Improving Processor Efficiency Through Enhanced Instruction Fetch

Size: px
Start display at page:

Download "Improving Processor Efficiency Through Enhanced Instruction Fetch"

Transcription

1 Improving Processor Efficiency Through Enhanced Instruction Fetch Stephen Hines Dissertation Advisors: David Whalley and Gary Tyson Department of Computer Science Florida State University March 20, 2008

2 Efficient Processing Mobile computing is everywhere (cell phones, GPS, MP3 players,... ) Balancing device constraints Application performance Power/Energy battery life Code size memory limitations Optimizations often help one area at the expense of another area

3 Fetching Instructions Memory Instructions Processor Instructions need to be fetched from the memory hierarchy before they can be executed Majority of instructions fetched are fairly redundant Repetitive tasks (loops) Programming practices (functions)

4 Exploiting Fetch Behavior The Architect s Toolbox Caching keep recently accessed instructions and data in a faster and smaller memory Speculation guess and fix if wrong My research at FSU Instruction Register File Cache frequent instruction encodings Tagless Hit Instruction Cache Make guarantees instead of speculating

5 Instruction Register File (IRF) Hardware/software approach for lightweight instruction compression/decompression Provides storage (cache) of frequently occurring instructions Instruction packing condenses several instruction register references into a single memory instruction Decreased code size (memory) by 28.83% Reduced overall energy consumption by 15.82% Improved performance by 1.08%

6 Tagless Hit Instruction Cache (TH-IC) Make guarantees about instruction fetch by keeping better track of prior fetch behavior Streamlines the common cases (sequential and branching) Avoids extra performance penalties (6.05%) due to misspeculation by providing a bypass to the L1 instruction cache Reduces overall energy consumption by 27.77% LIFE (Lookahead Instruction Fetch Engine) Extends TH-IC concept to other fetch components Total energy reduced by 34.84%

7 Conclusions Research Achievements Papers at top venues (ISCA 2005, Micro 2005 & 2007,... ) 2 U.S. Patents (IRF + TH-IC) pending NSF Grant (IRF) and 2 GAP proposals funded Working with ARM and Sun, who may incorporate these features into their microprocessors Instruction fetch is an integral part of microprocessor design that can be enhanced through recognition and exploitation of common behaviors What does all of this research mean for you (as a consumer)? Mobile devices have longer battery life without performance degradation and cost less

8 Conclusions Research Achievements Papers at top venues (ISCA 2005, Micro 2005 & 2007,... ) 2 U.S. Patents (IRF + TH-IC) pending NSF Grant (IRF) and 2 GAP proposals funded Working with ARM and Sun, who may incorporate these features into their microprocessors Instruction fetch is an integral part of microprocessor design that can be enhanced through recognition and exploitation of common behaviors What does all of this research mean for you (as a consumer)? Mobile devices have longer battery life without performance degradation and cost less

9 Conclusions Research Achievements Papers at top venues (ISCA 2005, Micro 2005 & 2007,... ) 2 U.S. Patents (IRF + TH-IC) pending NSF Grant (IRF) and 2 GAP proposals funded Working with ARM and Sun, who may incorporate these features into their microprocessors Instruction fetch is an integral part of microprocessor design that can be enhanced through recognition and exploitation of common behaviors What does all of this research mean for you (as a consumer)? Mobile devices have longer battery life without performance degradation and cost less

Reducing Instruction Fetch Cost by Packing Instructions into Register Windows

Reducing Instruction Fetch Cost by Packing Instructions into Register Windows Reducing Instruction Fetch Cost by Packing Instructions into Register Windows Stephen Hines, Gary Tyson, David Whalley Computer Science Dept. Florida State University November 14, 2005 ➊ Introduction Reducing

More information

FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES IMPROVING PROCESSOR EFFICIENCY THROUGH ENHANCED INSTRUCTION FETCH STEPHEN R.

FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES IMPROVING PROCESSOR EFFICIENCY THROUGH ENHANCED INSTRUCTION FETCH STEPHEN R. FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES IMPROVING PROCESSOR EFFICIENCY THROUGH ENHANCED INSTRUCTION FETCH By STEPHEN R. HINES A Dissertation submitted to the Department of Computer Science

More information

Execution-based Prediction Using Speculative Slices

Execution-based Prediction Using Speculative Slices Execution-based Prediction Using Speculative Slices Craig Zilles and Guri Sohi University of Wisconsin - Madison International Symposium on Computer Architecture July, 2001 The Problem Two major barriers

More information

Dynamic Memory Dependence Predication

Dynamic Memory Dependence Predication Dynamic Memory Dependence Predication Zhaoxiang Jin and Soner Önder ISCA-2018, Los Angeles Background 1. Store instructions do not update the cache until they are retired (too late). 2. Store queue is

More information

Memory Hierarchy Basics

Memory Hierarchy Basics Computer Architecture A Quantitative Approach, Fifth Edition Chapter 2 Memory Hierarchy Design 1 Memory Hierarchy Basics Six basic cache optimizations: Larger block size Reduces compulsory misses Increases

