access bit on? Yes Write data into cache, update the tag, and put the data and the address into the write buffer Deliver data to the CPU

LECTURE 10: Improving Memory Access: Direct and Spatial caches

LECTURE 10: Improving Memory Access: Direct and Spatial caches EECS 318 CAD Computer Aided Design LECTURE 10: Improving Memory Access: Direct and Spatial caches Instructor: Francis G. Wolff wolff@eecs.cwru.edu Case Western Reserve University This presentation uses

More information

EECS 322 Computer Architecture Superpipline and the Cache

EECS 322 Computer Architecture Superpipline and the Cache EECS 322 Computer Architecture Superpipline and the Cache Instructor: Francis G. Wolff wolff@eecs.cwru.edu Case Western Reserve University This presentation uses powerpoint animation: please viewshow Summary:

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

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

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

1. Creates the illusion of an address space much larger than the physical memory

1. Creates the illusion of an address space much larger than the physical memory Virtual memory Main Memory Disk I P D L1 L2 M Goals Physical address space Virtual address space 1. Creates the illusion of an address space much larger than the physical memory 2. Make provisions for

More information

EECS 322 Computer Architecture Improving Memory Access: the Cache

EECS 322 Computer Architecture Improving Memory Access: the Cache EECS 322 Computer Architecture Improving emory Access: the Cache Instructor: Francis G. Wolff wolff@eecs.cwru.edu Case Western Reserve University This presentation uses powerpoint animation: please viewshow

More information

Alexandria University

Alexandria University Alexandria University Faculty of Engineering Division of Communications & Electronics CC322 Computer Architecture Sheet 3 1. A cache has the following parameters: b, block size given in numbers of words;

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

Pipelined processors and Hazards

Pipelined processors and Hazards Pipelined processors and Hazards Two options Processor HLL Compiler ALU LU Output Program Control unit 1. Either the control unit can be smart, i,e. it can delay instruction phases to avoid hazards. Processor

More information

Memory hierarchy review. ECE 154B Dmitri Strukov

Memory hierarchy review. ECE 154B Dmitri Strukov Memory hierarchy review ECE 154B Dmitri Strukov Outline Cache motivation Cache basics Six basic optimizations Virtual memory Cache performance Opteron example Processor-DRAM gap in latency Q1. How to deal

More information

ADDRESS TRANSLATION AND TLB

ADDRESS TRANSLATION AND TLB ADDRESS TRANSLATION AND TLB Mahdi Nazm Bojnordi Assistant Professor School of Computing University of Utah CS/ECE 6810: Computer Architecture Overview Announcement Homework 3 submission deadline: Nov.

More information

ADDRESS TRANSLATION AND TLB

ADDRESS TRANSLATION AND TLB ADDRESS TRANSLATION AND TLB Mahdi Nazm Bojnordi Assistant Professor School of Computing University of Utah CS/ECE 6810: Computer Architecture Overview Announcement Homework 4 submission deadline: Mar.

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

V. Primary & Secondary Memory!

V. Primary & Secondary Memory! V. Primary & Secondary Memory! Computer Architecture and Operating Systems & Operating Systems: 725G84 Ahmed Rezine 1 Memory Technology Static RAM (SRAM) 0.5ns 2.5ns, $2000 $5000 per GB Dynamic RAM (DRAM)

More information

CSE 141 Computer Architecture Spring Lectures 17 Virtual Memory. Announcements Office Hour

CSE 141 Computer Architecture Spring Lectures 17 Virtual Memory. Announcements Office Hour CSE 4 Computer Architecture Spring 25 Lectures 7 Virtual Memory Pramod V. Argade May 25, 25 Announcements Office Hour Monday, June 6th: 6:3-8 PM, AP&M 528 Instead of regular Monday office hour 5-6 PM Reading

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

CPSC 330 Computer Organization

CPSC 330 Computer Organization CPSC 33 Computer Organization Lecture 7c Memory Adapted from CS52, CS 6C and notes by Kevin Peterson and Morgan Kaufmann Publishers, Copyright 24. Improving cache performance Two ways of improving performance:

More information

The check bits are in bit numbers 8, 4, 2, and 1.

The check bits are in bit numbers 8, 4, 2, and 1. The University of Western Australia Department of Electrical and Electronic Engineering Computer Architecture 219 (Tutorial 8) 1. [Stallings 2000] Suppose an 8-bit data word is stored in memory is 11000010.

