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

Size: px
Start display at page:

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

Transcription

1 Lecture 16 Virtual memory why? Virtual memory: Virtual memory concepts (5.10) Protection (5.11) The memory hierarchy of Alpha (5.13) Virtual address space proc 0? s space proc 1 Physical memory Virtual address space proc 2 Reasons to use VM: Large address space Several processes sharing the same physical memory Protection of memory Relocation Virtual memory concepts Part of the memory hierarchy: The virtual address space (AS) is divided into pages The physical AS is divided into page frames A miss is called a page fault Pages not in main memory are stored The CPU uses virtual addresses on disk We need an address translation mechanism Virtual memory parameters Compared to first-level cache Parameter First-level cache Virtual memory Block (page) size bytes 4K-64K bytes Hit time 1-3 clock cycles clock cycles Miss penalty (Access time) (Transfer time) clock cycles 1000K-10000K clock cycles (6-130 clock cycles) (800K-8000K clock cycles) (2-20 clock cycles) (200K-2000K clock cycles) Miss rate 0.1%-10% %-0.001% Data memory size 16 Kbyte - 1 Mbyte 16 Mbyte - 8 Gbyte Replacement in cache handled by HW Replacement in VM handled by SW The backing store for VM (paging (swap) partition on disk) is shared with the file system 1

2 VM: Block placement Where can a block (page) be placed in main memory? Cache access: 0.3 ns Memory access: 100 ns Disk access: 1 ms minimise miss rate The high miss penalty makes is possible to use SW solutions to implement a fully associative address mapping VM: Block identification Use a page table stored in main memory: Suppose 4 Kbyte pages, 32 bit virtual address Page table takes 2 32 /2 12 *4 = 2 22 = 4 Mbyte!!! Solutions: Multi-level page table Inverted page table How do we make the page table lookup fast? VM: Page replacement Most important: minimise number of page faults Page replacement strategies: FIFO First-In-First-Out LRU Least Recently Used Approximation Each page has a reference bit that is set on a reference The OS periodically resets the reference bits Often use some kind of counter When a page needs to be replaced, a page with a reference bit that is not set is chosen High counter value Main memory is large these days VM: Write strategy Write back or Write through? Write back! Write through is impossible to use: Too long access time to disk The write buffer would need to be very large The I/O system would need an extremely high bandwidth 2

3 Address translation Example: The Alpha Segment is selected by bit 62 & 63 in addr. kseg Kernel segment Used by OS. Does not use virtual memory. User segment 1 Used for stack. User segment 0 Used for instr. & static data & heap Fast address translation How do we avoid three extra memory references for each original memory reference? Store the most commonly used address translations in a cache Translation Lookaside Buffer P data TLB hit VA PA Cache TLB lookup Cache miss Translation TLB miss Cache hit Main memory Process 0 Process 1 X X Y Z Protection Address translation Physical memory Process 0 mustn t be allowed to alter memory of process 1 and vice versa They should, however, be able to share pages Protection mechanisms The address translation mechanism can be used to provide memory protection: Use protection attribute bits for each page Stored in the page table entry (PTE) and TLB Each page gets its own protection If a process does not have permission to, e.g., write to a memory address, this is detected in the address translation and an exception is raised Supervisor/user modes necessary to prevent user processes from changing page tables 3

4 li Computer Architecture: Lecture 9 The memory hierarchy of Alpha The Alpha data TLB Separate Instr & Data TLB and Caches TLBs fully associative TLB updates in SW Cache 8Kbyte direct mapped, write through Critical 8 bytes first Prefetch instr one block 2 MB L2 cache, direct mapped, write back Victim cache 4 entry write buffer between L1 and L2 ITLB I-cache prefetch buffer DTLB D-cache write buffer L2 cache victim 32 page table entries Fully associative Valid bit, kernel & user read and write permissions Instruction TLB has only 12 entries The Alpha data cache 8 Kbyte, 32 byte block size 256 blocks 1st level cache is write-through write buffer A special one-entry write buffer is used to pipeline stores CPI 5 4,5 4 3,5 3 2,5 2 1,5 1 0,5 0 Alpha memory hierarchy performance TPC-B (db1) TPC-B (db2) Alphasort espresso eqntott compress sc gcc spice doduc mdljdp2 wave5 tomcatv ora alvinn ear mdljsp2 swm256 su2cor hydro2d nasa7 fpppp I cache D cache L2 Instr. issue Other Instruction issue and data stalls are by far the largest contributions to the overall CPI 4