More information

Memory Hierarchy Computing Systems & Performance MSc Informatics Eng. Memory Hierarchy (most slides are borrowed)

Memory Hierarchy Computing Systems & Performance MSc Informatics Eng. Memory Hierarchy (most slides are borrowed) Computing Systems & Performance Memory Hierarchy MSc Informatics Eng. 2011/12 A.J.Proença Memory Hierarchy (most slides are borrowed) AJProença, Computer Systems & Performance, MEI, UMinho, 2011/12 1 2

More information

Memory Hierarchy Computing Systems & Performance MSc Informatics Eng. Memory Hierarchy (most slides are borrowed)

Memory Hierarchy Computing Systems & Performance MSc Informatics Eng. Memory Hierarchy (most slides are borrowed) Computing Systems & Performance Memory Hierarchy MSc Informatics Eng. 2012/13 A.J.Proença Memory Hierarchy (most slides are borrowed) AJProença, Computer Systems & Performance, MEI, UMinho, 2012/13 1 2

More information

Lecture 12. Motivation. Designing for Low Power: Approaches. Architectures for Low Power: Transmeta s Crusoe Processor

Lecture 12. Motivation. Designing for Low Power: Approaches. Architectures for Low Power: Transmeta s Crusoe Processor Lecture 12 Architectures for Low Power: Transmeta s Crusoe Processor Motivation Exponential performance increase at a low cost However, for some application areas low power consumption is more important

More information

Memory Hierarchy Basics. Ten Advanced Optimizations. Small and Simple

Memory Hierarchy Basics. Ten Advanced Optimizations. Small and Simple Memory Hierarchy Basics Six basic cache optimizations: Larger block size Reduces compulsory misses Increases capacity and conflict misses, increases miss penalty Larger total cache capacity to reduce miss

More information

Copyright 2012, Elsevier Inc. All rights reserved.

Copyright 2012, Elsevier Inc. All rights reserved. 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

SPECULATIVE MULTITHREADED ARCHITECTURES

SPECULATIVE MULTITHREADED ARCHITECTURES 2 SPECULATIVE MULTITHREADED ARCHITECTURES In this Chapter, the execution model of the speculative multithreading paradigm is presented. This execution model is based on the identification of pairs of instructions

More information

15-740/ Computer Architecture Lecture 22: Superscalar Processing (II) Prof. Onur Mutlu Carnegie Mellon University

15-740/ Computer Architecture Lecture 22: Superscalar Processing (II) Prof. Onur Mutlu Carnegie Mellon University 15-740/18-740 Computer Architecture Lecture 22: Superscalar Processing (II) Prof. Onur Mutlu Carnegie Mellon University Announcements Project Milestone 2 Due Today Homework 4 Out today Due November 15

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

LRU. Pseudo LRU A B C D E F G H A B C D E F G H H H C. Copyright 2012, Elsevier Inc. All rights reserved.

LRU. Pseudo LRU A B C D E F G H A B C D E F G H H H C. Copyright 2012, Elsevier Inc. All rights reserved. LRU A list to keep track of the order of access to every block in the set. The least recently used block is replaced (if needed). How many bits we need for that? 27 Pseudo LRU A B C D E F G H A B C D E

More information

Memory Hierarchy. Advanced Optimizations. Slides contents from:

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

More information

Computer Architecture Review. Jo, Heeseung

Computer Architecture Review. Jo, Heeseung Computer Architecture Review Jo, Heeseung Computer Abstractions and Technology Jo, Heeseung Below Your Program Application software Written in high-level language System software Compiler: translates HLL

More information

Memory Systems IRAM. Principle of IRAM

Memory Systems IRAM. Principle of IRAM Memory Systems 165 other devices of the module will be in the Standby state (which is the primary state of all RDRAM devices) or another state with low-power consumption. The RDRAM devices provide several

More information

Sudhakar Yalamanchili, Georgia Institute of Technology (except as indicated) Active thread Idle thread

Sudhakar Yalamanchili, Georgia Institute of Technology (except as indicated) Active thread Idle thread Intra-Warp Compaction Techniques Sudhakar Yalamanchili, Georgia Institute of Technology (except as indicated) Goal Active thread Idle thread Compaction Compact threads in a warp to coalesce (and eliminate)

More information

Computer Systems Architecture

Computer Systems Architecture Computer Systems Architecture Lecture 12 Mahadevan Gomathisankaran March 4, 2010 03/04/2010 Lecture 12 CSCE 4610/5610 1 Discussion: Assignment 2 03/04/2010 Lecture 12 CSCE 4610/5610 2 Increasing Fetch

More information

COMPUTER ORGANIZATION AND DESI

COMPUTER ORGANIZATION AND DESI COMPUTER ORGANIZATION AND DESIGN 5 Edition th The Hardware/Software Interface Chapter 4 The Processor 4.1 Introduction Introduction CPU performance factors Instruction count Determined by ISA and compiler

More information

Copyright 2012, Elsevier Inc. All rights reserved.