More information

The levels of a memory hierarchy. Main. Memory. 500 By 1MB 4GB 500GB 0.25 ns 1ns 20ns 5ms

The levels of a memory hierarchy. Main. Memory. 500 By 1MB 4GB 500GB 0.25 ns 1ns 20ns 5ms The levels of a memory hierarchy CPU registers C A C H E Memory bus Main Memory I/O bus External memory 500 By 1MB 4GB 500GB 0.25 ns 1ns 20ns 5ms 1 1 Some useful definitions When the CPU finds a requested

More information

ELE 375 Final Exam Fall, 2000 Prof. Martonosi

ELE 375 Final Exam Fall, 2000 Prof. Martonosi ELE 375 Final Exam Fall, 2000 Prof. Martonosi Question Score 1 /10 2 /20 3 /15 4 /15 5 /10 6 /20 7 /20 8 /25 9 /30 10 /30 11 /30 12 /15 13 /10 Total / 250 Please write your answers clearly in the space

More information

Basic Memory Hierarchy Principles. Appendix C (Not all will be covered by the lecture; studying the textbook is recommended!)

Basic Memory Hierarchy Principles. Appendix C (Not all will be covered by the lecture; studying the textbook is recommended!) Basic Memory Hierarchy Principles Appendix C (Not all will be covered by the lecture; studying the textbook is recommended!) Cache memory idea Use a small faster memory, a cache memory, to store recently

More information

Cache Memory and Performance

Cache Memory and Performance Cache Memory and Performance Cache Performance 1 Many of the following slides are taken with permission from Complete Powerpoint Lecture Notes for Computer Systems: A Programmer's Perspective (CS:APP)

More information

ADMIN. SI232 Set #18: Caching Finale and Virtual Reality (Chapter 7) Down the home stretch. Split Caches. Final Exam Monday May 1 (first exam day)

ADMIN. SI232 Set #18: Caching Finale and Virtual Reality (Chapter 7) Down the home stretch. Split Caches. Final Exam Monday May 1 (first exam day) ADMIN SI232 Set #8: Caching Finale and Virtual Reality (Chapter 7) Ethics Discussion & Reading Quiz Wed April 2 Reading posted online Reading finish Chapter 7 Sections 7.4 (skip 53-536), 7.5, 7.7, 7.8

More information

ELE 375 / COS 471 Final Exam Fall, 2001 Prof. Martonosi

ELE 375 / COS 471 Final Exam Fall, 2001 Prof. Martonosi ELE 375 / COS 471 Final Exam Fall, 2001 Prof. Martonosi Question Score 1 /10 2 /20 3 /15 4 /15 5 /10 6 /20 7 /20 8 /25 9 /30 10 /30 11 /30 12 /15 13 /10 Total / 250 Please write your answers clearly in

More information

Memory hier ar hier ch ar y ch rev re i v e i w e ECE 154B Dmitri Struko Struk v o

Memory hier ar hier ch ar y ch rev re i v e i w e ECE 154B Dmitri Struko Struk v o Memory hierarchy review ECE 154B Dmitri Strukov Outline Cache motivation Cache basics Opteron example Cache performance Six basic optimizations Virtual memory Processor DRAM gap (latency) Four issue superscalar

More information

Computer Systems Architecture I. CSE 560M Lecture 18 Guest Lecturer: Shakir James

Computer Systems Architecture I. CSE 560M Lecture 18 Guest Lecturer: Shakir James Computer Systems Architecture I CSE 560M Lecture 18 Guest Lecturer: Shakir James Plan for Today Announcements No class meeting on Monday, meet in project groups Project demos < 2 weeks, Nov 23 rd Questions

More information

Virtual Memory: From Address Translation to Demand Paging

Virtual Memory: From Address Translation to Demand Paging Constructive Computer Architecture Virtual Memory: From Address Translation to Demand Paging Arvind Computer Science & Artificial Intelligence Lab. Massachusetts Institute of Technology November 12, 2014

More information

Virtual Memory Virtual memory first used to relive programmers from the burden of managing overlays.