5 Summary Cache memories: Crucial with modern µprocessor technology Separate instruction and data caches permits simultaneous instruction fetch and data access Four questions: Block placement Block identification Block replacement Write strategy Virtual memory: Also part of the memory hierarchy Very high miss penalty miss rate must be very low Also facilitates: program loading memory protection multiprogramming 5

Lecture 19: Memory Hierarchy Five Ways to Reduce Miss Penalty (Second Level Cache) Admin

Lecture 19: Memory Hierarchy Five Ways to Reduce Miss Penalty (Second Level Cache) Admin Lecture 19: Memory Hierarchy Five Ways to Reduce Miss Penalty (Second Level Cache) Professor Alvin R. Lebeck Computer Science 220 Fall 1999 Exam Average 76 90-100 4 80-89 3 70-79 3 60-69 5 < 60 1 Admin

More information

Cache Performance! ! Memory system and processor performance:! ! Improving memory hierarchy performance:! CPU time = IC x CPI x Clock time

Cache Performance! ! Memory system and processor performance:! ! Improving memory hierarchy performance:! CPU time = IC x CPI x Clock time Cache Performance!! Memory system and processor performance:! CPU time = IC x CPI x Clock time CPU performance eqn. CPI = CPI ld/st x IC ld/st IC + CPI others x IC others IC CPI ld/st = Pipeline time +

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

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

Cache Performance! ! Memory system and processor performance:! ! Improving memory hierarchy performance:! CPU time = IC x CPI x Clock time

Cache Performance! ! Memory system and processor performance:! ! Improving memory hierarchy performance:! CPU time = IC x CPI x Clock time Cache Performance!! Memory system and processor performance:! CPU time = IC x CPI x Clock time CPU performance eqn. CPI = CPI ld/st x IC ld/st IC + CPI others x IC others IC CPI ld/st = Pipeline time +

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 Virtual memory Case study AMD Opteron Summary 2 Memory hierarchy 3 Cache performance 4 Cache

More information

Classification Steady-State Cache Misses: Techniques To Improve Cache Performance:

Classification Steady-State Cache Misses: Techniques To Improve Cache Performance: #1 Lec # 9 Winter 2003 1-21-2004 Classification Steady-State Cache Misses: The Three C s of cache Misses: Compulsory Misses Capacity Misses Conflict Misses Techniques To Improve Cache Performance: Reduce

More information

Types of Cache Misses: The Three C s

Types of Cache Misses: The Three C s Types of Cache Misses: The Three C s 1 Compulsory: On the first access to a block; the block must be brought into the cache; also called cold start misses, or first reference misses. 2 Capacity: Occur

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

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

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

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

Virtual Memory. Virtual Memory

Virtual Memory. Virtual Memory Virtual Memory Virtual Memory Main memory is cache for secondary storage Secondary storage (disk) holds the complete virtual address space Only a portion of the virtual address space lives in the physical

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

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 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

Chapter-5 Memory Hierarchy Design

Chapter-5 Memory Hierarchy Design Chapter-5 Memory Hierarchy Design Unlimited amount of fast memory - Economical solution is memory hierarchy - Locality - Cost performance Principle of locality - most programs do not access all code or

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

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

CPS104 Computer Organization and Programming Lecture 16: Virtual Memory. Robert Wagner

CPS104 Computer Organization and Programming Lecture 16: Virtual Memory. Robert Wagner CPS104 Computer Organization and Programming Lecture 16: Virtual Memory Robert Wagner cps 104 VM.1 RW Fall 2000 Outline of Today s Lecture Virtual Memory. Paged virtual memory. Virtual to Physical translation:

More information

ECE468 Computer Organization and Architecture. Virtual Memory

ECE468 Computer Organization and Architecture. Virtual Memory ECE468 Computer Organization and Architecture Virtual Memory ECE468 vm.1 Review: The Principle of Locality Probability of reference 0 Address Space 2 The Principle of Locality: Program access a relatively