Copyright 2012, Elsevier Inc. All rights reserved. Computer Architecture A Quantitative Approach, Fifth Edition Chapter 2 Memory Hierarchy Design 1 Introduction Introduction Programmers want unlimited amounts of memory with low latency Fast memory technology

More information

Computer Architecture. A Quantitative Approach, Fifth Edition. Chapter 2. Memory Hierarchy Design. Copyright 2012, Elsevier Inc. All rights reserved.

Computer Architecture. A Quantitative Approach, Fifth Edition. Chapter 2. Memory Hierarchy Design. Copyright 2012, Elsevier Inc. All rights reserved. Computer Architecture A Quantitative Approach, Fifth 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

Memory-Link Compression Schemes: A Value Locality Perspective

Memory-Link Compression Schemes: A Value Locality Perspective Memory-Link Compression Schemes: A Value Locality Perspective Martin Thuresson, Lawrence Spracklen and Per Stenström IEEE Presented by Jean Niklas L orange and Caroline Sæhle, for TDT01, Norwegian University

More information

A Performance Degradation Tolerable Cache Design by Exploiting Memory Hierarchies

A Performance Degradation Tolerable Cache Design by Exploiting Memory Hierarchies A Performance Degradation Tolerable Cache Design by Exploiting Memory Hierarchies Abstract: Performance degradation tolerance (PDT) has been shown to be able to effectively improve the yield, reliability,

More information

Wrong Path Events and Their Application to Early Misprediction Detection and Recovery

Wrong Path Events and Their Application to Early Misprediction Detection and Recovery Wrong Path Events and Their Application to Early Misprediction Detection and Recovery David N. Armstrong Hyesoon Kim Onur Mutlu Yale N. Patt University of Texas at Austin Motivation Branch predictors are

More information

Characteristics. Microprocessor Design & Organisation HCA2102. Unit of Transfer. Location. Memory Hierarchy Diagram

Characteristics. Microprocessor Design & Organisation HCA2102. Unit of Transfer. Location. Memory Hierarchy Diagram Microprocessor Design & Organisation HCA2102 Cache Memory Characteristics Location Unit of transfer Access method Performance Physical type Physical Characteristics UTM-RHH Slide Set 5 2 Location Internal

More information

18-447: Computer Architecture Lecture 23: Tolerating Memory Latency II. Prof. Onur Mutlu Carnegie Mellon University Spring 2012, 4/18/2012

18-447: Computer Architecture Lecture 23: Tolerating Memory Latency II. Prof. Onur Mutlu Carnegie Mellon University Spring 2012, 4/18/2012 18-447: Computer Architecture Lecture 23: Tolerating Memory Latency II Prof. Onur Mutlu Carnegie Mellon University Spring 2012, 4/18/2012 Reminder: Lab Assignments Lab Assignment 6 Implementing a more

More information

FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES A PRESENTATION AND LOW-LEVEL ENERGY USAGE ANALYSIS OF TWO LOW-POWER ARCHITECTURAL TECHNIQUES

FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES A PRESENTATION AND LOW-LEVEL ENERGY USAGE ANALYSIS OF TWO LOW-POWER ARCHITECTURAL TECHNIQUES FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES A PRESENTATION AND LOW-LEVEL ENERGY USAGE ANALYSIS OF TWO LOW-POWER ARCHITECTURAL TECHNIQUES By PETER GAVIN A Dissertation submitted to the Department

More information

Computer & Microprocessor Architecture HCA103

Computer & Microprocessor Architecture HCA103 Computer & Microprocessor Architecture HCA103 Cache Memory UTM-RHH Slide Set 4 1 Characteristics Location Capacity Unit of transfer Access method Performance Physical type Physical characteristics Organisation

More information

Computer Architecture: Branch Prediction. Prof. Onur Mutlu Carnegie Mellon University

Computer Architecture: Branch Prediction. Prof. Onur Mutlu Carnegie Mellon University Computer Architecture: Branch Prediction Prof. Onur Mutlu Carnegie Mellon University A Note on This Lecture These slides are partly from 18-447 Spring 2013, Computer Architecture, Lecture 11: Branch Prediction

More information

Architectures for Instruction-Level Parallelism

Architectures for Instruction-Level Parallelism Low Power VLSI System Design Lecture : Low Power Microprocessor Design Prof. R. Iris Bahar October 0, 07 The HW/SW Interface Seminar Series Jointly sponsored by Engineering and Computer Science Hardware-Software

More information

Computer Architecture A Quantitative Approach, Fifth Edition. Chapter 2. Memory Hierarchy Design. Copyright 2012, Elsevier Inc. All rights reserved.