Virtual Memory Virtual memory first used to relive programmers from the burden of managing overlays. CSE420 Virtual Memory Prof. Mokhtar Aboelaze York University Based on Slides by Prof. L. Bhuyan (UCR) Prof. M. Shaaban (RIT) Virtual Memory Virtual memory first used to relive programmers from the burden

More information

Memory Hierarchy. Mehran Rezaei

Memory Hierarchy. Mehran Rezaei Memory Hierarchy Mehran Rezaei What types of memory do we have? Registers Cache (Static RAM) Main Memory (Dynamic RAM) Disk (Magnetic Disk) Option : Build It Out of Fast SRAM About 5- ns access Decoders

More information

ENGN 2910A Homework 03 (140 points) Due Date: Oct 3rd 2013

ENGN 2910A Homework 03 (140 points) Due Date: Oct 3rd 2013 ENGN 2910A Homework 03 (140 points) Due Date: Oct 3rd 2013 Professor: Sherief Reda School of Engineering, Brown University 1. [from Debois et al. 30 points] Consider the non-pipelined implementation of

More information

Virtual Memory. CS 3410 Computer System Organization & Programming

Virtual Memory. CS 3410 Computer System Organization & Programming Virtual Memory CS 3410 Computer System Organization & Programming These slides are the product of many rounds of teaching CS 3410 by Professors Weatherspoon, Bala, Bracy, and Sirer. Where are we now and

More information

EN1640: Design of Computing Systems Topic 06: Memory System

EN1640: Design of Computing Systems Topic 06: Memory System EN164: Design of Computing Systems Topic 6: Memory System Professor Sherief Reda http://scale.engin.brown.edu Electrical Sciences and Computer Engineering School of Engineering Brown University Spring

More information

LECTURE 12. Virtual Memory

LECTURE 12. Virtual Memory LECTURE 12 Virtual Memory VIRTUAL MEMORY Just as a cache can provide fast, easy access to recently-used code and data, main memory acts as a cache for magnetic disk. The mechanism by which this is accomplished

More information

c. What are the machine cycle times (in nanoseconds) of the non-pipelined and the pipelined implementations?

c. What are the machine cycle times (in nanoseconds) of the non-pipelined and the pipelined implementations? Brown University School of Engineering ENGN 164 Design of Computing Systems Professor Sherief Reda Homework 07. 140 points. Due Date: Monday May 12th in B&H 349 1. [30 points] Consider the non-pipelined

More information

Computer Architecture CS372 Exam 3

Computer Architecture CS372 Exam 3 Name: Computer Architecture CS372 Exam 3 This exam has 7 pages. Please make sure you have all of them. Write your name on this page and initials on every other page now. You may only use the green card

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

Chapter Seven Morgan Kaufmann Publishers

Chapter Seven Morgan Kaufmann Publishers Chapter Seven 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 as a charge on capacitor (must be

More information

registers data 1 registers MEMORY ADDRESS on-chip cache off-chip cache main memory: real address space part of virtual addr. sp.

registers data 1 registers MEMORY ADDRESS on-chip cache off-chip cache main memory: real address space part of virtual addr. sp. Cache associativity Cache and performance 12 1 CMPE110 Spring 2005 A. Di Blas 110 Spring 2005 CMPE Cache Direct-mapped cache Reads and writes Textbook Edition: 7.1 to 7.3 Second Third Edition: 7.1 to 7.3

More information

Virtual to physical address translation

Virtual to physical address translation Virtual to physical address translation Virtual memory with paging Page table per process Page table entry includes present bit frame number modify bit flags for protection and sharing. Page tables can

More information

MEMORY HIERARCHY BASICS. B649 Parallel Architectures and Programming

MEMORY HIERARCHY BASICS. B649 Parallel Architectures and Programming MEMORY HIERARCHY BASICS B649 Parallel Architectures and Programming BASICS Why Do We Need Caches? 3 Overview 4 Terminology cache virtual memory memory stall cycles direct mapped valid bit block address

More information

Memory Hierarchies 2009 DAT105

Memory Hierarchies 2009 DAT105 Memory Hierarchies Cache performance issues (5.1) Virtual memory (C.4) Cache performance improvement techniques (5.2) Hit-time improvement techniques Miss-rate improvement techniques Miss-penalty improvement

More information

and data combined) is equal to 7% of the number of instructions. Miss Rate with Second- Level Cache, Direct- Mapped Speed

and data combined) is equal to 7% of the number of instructions. Miss Rate with Second- Level Cache, Direct- Mapped Speed 5.3 By convention, a cache is named according to the amount of data it contains (i.e., a 4 KiB cache can hold 4 KiB of data); however, caches also require SRAM to store metadata such as tags and valid