More information

CS 152 Computer Architecture and Engineering

CS 152 Computer Architecture and Engineering CS 152 Computer Architecture and Engineering Lecture 22 Advanced Processors III 2005-4-12 John Lazzaro (www.cs.berkeley.edu/~lazzaro) TAs: Ted Hong and David Marquardt www-inst.eecs.berkeley.edu/~cs152/

More information

ECE4680 Computer Organization and Architecture. Virtual Memory

ECE4680 Computer Organization and Architecture. Virtual Memory ECE468 Computer Organization and Architecture Virtual Memory If I can see it and I can touch it, it s real. If I can t see it but I can touch it, it s invisible. If I can see it but I can t touch it, it

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

Lecture 7: Memory Hierarchy 3 Cs and 7 Ways to Reduce Misses Professor David A. Patterson Computer Science 252 Fall 1996

Lecture 7: Memory Hierarchy 3 Cs and 7 Ways to Reduce Misses Professor David A. Patterson Computer Science 252 Fall 1996 Lecture 7: Memory Hierarchy 3 Cs and 7 Ways to Reduce Misses Professor David A. Patterson Computer Science 252 Fall 1996 DAP.F96 1 Vector Summary Like superscalar and VLIW, exploits ILP Alternate model

More information

Memory Hierarchy Design. Chapter 5

Memory Hierarchy Design. Chapter 5 Memory Hierarchy Design Chapter 5 1 Outline Review of the ABCs of Caches (5.2) Cache Performance Reducing Cache Miss Penalty 2 Problem CPU vs Memory performance imbalance Solution Driven by temporal and

More information

ECE331: Hardware Organization and Design

ECE331: Hardware Organization and Design ECE331: Hardware Organization and Design Lecture 29: an Introduction to Virtual Memory Adapted from Computer Organization and Design, Patterson & Hennessy, UCB Overview Virtual memory used to protect applications

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

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 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

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

CS 152 Computer Architecture and Engineering

CS 152 Computer Architecture and Engineering CS 152 Computer Architecture and Engineering Lecture 19 Advanced Processors III 2006-11-2 John Lazzaro (www.cs.berkeley.edu/~lazzaro) TAs: Udam Saini and Jue Sun www-inst.eecs.berkeley.edu/~cs152/ 1 Last

More information

CPS 104 Computer Organization and Programming Lecture 20: Virtual Memory

CPS 104 Computer Organization and Programming Lecture 20: Virtual Memory CPS 104 Computer Organization and Programming Lecture 20: Virtual Nov. 10, 1999 Dietolf (Dee) Ramm http://www.cs.duke.edu/~dr/cps104.html CPS 104 Lecture 20.1 Outline of Today s Lecture O Virtual. 6 Paged

More information

Lecture 9: Case Study MIPS R4000 and Introduction to Advanced Pipelining Professor Randy H. Katz Computer Science 252 Spring 1996

Lecture 9: Case Study MIPS R4000 and Introduction to Advanced Pipelining Professor Randy H. Katz Computer Science 252 Spring 1996 Lecture 9: Case Study MIPS R4000 and Introduction to Advanced Pipelining Professor Randy H. Katz Computer Science 252 Spring 1996 RHK.SP96 1 Review: Evaluating Branch Alternatives Two part solution: Determine

More information

CS 152 Computer Architecture and Engineering. Lecture 8 - Memory Hierarchy-III

CS 152 Computer Architecture and Engineering. Lecture 8 - Memory Hierarchy-III CS 152 Computer Architecture and Engineering Lecture 8 - Memory Hierarchy-III Krste Asanovic Electrical Engineering and Computer Sciences University of California at Berkeley http://www.eecs.berkeley.edu/~krste!

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

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

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: 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

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

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

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

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

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

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

5DV118 Computer Organization and Architecture Umeå University Department of Computing Science Stephen J. Hegner

5DV118 Computer Organization and Architecture Umeå University Department of Computing Science Stephen J. Hegner 5DV8 Computer Organization and Architecture Umeå University Department of Computing Science Stephen J. Hegner Topic 5: The Memory Hierarchy Part B: Address Translation These slides are mostly taken verbatim,

More information

CS152 Computer Architecture and Engineering Lecture 18: Virtual Memory

CS152 Computer Architecture and Engineering Lecture 18: Virtual Memory CS152 Computer Architecture and Engineering Lecture 18: Virtual Memory March 22, 1995 Dave Patterson (patterson@cs) and Shing Kong (shingkong@engsuncom) Slides available on http://httpcsberkeleyedu/~patterson

More information

Recap: The Big Picture: Where are We Now? The Five Classic Components of a Computer. CS152 Computer Architecture and Engineering Lecture 20.