Computer Architecture A Quantitative Approach, Fifth Edition. Chapter 2. Memory Hierarchy Design. Copyright 2012, Elsevier Inc. All rights reserved. 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

TDT Coarse-Grained Multithreading. Review on ILP. Multi-threaded execution. Contents. Fine-Grained Multithreading

TDT Coarse-Grained Multithreading. Review on ILP. Multi-threaded execution. Contents. Fine-Grained Multithreading Review on ILP TDT 4260 Chap 5 TLP & Hierarchy What is ILP? Let the compiler find the ILP Advantages? Disadvantages? Let the HW find the ILP Advantages? Disadvantages? Contents Multi-threading Chap 3.5

More information

Portland State University ECE 587/687. Caches and Prefetching

Portland State University ECE 587/687. Caches and Prefetching Portland State University ECE 587/687 Caches and Prefetching Copyright by Alaa Alameldeen and Haitham Akkary 2008 Impact of Cache Misses Cache misses are very expensive Blocking cache: severely reduce

More information

4.1 Introduction 4.3 Datapath 4.4 Control 4.5 Pipeline overview 4.6 Pipeline control * 4.7 Data hazard & forwarding * 4.

4.1 Introduction 4.3 Datapath 4.4 Control 4.5 Pipeline overview 4.6 Pipeline control * 4.7 Data hazard & forwarding * 4. Chapter 4: CPU 4.1 Introduction 4.3 Datapath 4.4 Control 4.5 Pipeline overview 4.6 Pipeline control * 4.7 Data hazard & forwarding * 4.8 Control hazard 4.14 Concluding Rem marks Hazards Situations that

More information

An Analysis of the Performance Impact of Wrong-Path Memory References on Out-of-Order and Runahead Execution Processors

An Analysis of the Performance Impact of Wrong-Path Memory References on Out-of-Order and Runahead Execution Processors An Analysis of the Performance Impact of Wrong-Path Memory References on Out-of-Order and Runahead Execution Processors Onur Mutlu Hyesoon Kim David N. Armstrong Yale N. Patt High Performance Systems Group

More information

Addressing Instruction Fetch Bottlenecks by Using an Instruction Register File

Addressing Instruction Fetch Bottlenecks by Using an Instruction Register File Addressing Instruction Fetch Bottlenecks by Using an Instruction Register File Stephen Hines Gary Tyson David Whalley Computer Science Dept. Florida State University Tallahassee, FL, 32306-4530 {hines,tyson,whalley}@cs.fsu.edu

More information

Lecture 16: Checkpointed Processors. Department of Electrical Engineering Stanford University

Lecture 16: Checkpointed Processors. Department of Electrical Engineering Stanford University Lecture 16: Checkpointed Processors Department of Electrical Engineering Stanford University http://eeclass.stanford.edu/ee382a Lecture 18-1 Announcements Reading for today: class notes Your main focus:

More information

Adapted from David Patterson s slides on graduate computer architecture

Adapted from David Patterson s slides on graduate computer architecture Mei Yang Adapted from David Patterson s slides on graduate computer architecture Introduction Ten Advanced Optimizations of Cache Performance Memory Technology and Optimizations Virtual Memory and Virtual

More information

Cache Memory - II. Some of the slides are adopted from David Patterson (UCB)

Cache Memory - II. Some of the slides are adopted from David Patterson (UCB) Cache Memory - II Some of the slides are adopted from David Patterson (UCB) Outline Direct-Mapped Cache Types of Cache Misses A (long) detailed example Peer - to - peer education example Block Size Tradeoff

More information

Speculation and Future-Generation Computer Architecture

Speculation and Future-Generation Computer Architecture Speculation and Future-Generation Computer Architecture University of Wisconsin Madison URL: http://www.cs.wisc.edu/~sohi Outline Computer architecture and speculation control, dependence, value speculation

More information

ARCHITECTURAL APPROACHES TO REDUCE LEAKAGE ENERGY IN CACHES

ARCHITECTURAL APPROACHES TO REDUCE LEAKAGE ENERGY IN CACHES ARCHITECTURAL APPROACHES TO REDUCE LEAKAGE ENERGY IN CACHES Shashikiran H. Tadas & Chaitali Chakrabarti Department of Electrical Engineering Arizona State University Tempe, AZ, 85287. tadas@asu.edu, chaitali@asu.edu

More information

15-740/ Computer Architecture Lecture 21: Superscalar Processing. Prof. Onur Mutlu Carnegie Mellon University

15-740/ Computer Architecture Lecture 21: Superscalar Processing. Prof. Onur Mutlu Carnegie Mellon University 15-740/18-740 Computer Architecture Lecture 21: Superscalar Processing Prof. Onur Mutlu Carnegie Mellon University Announcements Project Milestone 2 Due November 10 Homework 4 Out today Due November 15

More information

Micro-Architectural Attacks and Countermeasures

Micro-Architectural Attacks and Countermeasures Micro-Architectural Attacks and Countermeasures Çetin Kaya Koç koc@cs.ucsb.edu Çetin Kaya Koç http://koclab.org Winter 2017 1 / 25 Contents Micro-Architectural Attacks Cache Attacks Branch Prediction Attack

More information

CS 265. Computer Architecture. Wei Lu, Ph.D., P.Eng.