More information

Virtual Memory. Daniel Sanchez Computer Science & Artificial Intelligence Lab M.I.T. November 15, MIT Fall 2018 L20-1

Virtual Memory. Daniel Sanchez Computer Science & Artificial Intelligence Lab M.I.T. November 15, MIT Fall 2018 L20-1 Virtual Memory Daniel Sanchez Computer Science & Artificial Intelligence Lab M.I.T. L20-1 Reminder: Operating Systems Goals of OS: Protection and privacy: Processes cannot access each other s data Abstraction:

More information

Memory Hierarchy. Caching Chapter 7. Locality. Program Characteristics. What does that mean?!? Exploiting Spatial & Temporal Locality

Memory Hierarchy. Caching Chapter 7. Locality. Program Characteristics. What does that mean?!? Exploiting Spatial & Temporal Locality Caching Chapter 7 Basics (7.,7.2) Cache Writes (7.2 - p 483-485) configurations (7.2 p 487-49) Performance (7.3) Associative caches (7.3 p 496-54) Multilevel caches (7.3 p 55-5) Tech SRAM (logic) SRAM

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

The Memory Hierarchy. Cache, Main Memory, and Virtual Memory (Part 2)

The Memory Hierarchy. Cache, Main Memory, and Virtual Memory (Part 2) The Memory Hierarchy Cache, Main Memory, and Virtual Memory (Part 2) Lecture for CPSC 5155 Edward Bosworth, Ph.D. Computer Science Department Columbus State University Cache Line Replacement The cache

More information

Memory Hierarchy Technology. The Big Picture: Where are We Now? The Five Classic Components of a Computer

Memory Hierarchy Technology. The Big Picture: Where are We Now? The Five Classic Components of a Computer The Big Picture: Where are We Now? The Five Classic Components of a Computer Processor Control Datapath Today s Topics: technologies Technology trends Impact on performance Hierarchy The principle of locality

More information

SE-292 High Performance Computing. Memory Hierarchy. R. Govindarajan

SE-292 High Performance Computing. Memory Hierarchy. R. Govindarajan SE-292 High Performance Computing Memory Hierarchy R. Govindarajan govind@serc Reality Check Question 1: Are real caches built to work on virtual addresses or physical addresses? Question 2: What about

More information

Cache Architectures Design of Digital Circuits 217 Srdjan Capkun Onur Mutlu http://www.syssec.ethz.ch/education/digitaltechnik_17 Adapted from Digital Design and Computer Architecture, David Money Harris

More information

Memory Hierarchy: Motivation

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

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

COSC3330 Computer Architecture Lecture 20. Virtual Memory

COSC3330 Computer Architecture Lecture 20. Virtual Memory COSC3330 Computer Architecture Lecture 20. Virtual Memory Instructor: Weidong Shi (Larry), PhD Computer Science Department University of Houston Virtual Memory Topics Reducing Cache Miss Penalty (#2) Use

More information

EN1640: Design of Computing Systems Topic 06: Memory System

EN1640: Design of Computing Systems Topic 06: Memory System EN164: Design of Computing Systems Topic 6: Memory System Professor Sherief Reda http://scale.engin.brown.edu Electrical Sciences and Computer Engineering School of Engineering Brown University Spring

More information

Virtual Memory. Daniel Sanchez Computer Science & Artificial Intelligence Lab M.I.T. April 12, 2018 L16-1

Virtual Memory. Daniel Sanchez Computer Science & Artificial Intelligence Lab M.I.T. April 12, 2018 L16-1 Virtual Memory Daniel Sanchez Computer Science & Artificial Intelligence Lab M.I.T. L16-1 Reminder: Operating Systems Goals of OS: Protection and privacy: Processes cannot access each other s data Abstraction:

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

Memory latency: Affects cache miss penalty. Measured by:

Memory latency: Affects cache miss penalty. Measured by: Main Memory Main memory generally utilizes Dynamic RAM (DRAM), which use a single transistor to store a bit, but require a periodic data refresh by reading every row. Static RAM may be used for main memory

More information

CS 333 Introduction to Operating Systems. Class 11 Virtual Memory (1) Jonathan Walpole Computer Science Portland State University