Recap: The Big Picture: Where are We Now? The Five Classic Components of a Computer. CS152 Computer Architecture and Engineering Lecture 20. Recap The Big Picture Where are We Now? CS5 Computer Architecture and Engineering Lecture s April 4, 3 John Kubiatowicz (www.cs.berkeley.edu/~kubitron) lecture slides http//inst.eecs.berkeley.edu/~cs5/

More information

Address Translation. Jinkyu Jeong Computer Systems Laboratory Sungkyunkwan University

Address Translation. Jinkyu Jeong Computer Systems Laboratory Sungkyunkwan University Address Translation Jinkyu Jeong (jinkyu@skku.edu) Computer Systems Laboratory Sungkyunkwan University http://csl.skku.edu Today s Topics How to reduce the size of page tables? How to reduce the time for

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

COSC 6385 Computer Architecture. - Memory Hierarchies (I)

COSC 6385 Computer Architecture. - Memory Hierarchies (I) COSC 6385 Computer Architecture - Hierarchies (I) Fall 2007 Slides are based on a lecture by David Culler, University of California, Berkley http//www.eecs.berkeley.edu/~culler/courses/cs252-s05 Recap

More information

Transistor: Digital Building Blocks

Transistor: Digital Building Blocks Final Exam Review Transistor: Digital Building Blocks Logically, each transistor acts as a switch Combined to implement logic functions (gates) AND, OR, NOT Combined to build higher-level structures Multiplexer,

More information

CS252 S05. Outline. Dynamic Branch Prediction. Static Branch Prediction. Dynamic Branch Prediction. Dynamic Branch Prediction

CS252 S05. Outline. Dynamic Branch Prediction. Static Branch Prediction. Dynamic Branch Prediction. Dynamic Branch Prediction Outline CMSC Computer Systems Architecture Lecture 9 Instruction Level Parallelism (Static & Dynamic Branch ion) ILP Compiler techniques to increase ILP Loop Unrolling Static Branch ion Dynamic Branch

More information

Chapter 8 & Chapter 9 Main Memory & Virtual Memory

Chapter 8 & Chapter 9 Main Memory & Virtual Memory Chapter 8 & Chapter 9 Main Memory & Virtual Memory 1. Various ways of organizing memory hardware. 2. Memory-management techniques: 1. Paging 2. Segmentation. Introduction Memory consists of a large array

More information

Computer Systems. Virtual Memory. Han, Hwansoo

Computer Systems. Virtual Memory. Han, Hwansoo Computer Systems Virtual Memory Han, Hwansoo A System Using Physical Addressing CPU Physical address (PA) 4 Main memory : : 2: 3: 4: 5: 6: 7: 8:... M-: Data word Used in simple systems like embedded microcontrollers

More information

Virtual Memory. Lecture for CPSC 5155 Edward Bosworth, Ph.D. Computer Science Department Columbus State University

Virtual Memory. Lecture for CPSC 5155 Edward Bosworth, Ph.D. Computer Science Department Columbus State University Virtual Memory Lecture for CPSC 5155 Edward Bosworth, Ph.D. Computer Science Department Columbus State University Precise Definition of Virtual Memory Virtual memory is a mechanism for translating logical

More information

HY225 Lecture 12: DRAM and Virtual Memory

HY225 Lecture 12: DRAM and Virtual Memory HY225 Lecture 12: DRAM and irtual Memory Dimitrios S. Nikolopoulos University of Crete and FORTH-ICS May 16, 2011 Dimitrios S. Nikolopoulos Lecture 12: DRAM and irtual Memory 1 / 36 DRAM Fundamentals Random-access