CS 265. Computer Architecture. Wei Lu, Ph.D., P.Eng. CS 265 Computer Architecture Wei Lu, Ph.D., P.Eng. Part 4: Memory Organization Our goal: understand the basic types of memory in computer understand memory hierarchy and the general process to access memory

More information

EI338: Computer Systems and Engineering (Computer Architecture & Operating Systems)

EI338: Computer Systems and Engineering (Computer Architecture & Operating Systems) EI338: Computer Systems and Engineering (Computer Architecture & Operating Systems) Chentao Wu 吴晨涛 Associate Professor Dept. of Computer Science and Engineering Shanghai Jiao Tong University SEIEE Building

More information

FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES A PRESENTATION AND LOW-LEVEL ENERGY USAGE ANALYSIS OF TWO LOW-POWER ARCHITECTURAL TECHNIQUES

FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES A PRESENTATION AND LOW-LEVEL ENERGY USAGE ANALYSIS OF TWO LOW-POWER ARCHITECTURAL TECHNIQUES FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES A PRESENTATION AND LOW-LEVEL ENERGY USAGE ANALYSIS OF TWO LOW-POWER ARCHITECTURAL TECHNIQUES By PETER GAVIN A Dissertation submitted to the Department

More information

SRAMs to Memory. Memory Hierarchy. Locality. Low Power VLSI System Design Lecture 10: Low Power Memory Design

SRAMs to Memory. Memory Hierarchy. Locality. Low Power VLSI System Design Lecture 10: Low Power Memory Design SRAMs to Memory Low Power VLSI System Design Lecture 0: Low Power Memory Design Prof. R. Iris Bahar October, 07 Last lecture focused on the SRAM cell and the D or D memory architecture built from these

More information

Banked Multiported Register Files for High-Frequency Superscalar Microprocessors

Banked Multiported Register Files for High-Frequency Superscalar Microprocessors Banked Multiported Register Files for High-Frequency Superscalar Microprocessors Jessica H. T seng and Krste Asanoviü MIT Laboratory for Computer Science, Cambridge, MA 02139, USA ISCA2003 1 Motivation

More information

Improving Program Efficiency by Packing Instructions into Registers

Improving Program Efficiency by Packing Instructions into Registers Improving Program Efficiency by Packing Instructions into Registers Stephen Hines, Joshua Green, Gary Tyson and David Whalley Florida State University Computer Science Dept. Tallahassee, Florida 32306-4530

More information

Module 10: "Design of Shared Memory Multiprocessors" Lecture 20: "Performance of Coherence Protocols" MOESI protocol.

Module 10: Design of Shared Memory Multiprocessors Lecture 20: Performance of Coherence Protocols MOESI protocol. MOESI protocol Dragon protocol State transition Dragon example Design issues General issues Evaluating protocols Protocol optimizations Cache size Cache line size Impact on bus traffic Large cache line

More information

LECTURE 5: MEMORY HIERARCHY DESIGN

LECTURE 5: MEMORY HIERARCHY DESIGN LECTURE 5: MEMORY HIERARCHY DESIGN Abridged version of Hennessy & Patterson (2012):Ch.2 Introduction Programmers want unlimited amounts of memory with low latency Fast memory technology is more expensive

More information

Keywords Cache mapping technique, Cache optimization, Cache miss, Cache Hit, Miss Penalty

Keywords Cache mapping technique, Cache optimization, Cache miss, Cache Hit, Miss Penalty Volume 3, Issue 9, September 2013 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Survey on

More information

Announcements. ECE4750/CS4420 Computer Architecture L6: Advanced Memory Hierarchy. Edward Suh Computer Systems Laboratory

Announcements. ECE4750/CS4420 Computer Architecture L6: Advanced Memory Hierarchy. Edward Suh Computer Systems Laboratory ECE4750/CS4420 Computer Architecture L6: Advanced Memory Hierarchy Edward Suh Computer Systems Laboratory suh@csl.cornell.edu Announcements Lab 1 due today Reading: Chapter 5.1 5.3 2 1 Overview How to

More information

On the Interplay of Loop Caching, Code Compression, and Cache Configuration

On the Interplay of Loop Caching, Code Compression, and Cache Configuration On the Interplay of Loop Caching, Code Compression, and Cache Configuration Marisha Rawlins and Ann Gordon-Ross* Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL

More information

Estimating Multimedia Instruction Performance Based on Workload Characterization and Measurement

Estimating Multimedia Instruction Performance Based on Workload Characterization and Measurement Estimating Multimedia Instruction Performance Based on Workload Characterization and Measurement Adil Gheewala*, Jih-Kwon Peir*, Yen-Kuang Chen**, Konrad Lai** *Department of CISE, University of Florida,