CS 333 Introduction to Operating Systems. Class 11 Virtual Memory (1) Jonathan Walpole Computer Science Portland State University CS 333 Introduction to Operating Systems Class 11 Virtual Memory (1) Jonathan Walpole Computer Science Portland State University Virtual addresses Virtual memory addresses (what the process uses) Page

More information

COMPUTER ORGANIZATION AND DESIGN

COMPUTER ORGANIZATION AND DESIGN 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

Solutions for Chapter 7 Exercises

Solutions for Chapter 7 Exercises olutions for Chapter 7 Exercises 1 olutions for Chapter 7 Exercises 7.1 There are several reasons why you may not want to build large memories out of RAM. RAMs require more transistors to build than DRAMs

More information

Virtual Memory. Adapted from instructor s supplementary material from Computer. Patterson & Hennessy, 2008, MK]

Virtual Memory. Adapted from instructor s supplementary material from Computer. Patterson & Hennessy, 2008, MK] Virtual Memory Adapted from instructor s supplementary material from Computer Organization and Design, 4th Edition, Patterson & Hennessy, 2008, MK] Virtual Memory Usemain memory asa cache a for secondarymemory

More information

Memory: Page Table Structure. CSSE 332 Operating Systems Rose-Hulman Institute of Technology

Memory: Page Table Structure. CSSE 332 Operating Systems Rose-Hulman Institute of Technology Memory: Page Table Structure CSSE 332 Operating Systems Rose-Hulman Institute of Technology General address transla+on CPU virtual address data cache MMU Physical address Global memory Memory management

More information

Cache Memory COE 403. Computer Architecture Prof. Muhamed Mudawar. Computer Engineering Department King Fahd University of Petroleum and Minerals

Cache Memory COE 403. Computer Architecture Prof. Muhamed Mudawar. Computer Engineering Department King Fahd University of Petroleum and Minerals Cache Memory COE 403 Computer Architecture Prof. Muhamed Mudawar Computer Engineering Department King Fahd University of Petroleum and Minerals Presentation Outline The Need for Cache Memory The Basics

More information

EITF20: Computer Architecture Part 5.1.1: Virtual Memory

EITF20: Computer Architecture Part 5.1.1: Virtual Memory EITF20: Computer Architecture Part 5.1.1: Virtual Memory Liang Liu liang.liu@eit.lth.se 1 Outline Reiteration Cache optimization Virtual memory Case study AMD Opteron Summary 2 Memory hierarchy 3 Cache

More information

Memory Hierarchy. Goal: Fast, unlimited storage at a reasonable cost per bit.

Memory Hierarchy. Goal: Fast, unlimited storage at a reasonable cost per bit. Memory Hierarchy Goal: Fast, unlimited storage at a reasonable cost per bit. Recall the von Neumann bottleneck - single, relatively slow path between the CPU and main memory. Fast: When you need something

More information

LECTURE 4: LARGE AND FAST: EXPLOITING MEMORY HIERARCHY

LECTURE 4: LARGE AND FAST: EXPLOITING MEMORY HIERARCHY LECTURE 4: LARGE AND FAST: EXPLOITING MEMORY HIERARCHY Abridged version of Patterson & Hennessy (2013):Ch.5 Principle of Locality Programs access a small proportion of their address space at any time Temporal

More information

Translation Buffers (TLB s)

Translation Buffers (TLB s) Translation Buffers (TLB s) To perform virtual to physical address translation we need to look-up a page table Since page table is in memory, need to access memory Much too time consuming; 20 cycles or

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

CSE 2021: Computer Organization

CSE 2021: Computer Organization CSE 2021: Computer Organization Lecture-12a Caches-1 The basics of caches Shakil M. Khan Memory Technology Static RAM (SRAM) 0.5ns 2.5ns, $2000 $5000 per GB Dynamic RAM (DRAM) 50ns 70ns, $20 $75 per GB

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

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

Textbook: Burdea and Coiffet, Virtual Reality Technology, 2 nd Edition, Wiley, Textbook web site:

Textbook: Burdea and Coiffet, Virtual Reality Technology, 2 nd Edition, Wiley, Textbook web site: Textbook: Burdea and Coiffet, Virtual Reality Technology, 2 nd Edition, Wiley, 2003 Textbook web site: www.vrtechnology.org 1 Textbook web site: www.vrtechnology.org Laboratory Hardware 2 Topics 14:332:331