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

CMSC 313 COMPUTER ORGANIZATION & ASSEMBLY LANGUAGE PROGRAMMING LECTURE 27, SPRING 2013

CMSC 313 COMPUTER ORGANIZATION & ASSEMBLY LANGUAGE PROGRAMMING LECTURE 27, SPRING 2013 CMSC 313 COMPUTER ORGANIZATION & ASSEMBLY LANGUAGE PROGRAMMING LECTURE 27, SPRING 2013 CACHING Why: bridge speed difference between CPU and RAM Modern RAM allows blocks of memory to be read quickly Principle

More information

Virtual Memory. Yannis Smaragdakis, U. Athens

Virtual Memory. Yannis Smaragdakis, U. Athens Virtual Memory Yannis Smaragdakis, U. Athens Example Modern Address Space (64-bit Linux) location of code : 0x40057d location of heap : 0xcf2010 location of stack : 0x7fff9ca45fcc 0x400000 0x401000 0xcf2000

More information

Dynamic Hardware Prediction. Basic Branch Prediction Buffers. N-bit Branch Prediction Buffers

Dynamic Hardware Prediction. Basic Branch Prediction Buffers. N-bit Branch Prediction Buffers Dynamic Hardware Prediction Importance of control dependences Branches and jumps are frequent Limiting factor as ILP increases (Amdahl s law) Schemes to attack control dependences Static Basic (stall the

More information

CS 153 Design of Operating Systems Winter 2016

CS 153 Design of Operating Systems Winter 2016 CS 153 Design of Operating Systems Winter 2016 Lecture 16: Memory Management and Paging Announcement Homework 2 is out To be posted on ilearn today Due in a week (the end of Feb 19 th ). 2 Recap: Fixed

More information

CS 5523 Operating Systems: Memory Management (SGG-8)

CS 5523 Operating Systems: Memory Management (SGG-8) CS 5523 Operating Systems: Memory Management (SGG-8) Instructor: Dr Tongping Liu Thank Dr Dakai Zhu, Dr Palden Lama, and Dr Tim Richards (UMASS) for providing their slides Outline Simple memory management:

More information

CS252 S05. Main memory management. Memory hardware. The scale of things. Memory hardware (cont.) Bottleneck

CS252 S05. Main memory management. Memory hardware. The scale of things. Memory hardware (cont.) Bottleneck Main memory management CMSC 411 Computer Systems Architecture Lecture 16 Memory Hierarchy 3 (Main Memory & Memory) Questions: How big should main memory be? How to handle reads and writes? How to find

More information

John Wawrzynek & Nick Weaver

John Wawrzynek & Nick Weaver CS 61C: Great Ideas in Computer Architecture Lecture 23: Virtual Memory John Wawrzynek & Nick Weaver http://inst.eecs.berkeley.edu/~cs61c From Previous Lecture: Operating Systems Input / output (I/O) Memory

More information

CS 152 Computer Architecture and Engineering. Lecture 8 - Memory Hierarchy-III

CS 152 Computer Architecture and Engineering. Lecture 8 - Memory Hierarchy-III CS 152 Computer Architecture and Engineering Lecture 8 - Memory Hierarchy-III Krste Asanovic Electrical Engineering and Computer Sciences University of California at Berkeley http://www.eecs.berkeley.edu/~krste

More information

Computer Science 146. Computer Architecture

Computer Science 146. Computer Architecture Computer Architecture Spring 2004 Harvard University Instructor: Prof. dbrooks@eecs.harvard.edu Lecture 18: Virtual Memory Lecture Outline Review of Main Memory Virtual Memory Simple Interleaving Cycle

More information

Operating Systems. Designed and Presented by Dr. Ayman Elshenawy Elsefy

Operating Systems. Designed and Presented by Dr. Ayman Elshenawy Elsefy Operating Systems Designed and Presented by Dr. Ayman Elshenawy Elsefy Dept. of Systems & Computer Eng.. AL-AZHAR University Website : eaymanelshenawy.wordpress.com Email : eaymanelshenawy@yahoo.com Reference

More information

Cache Performance (H&P 5.3; 5.5; 5.6)

Cache Performance (H&P 5.3; 5.5; 5.6) Cache Performance (H&P 5.3; 5.5; 5.6) Memory system and processor performance: CPU time = IC x CPI x Clock time CPU performance eqn. CPI = CPI ld/st x IC ld/st IC + CPI others x IC others IC CPI ld/st