More information

A Low Power Front-End for Embedded Processors Using a Block-Aware Instruction Set

A Low Power Front-End for Embedded Processors Using a Block-Aware Instruction Set A Low Power Front-End for Embedded Processors Using a Block-Aware Instruction Set Ahmad Zmily and Christos Kozyrakis Electrical Engineering Department, Stanford University Stanford, CA 94305, USA zmily@stanford.edu,

More information

THE FLORIDA STATE UNIVERSITY COLLEGE OF ART & SCIENCES REDUCING THE WCET OF APPLICATIONS ON LOW END EMBEDDED SYSTEMS WANKANG ZHAO

THE FLORIDA STATE UNIVERSITY COLLEGE OF ART & SCIENCES REDUCING THE WCET OF APPLICATIONS ON LOW END EMBEDDED SYSTEMS WANKANG ZHAO THE FLORIDA STATE UNIVERSITY COLLEGE OF ART & SCIENCES REDUCING THE WCET OF APPLICATIONS ON LOW END EMBEDDED SYSTEMS By WANKANG ZHAO A Dissertation submitted to the Department of Computer Science in partial

More information

Wisconsin Computer Architecture. Nam Sung Kim

Wisconsin Computer Architecture. Nam Sung Kim Wisconsin Computer Architecture Mark Hill Nam Sung Kim Mikko Lipasti Karu Sankaralingam Guri Sohi David Wood Technology & Moore s Law 35nm Transistor 1947 Moore s Law 1964: Integrated Circuit 1958 Transistor

More information

Use-Based Register Caching with Decoupled Indexing

Use-Based Register Caching with Decoupled Indexing Use-Based Register Caching with Decoupled Indexing J. Adam Butts and Guri Sohi University of Wisconsin Madison {butts,sohi}@cs.wisc.edu ISCA-31 München, Germany June 23, 2004 Motivation Need large register

More information

EEC 581 Computer Architecture. Lec 11 Synchronization and Memory Consistency Models (4.5 & 4.6)

EEC 581 Computer Architecture. Lec 11 Synchronization and Memory Consistency Models (4.5 & 4.6) EEC 581 Computer rchitecture Lec 11 Synchronization and Memory Consistency Models (4.5 & 4.6) Chansu Yu Electrical and Computer Engineering Cleveland State University cknowledgement Part of class notes

More information

Computer and Hardware Architecture I. Benny Thörnberg Associate Professor in Electronics

Computer and Hardware Architecture I. Benny Thörnberg Associate Professor in Electronics Computer and Hardware Architecture I Benny Thörnberg Associate Professor in Electronics Hardware architecture Computer architecture The functionality of a modern computer is so complex that no human can

More information

Lecture 1 An Overview of High-Performance Computer Architecture. Automobile Factory (note: non-animated version)

Lecture 1 An Overview of High-Performance Computer Architecture. Automobile Factory (note: non-animated version) Lecture 1 An Overview of High-Performance Computer Architecture ECE 463/521 Fall 2002 Edward F. Gehringer Automobile Factory (note: non-animated version) Automobile Factory (note: non-animated version)

More information

15-740/ Computer Architecture Lecture 23: Superscalar Processing (III) Prof. Onur Mutlu Carnegie Mellon University

15-740/ Computer Architecture Lecture 23: Superscalar Processing (III) Prof. Onur Mutlu Carnegie Mellon University 15-740/18-740 Computer Architecture Lecture 23: Superscalar Processing (III) Prof. Onur Mutlu Carnegie Mellon University Announcements Homework 4 Out today Due November 15 Midterm II November 22 Project

More information

Nonblocking Memory Refresh. Kate Nguyen, Kehan Lyu, Xianze Meng, Vilas Sridharan, Xun Jian

Nonblocking Memory Refresh. Kate Nguyen, Kehan Lyu, Xianze Meng, Vilas Sridharan, Xun Jian Nonblocking Memory Refresh Kate Nguyen, Kehan Lyu, Xianze Meng, Vilas Sridharan, Xun Jian Latency (ns) History of DRAM 2 Refresh Latency Bus Cycle Time Min. Read Latency 512 550 16 13.5 0.5 0.75 1968 DRAM

More information

A Key Theme of CIS 371: Parallelism. CIS 371 Computer Organization and Design. Readings. This Unit: (In-Order) Superscalar Pipelines

A Key Theme of CIS 371: Parallelism. CIS 371 Computer Organization and Design. Readings. This Unit: (In-Order) Superscalar Pipelines A Key Theme of CIS 371: arallelism CIS 371 Computer Organization and Design Unit 10: Superscalar ipelines reviously: pipeline-level parallelism Work on execute of one instruction in parallel with decode

More information

Computer Architecture Today (I)

Computer Architecture Today (I) Fundamental Concepts and ISA Computer Architecture Today (I) Today is a very exciting time to study computer architecture Industry is in a large paradigm shift (to multi-core and beyond) many different