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

Main Memory (Fig. 7.13) Main Memory

Main Memory (Fig. 7.13) Main Memory Main Memory (Fig. 7.13) CPU CPU CPU Cache Multiplexor Cache Cache Bus Bus Bus Memory Memory bank 0 Memory bank 1 Memory bank 2 Memory bank 3 Memory b. Wide memory organization c. Interleaved memory organization

More information

Memory hierarchy and cache

Memory hierarchy and cache Memory hierarchy and cache QUIZ EASY 1). What is used to design Cache? a). SRAM b). DRAM c). Blend of both d). None. 2). What is the Hierarchy of memory? a). Processor, Registers, Cache, Tape, Main memory,

More information

ECE331: Hardware Organization and Design

ECE331: Hardware Organization and Design ECE331: Hardware Organization and Design Lecture 24: Cache Performance Analysis Adapted from Computer Organization and Design, Patterson & Hennessy, UCB Overview Last time: Associative caches How do we

More information

Module Outline. CPU Memory interaction Organization of memory modules Cache memory Mapping and replacement policies.

Module Outline. CPU Memory interaction Organization of memory modules Cache memory Mapping and replacement policies. M6 Memory Hierarchy Module Outline CPU Memory interaction Organization of memory modules Cache memory Mapping and replacement policies. Events on a Cache Miss Events on a Cache Miss Stall the pipeline.

More information

CSE 2021: Computer Organization

CSE 2021: Computer Organization CSE 2021: Computer Organization Lecture-12 Caches-1 The basics of caches Shakil M. Khan Memory Technology Static RAM (SRAM) 0.5ns 2.5ns, $2000 $5000 per GB Dynamic RAM (DRAM) 50ns 70ns, $20 $75 per GB

More information

CPE300: Digital System Architecture and Design

CPE300: Digital System Architecture and Design CPE300: Digital System Architecture and Design Fall 2011 MW 17:30-18:45 CBC C316 Virtual Memory 11282011 http://www.egr.unlv.edu/~b1morris/cpe300/ 2 Outline Review Cache Virtual Memory Projects 3 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

CS399 New Beginnings. Jonathan Walpole

CS399 New Beginnings. Jonathan Walpole CS399 New Beginnings Jonathan Walpole Virtual Memory (1) Page Tables When and why do we access a page table? - On every instruction to translate virtual to physical addresses? Page Tables When and why

More information

Chapter Seven. Large & Fast: Exploring Memory Hierarchy

Chapter Seven. Large & Fast: Exploring Memory Hierarchy Chapter Seven Large & Fast: Exploring Memory Hierarchy 1 Memories: Review SRAM (Static Random Access Memory): value is stored on a pair of inverting gates very fast but takes up more space than DRAM DRAM

More information

Main Memory. EECC551 - Shaaban. Memory latency: Affects cache miss penalty. Measured by:

Main Memory. EECC551 - Shaaban. Memory latency: Affects cache miss penalty. Measured by: Main Memory Main memory generally utilizes Dynamic RAM (DRAM), which use a single transistor to store a bit, but require a periodic data refresh by reading every row (~every 8 msec). Static RAM may be

More information

Chapter 5A. Large and Fast: Exploiting Memory Hierarchy

Chapter 5A. Large and Fast: Exploiting Memory Hierarchy Chapter 5A Large and Fast: Exploiting Memory Hierarchy Memory Technology Static RAM (SRAM) Fast, expensive Dynamic RAM (DRAM) In between Magnetic disk Slow, inexpensive Ideal memory Access time of SRAM

More information

Memory latency: Affects cache miss penalty. Measured by:

Memory latency: Affects cache miss penalty. Measured by: Main Memory Main memory generally utilizes Dynamic RAM (DRAM), which use a single transistor to store a bit, but require a periodic data refresh by reading every row. Static RAM may be used for main memory

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

Chapter 10: Virtual Memory. Lesson 05: Translation Lookaside Buffers

Chapter 10: Virtual Memory. Lesson 05: Translation Lookaside Buffers Chapter 10: Virtual Memory Lesson 05: Translation Lookaside Buffers Objective Learn that a page table entry access increases the latency for a memory reference Understand that how use of translationlookaside-buffers

More information

Virtual memory why? Virtual memory parameters Compared to first-level cache Parameter First-level cache Virtual memory. Virtual memory concepts