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

CS 61C: Great Ideas in Computer Architecture. Virtual Memory

CS 61C: Great Ideas in Computer Architecture. Virtual Memory CS 61C: Great Ideas in Computer Architecture Virtual Memory Instructor: Justin Hsia 7/30/2012 Summer 2012 Lecture #24 1 Review of Last Lecture (1/2) Multiple instruction issue increases max speedup, but

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

CMSC 313 COMPUTER ORGANIZATION & ASSEMBLY LANGUAGE PROGRAMMING LECTURE 27, FALL 2012

CMSC 313 COMPUTER ORGANIZATION & ASSEMBLY LANGUAGE PROGRAMMING LECTURE 27, FALL 2012 CMSC 313 COMPUTER ORGANIZATION & ASSEMBLY LANGUAGE PROGRAMMING LECTURE 27, FALL 2012 ANNOUNCEMENTS Need student input on Lecturer Search Max Morawski Lecture 2:30pm 3:15pm, Fri 12/7, ITE 217 Meet with

More information

ECE232: Hardware Organization and Design

ECE232: Hardware Organization and Design ECE232: Hardware Organization and Design Lecture 28: More Virtual Memory Adapted from Computer Organization and Design, Patterson & Hennessy, UCB Overview Virtual memory used to protect applications from

More information

CS 152 Computer Architecture and Engineering. Lecture 8 - Memory Hierarchy-III

CS 152 Computer Architecture and Engineering. Lecture 8 - Memory Hierarchy-III CS 152 Computer Architecture and Engineering Lecture 8 - Memory Hierarchy-III Krste Asanovic Electrical Engineering and Computer Sciences University of California at Berkeley http://www.eecs.berkeley.edu/~krste

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

EECS 470. Lecture 16 Virtual Memory. Fall 2018 Jon Beaumont

EECS 470. Lecture 16 Virtual Memory. Fall 2018 Jon Beaumont Lecture 16 Virtual Memory Fall 2018 Jon Beaumont http://www.eecs.umich.edu/courses/eecs470 Slides developed in part by Profs. Austin, Brehob, Falsafi, Hill, Hoe, Lipasti, Shen, Smith, Sohi, Tyson, and

More information

Time 11/03/99 UCB Fall 1999

Time 11/03/99 UCB Fall 1999 Recap Who Cares About the Hierarchy? CS52 Computer Architecture and Engineering Lecture 9 s and TLBs November 3, 999 John Kubiatowicz (http.cs.berkeley.edu/~kubitron) lecture slides http//www-inst.eecs.berkeley.edu/~cs52/

More information

Chapter 5. Large and Fast: Exploiting Memory Hierarchy. Part II Virtual Memory

Chapter 5. Large and Fast: Exploiting Memory Hierarchy. Part II Virtual Memory Chapter 5 Large and Fast: Exploiting Memory Hierarchy Part II Virtual Memory Virtual Memory Use main memory as a cache for secondary (disk) storage Managed jointly by CPU hardware and the operating system

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

Chapter 8 Virtual Memory

Chapter 8 Virtual Memory Operating Systems: Internals and Design Principles Chapter 8 Virtual Memory Seventh Edition William Stallings Modified by Rana Forsati for CSE 410 Outline Principle of locality Paging - Effect of page

More information

Virtual Memory. User memory model so far:! In reality they share the same memory space! Separate Instruction and Data memory!!

Virtual Memory. User memory model so far:! In reality they share the same memory space! Separate Instruction and Data memory!! Virtual Memory User memory model so far:! Separate Instruction and Data memory!! In reality they share the same memory space!!! 0x00000000 User space Instruction memory 0x7fffffff Data memory MicroComuter

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

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

Recap: Set Associative Cache. N-way set associative: N entries for each Cache Index N direct mapped caches operates in parallel

Recap: Set Associative Cache. N-way set associative: N entries for each Cache Index N direct mapped caches operates in parallel Recap: Set Associative Cache CS152 Computer Architecture and Engineering Lecture 21 Virtual and Buses April 19, 1999 John Kubiatowicz (http.cs.berkeley.edu/~kubitron) Valid N-way set associative: N entries