More information

Data Speculation. Architecture. Carnegie Mellon School of Computer Science

Data Speculation. Architecture. Carnegie Mellon School of Computer Science Data Speculation Adam Wierman Daniel Neill Lipasti and Shen. Exceeding the dataflow limit, 1996. Sodani and Sohi. Understanding the differences between value prediction and instruction reuse, 1998. 1 A

More information

William Stallings Computer Organization and Architecture 8th Edition. Cache Memory

William Stallings Computer Organization and Architecture 8th Edition. Cache Memory William Stallings Computer Organization and Architecture 8th Edition Chapter 4 Cache Memory Characteristics Location Capacity Unit of transfer Access method Performance Physical type Physical characteristics

More information

Memory Hierarchy Management for Iterative Graph Structures

Memory Hierarchy Management for Iterative Graph Structures Memory Hierarchy Management for Iterative Graph Structures Ibraheem Al-Furaih y Syracuse University Sanjay Ranka University of Florida Abstract The increasing gap in processor and memory speeds has forced

More information

Constructing Virtual Architectures on Tiled Processors. David Wentzlaff Anant Agarwal MIT

Constructing Virtual Architectures on Tiled Processors. David Wentzlaff Anant Agarwal MIT Constructing Virtual Architectures on Tiled Processors David Wentzlaff Anant Agarwal MIT 1 Emulators and JITs for Multi-Core David Wentzlaff Anant Agarwal MIT 2 Why Multi-Core? 3 Why Multi-Core? Future

More information

Reducing Instruction Fetch Energy in Multi-Issue Processors

Reducing Instruction Fetch Energy in Multi-Issue Processors Reducing Instruction Fetch Energy in Multi-Issue Processors PETER GAVIN, DAVID WHALLEY, and MAGNUS SJÄLANDER, Florida State University The need to minimize power while maximizing performance has led to

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

ECE 2162 Intro & Trends. Jun Yang Fall 2009

ECE 2162 Intro & Trends. Jun Yang Fall 2009 ECE 2162 Intro & Trends Jun Yang Fall 2009 Prerequisites CoE/ECE 0142: Computer Organization; or CoE/CS 1541: Introduction to Computer Architecture I will assume you have detailed knowledge of Pipelining

More information

Simulation Of Computer Systems. Prof. S. Shakya

Simulation Of Computer Systems. Prof. S. Shakya Simulation Of Computer Systems Prof. S. Shakya Purpose & Overview Computer systems are composed from timescales flip (10-11 sec) to time a human interacts (seconds) It is a multi level system Different

More information

Computer Architecture

Computer Architecture Computer Architecture Lecture 1: Introduction and Basics Dr. Ahmed Sallam Suez Canal University Spring 2016 Based on original slides by Prof. Onur Mutlu I Hope You Are Here for This Programming How does

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

AR-SMT: A Microarchitectural Approach to Fault Tolerance in Microprocessors

AR-SMT: A Microarchitectural Approach to Fault Tolerance in Microprocessors AR-SMT: A Microarchitectural Approach to Fault Tolerance in Microprocessors Computer Sciences Department University of Wisconsin Madison http://www.cs.wisc.edu/~ericro/ericro.html ericro@cs.wisc.edu High-Performance

More information

NOW Handout Page 1. Memory Consistency Model. Background for Debate on Memory Consistency Models. Multiprogrammed Uniprocessor Mem.

NOW Handout Page 1. Memory Consistency Model. Background for Debate on Memory Consistency Models. Multiprogrammed Uniprocessor Mem. Memory Consistency Model Background for Debate on Memory Consistency Models CS 258, Spring 99 David E. Culler Computer Science Division U.C. Berkeley for a SAS specifies constraints on the order in which

More information

Improve performance by increasing instruction throughput

Improve performance by increasing instruction throughput Improve performance by increasing instruction throughput Program execution order Time (in instructions) lw $1, 100($0) fetch 2 4 6 8 10 12 14 16 18 ALU Data access lw $2, 200($0) 8ns fetch ALU Data access

More information

Low-Complexity Reorder Buffer Architecture*

Low-Complexity Reorder Buffer Architecture* Low-Complexity Reorder Buffer Architecture* Gurhan Kucuk, Dmitry Ponomarev, Kanad Ghose Department of Computer Science State University of New York Binghamton, NY 13902-6000 http://www.cs.binghamton.edu/~lowpower

More information

Control Hazards. Branch Prediction

Control Hazards. Branch Prediction Control Hazards The nub of the problem: In what pipeline stage does the processor fetch the next instruction? If that instruction is a conditional branch, when does the processor know whether the conditional

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

ECE260: Fundamentals of Computer Engineering

ECE260: Fundamentals of Computer Engineering Pipelining James Moscola Dept. of Engineering & Computer Science York College of Pennsylvania Based on Computer Organization and Design, 5th Edition by Patterson & Hennessy What is Pipelining? Pipelining