Virtual memory why? Virtual memory parameters Compared to first-level cache Parameter First-level cache Virtual memory. Virtual memory concepts Lecture 16 Virtual memory why? Virtual memory: Virtual memory concepts (5.10) Protection (5.11) The memory hierarchy of Alpha 21064 (5.13) Virtual address space proc 0? s space proc 1 Physical memory Virtual

More information

Lecture 21: Virtual Memory. Spring 2018 Jason Tang

Lecture 21: Virtual Memory. Spring 2018 Jason Tang Lecture 21: Virtual Memory Spring 2018 Jason Tang 1 Topics Virtual addressing Page tables Translation lookaside buffer 2 Computer Organization Computer Processor Memory Devices Control Datapath Input Output

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

Virtual Memory Review. Page faults. Paging system summary (so far)

Virtual Memory Review. Page faults. Paging system summary (so far) Lecture 22 (Wed 11/19/2008) Virtual Memory Review Lab #4 Software Simulation Due Fri Nov 21 at 5pm HW #3 Cache Simulator & code optimization Due Mon Nov 24 at 5pm More Virtual Memory 1 2 Paging system

More information

Reducing Hit Times. Critical Influence on cycle-time or CPI. small is always faster and can be put on chip

Reducing Hit Times. Critical Influence on cycle-time or CPI. small is always faster and can be put on chip Reducing Hit Times Critical Influence on cycle-time or CPI Keep L1 small and simple small is always faster and can be put on chip interesting compromise is to keep the tags on chip and the block data off

More information

EEC 483 Computer Organization. Chapter 5.3 Measuring and Improving Cache Performance. Chansu Yu

EEC 483 Computer Organization. Chapter 5.3 Measuring and Improving Cache Performance. Chansu Yu EEC 483 Computer Organization Chapter 5.3 Measuring and Improving Cache Performance Chansu Yu Cache Performance Performance equation execution time = (execution cycles + stall cycles) x cycle time stall

More information

Virtual Memory: From Address Translation to Demand Paging

Virtual Memory: From Address Translation to Demand Paging Constructive Computer Architecture Virtual Memory: From Address Translation to Demand Paging Arvind Computer Science & Artificial Intelligence Lab. Massachusetts Institute of Technology November 9, 2015

More information

Virtual Memory. CS 3410 Computer System Organization & Programming. [K. Bala, A. Bracy, E. Sirer, and H. Weatherspoon]

Virtual Memory. CS 3410 Computer System Organization & Programming. [K. Bala, A. Bracy, E. Sirer, and H. Weatherspoon] Virtual Memory CS 3410 Computer System Organization & Programming [K. Bala, A. Bracy, E. Sirer, and H. Weatherspoon] Click any letter let me know you re here today. Instead of a DJ Clicker Question today,

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

Sarah L. Harris and David Money Harris. Digital Design and Computer Architecture: ARM Edition Chapter 8 <1>

Sarah L. Harris and David Money Harris. Digital Design and Computer Architecture: ARM Edition Chapter 8 <1> Chapter 8 Digital Design and Computer Architecture: ARM Edition Sarah L. Harris and David Money Harris Digital Design and Computer Architecture: ARM Edition 215 Chapter 8 Chapter 8 :: Topics Introduction

More information

Virtual Memory. Kevin Webb Swarthmore College March 8, 2018

Virtual Memory. Kevin Webb Swarthmore College March 8, 2018 irtual Memory Kevin Webb Swarthmore College March 8, 2018 Today s Goals Describe the mechanisms behind address translation. Analyze the performance of address translation alternatives. Explore page replacement

More information

Virtual Memory. Patterson & Hennessey Chapter 5 ELEC 5200/6200 1

Virtual Memory. Patterson & Hennessey Chapter 5 ELEC 5200/6200 1 Virtual Memory Patterson & Hennessey Chapter 5 ELEC 5200/6200 1 Virtual Memory Use main memory as a cache for secondary (disk) storage Managed jointly by CPU hardware and the operating system (OS) Programs

More information

Memory. Principle of Locality. It is impossible to have memory that is both. We create an illusion for the programmer. Employ memory hierarchy

Memory. Principle of Locality. It is impossible to have memory that is both. We create an illusion for the programmer. Employ memory hierarchy Datorarkitektur och operativsystem Lecture 7 Memory It is impossible to have memory that is both Unlimited (large in capacity) And fast 5.1 Intr roduction We create an illusion for the programmer Before

More information