More information

CS 152 Computer Architecture and Engineering

CS 152 Computer Architecture and Engineering CS 152 Computer Architecture and Engineering Lecture 22 Advanced Processors III 2004-11-18 Dave Patterson (www.cs.berkeley.edu/~patterson) John Lazzaro (www.cs.berkeley.edu/~lazzaro) www-inst.eecs.berkeley.edu/~cs152/

More information

Virtual Memory 1. Virtual Memory

Virtual Memory 1. Virtual Memory Virtual Memory 1 Virtual Memory key concepts virtual memory, physical memory, address translation, MMU, TLB, relocation, paging, segmentation, executable file, swapping, page fault, locality, page replacement

More information

Virtual Memory 1. Virtual Memory

Virtual Memory 1. Virtual Memory Virtual Memory 1 Virtual Memory key concepts virtual memory, physical memory, address translation, MMU, TLB, relocation, paging, segmentation, executable file, swapping, page fault, locality, page replacement

More information

Virtual Memory. Motivation:

Virtual Memory. Motivation: Virtual Memory Motivation:! Each process would like to see its own, full, address space! Clearly impossible to provide full physical memory for all processes! Processes may define a large address space

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

Virtual Memory - Objectives

Virtual Memory - Objectives ECE232: Hardware Organization and Design Part 16: Virtual Memory Chapter 7 http://www.ecs.umass.edu/ece/ece232/ Adapted from Computer Organization and Design, Patterson & Hennessy Virtual Memory - Objectives

More information

CISC 662 Graduate Computer Architecture Lecture 16 - Cache and virtual memory review

CISC 662 Graduate Computer Architecture Lecture 16 - Cache and virtual memory review CISC 662 Graduate Computer Architecture Lecture 6 - Cache and virtual memory review Michela Taufer http://www.cis.udel.edu/~taufer/teaching/cis662f07 Powerpoint Lecture Notes from John Hennessy and David

More information

Learning Outcomes. An understanding of page-based virtual memory in depth. Including the R3000 s support for virtual memory.

Learning Outcomes. An understanding of page-based virtual memory in depth. Including the R3000 s support for virtual memory. Virtual Memory 1 Learning Outcomes An understanding of page-based virtual memory in depth. Including the R3000 s support for virtual memory. 2 Memory Management Unit (or TLB) The position and function

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

CSE 120. Translation Lookaside Buffer (TLB) Implemented in Hardware. July 18, Day 5 Memory. Instructor: Neil Rhodes. Software TLB Management

CSE 120. Translation Lookaside Buffer (TLB) Implemented in Hardware. July 18, Day 5 Memory. Instructor: Neil Rhodes. Software TLB Management CSE 120 July 18, 2006 Day 5 Memory Instructor: Neil Rhodes Translation Lookaside Buffer (TLB) Implemented in Hardware Cache to map virtual page numbers to page frame Associative memory: HW looks up in

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

virtual memory Page 1 CSE 361S Disk Disk

virtual memory Page 1 CSE 361S Disk Disk CSE 36S Motivations for Use DRAM a for the Address space of a process can exceed physical memory size Sum of address spaces of multiple processes can exceed physical memory Simplify Management 2 Multiple

More information

Chapter 8. Virtual Memory

Chapter 8. Virtual Memory Operating System Chapter 8. Virtual Memory Lynn Choi School of Electrical Engineering Motivated by Memory Hierarchy Principles of Locality Speed vs. size vs. cost tradeoff Locality principle Spatial Locality:

More information

Learning Outcomes. An understanding of page-based virtual memory in depth. Including the R3000 s support for virtual memory.

Learning Outcomes. An understanding of page-based virtual memory in depth. Including the R3000 s support for virtual memory. Virtual Memory Learning Outcomes An understanding of page-based virtual memory in depth. Including the R000 s support for virtual memory. Memory Management Unit (or TLB) The position and function of the

More information

CS 152 Computer Architecture and Engineering. Lecture 9 - Address Translation

CS 152 Computer Architecture and Engineering. Lecture 9 - Address Translation CS 152 Computer Architecture and Engineering Lecture 9 - Address Translation Krste Asanovic Electrical Engineering and Computer Sciences University of California at Berkeley http://www.eecs.berkeley.edu/~krste

More information