More information

WHOLE: A Low Energy I-Cache with Separate Way History

WHOLE: A Low Energy I-Cache with Separate Way History WHOLE: A Low Energy I- with Separate Way History Zichao Xie, Dong Tong, Xu Cheng Microprocessor Research & Development Center, Peking University, Beijing, China {xiezichao, tongdong, chengxu}@mprc.pku.edu.cn

More information

CS 152, Spring 2011 Section 8

CS 152, Spring 2011 Section 8 CS 152, Spring 2011 Section 8 Christopher Celio University of California, Berkeley Agenda Grades Upcoming Quiz 3 What it covers OOO processors VLIW Branch Prediction Intel Core 2 Duo (Penryn) Vs. NVidia

More information

Cache Optimization. Jin-Soo Kim Computer Systems Laboratory Sungkyunkwan University

Cache Optimization. Jin-Soo Kim Computer Systems Laboratory Sungkyunkwan University Cache Optimization Jin-Soo Kim (jinsookim@skku.edu) Computer Systems Laboratory Sungkyunkwan University http://csl.skku.edu Cache Misses On cache hit CPU proceeds normally On cache miss Stall the CPU pipeline

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

Analysis of Cache Configurations and Cache Hierarchies Incorporating Various Device Technologies over the Years

Analysis of Cache Configurations and Cache Hierarchies Incorporating Various Device Technologies over the Years Analysis of Cache Configurations and Cache Hierarchies Incorporating Various Technologies over the Years Sakeenah Khan EEL 30C: Computer Organization Summer Semester Department of Electrical and Computer

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

ECE 571 Advanced Microprocessor-Based Design Lecture 4

ECE 571 Advanced Microprocessor-Based Design Lecture 4 ECE 571 Advanced Microprocessor-Based Design Lecture 4 Vince Weaver http://www.eece.maine.edu/~vweaver vincent.weaver@maine.edu 28 January 2016 Homework #1 was due Announcements Homework #2 will be posted

More information

Chapter 4. Instruction Execution. Introduction. CPU Overview. Multiplexers. Chapter 4 The Processor 1. The Processor.

Chapter 4. Instruction Execution. Introduction. CPU Overview. Multiplexers. Chapter 4 The Processor 1. The Processor. COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface 5 th Edition COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface 5 th Edition Chapter 4 The Processor The Processor - Introduction

More information

COMPUTER ORGANIZATION AND DESIGN. 5 th Edition. The Hardware/Software Interface. Chapter 4. The Processor

COMPUTER ORGANIZATION AND DESIGN. 5 th Edition. The Hardware/Software Interface. Chapter 4. The Processor COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface 5 th Edition Chapter 4 The Processor COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface 5 th Edition The Processor - Introduction

More information

EECS 470. Lecture 15. Prefetching. Fall 2018 Jon Beaumont. History Table. Correlating Prediction Table

EECS 470. Lecture 15. Prefetching. Fall 2018 Jon Beaumont.   History Table. Correlating Prediction Table Lecture 15 History Table Correlating Prediction Table Prefetching Latest A0 A0,A1 A3 11 Fall 2018 Jon Beaumont A1 http://www.eecs.umich.edu/courses/eecs470 Prefetch A3 Slides developed in part by Profs.

More information

Embedded Systems: Hardware Components (part I) Todor Stefanov

Embedded Systems: Hardware Components (part I) Todor Stefanov Embedded Systems: Hardware Components (part I) Todor Stefanov Leiden Embedded Research Center Leiden Institute of Advanced Computer Science Leiden University, The Netherlands Outline Generic Embedded System

More information

COMPUTER ORGANIZATION AND DESIGN. 5 th Edition. The Hardware/Software Interface. Chapter 4. The Processor

COMPUTER ORGANIZATION AND DESIGN. 5 th Edition. The Hardware/Software Interface. Chapter 4. The Processor COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface 5 th Edition Chapter 4 The Processor Introduction CPU performance factors Instruction count Determined by ISA and compiler CPI and Cycle

More information

New Dimensions in Microarchitecture Harnessing 3D Integration Technologies

New Dimensions in Microarchitecture Harnessing 3D Integration Technologies New Dimensions in Microarchitecture Harnessing 3D Integration Technologies Kerry Bernstein IBM T.J. Watson Research Center Yorktown Heights, NY 6 March, 27 San Jose, California DARPA Microsystems Technology

More information

The Algebraic Specification of Multi-core and Multi-threaded Microprocessors

The Algebraic Specification of Multi-core and Multi-threaded Microprocessors The Algebraic Specification of Multi-core and Multi-threaded Microprocessors Interim Document Sean Handley, February 2007 Abstract In addition to decreasing latency by increasing clock speeds, modern microprocessor

More information

Lec 11 How to improve cache performance

Lec 11 How to improve cache performance Lec 11 How to improve cache performance How to Improve Cache Performance? AMAT = HitTime + MissRate MissPenalty 1. Reduce the time to hit in the cache.--4 small and simple caches, avoiding address translation,

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