The Use of Multithreading for Exception Handling
|
|
- Britton McDaniel
- 5 years ago
- Views:
Transcription
1 The Use of Multithreading for Exception Handling Craig Zilles, Joel Emer*, Guri Sohi University of Wisconsin - Madison *Compaq - Alpha Development Group International Symposium on Microarchitecture - 32 November, 1999
2 Overview Extensions to a multithreaded processor to reclaim lost performance during exception handling in a pipelined, out-oforder processor HARDWARE EXCEPTIONS PERFORMANCE IN TRADITIONAL IMPLEMENTATION IMPORTANT CHARACTERISTICS OF EXCEPTION HANDLERS EXPLOIT THEM WITH EXTENSION TO SMT PROCESSOR METHODOLOGY/PERFORMANCE AN OPTIMIZATION: QUICK-STARTING CONCLUSIONS International Symposium on Microarchitecture - 32, November
3 Hardware exceptions COST-EFFECTIVE HARDWARE UNCOMMON CASE HANDLED BY SOFTWARE RECOVERABLE EXCEPTIONS (NOT SEGFAULTS) TLB miss unaligned access emulated instructions EVENT DETECTED BY HARDWARE, RESOLVED BY SOFTWARE A short piece of code is executed Control is returned to the application at the exception International Symposium on Microarchitecture - 32, November
4 Performance problem MUCH LIKE BRANCH MISPREDICT causes CHANGE IN CONTROL FLOW often DETECTED AT EXECUTE TIME EXCEPTION DETECTED PRE-EXCEPT APPLICATION POST-EXCEPT APPLICATION T I M E SQUASH THE EXCEPTION AND POST-EXCEPTION INSTRUCTIONS PRE-EXCEPT APPLICATION FETCH/EXECUTE EXCEPTION HANDLER PRE-EXCEPT APPLICATION EXCPT. HANDLER REFETCH APPLICATION CODE PRE-EXCEPT APPLICATION EXCPT. HANDLER POST-EXCEPT APPLI DYNAMIC INSTRUCTION STREAM International Symposium on Microarchitecture - 32, November
5 Trends WITH INCREASED PIPELINE LENGTH, SUPERSCALAR WIDTH, AND WINDOW SIZE IT ONLY GETS WORSE STAGE 3 pipe stages 7pipe STAGE stages 11 pipe stages 11 STAGE penalty cycles per TLB miss ALPHADOOM alphadoom applu COMPRESS compress deltablue GCC hydro2dmurphi vortex gcc murphi AVERAGE average APPLU DELTABLUE HYDRO2D VORTEX International Symposium on Microarchitecture - 32, November
6 Structure of Exception Handler RECONVERGENT CONTROL FLOW The same application instructions are executed in the same order INDEPENDENT of the exception handler s execution MINIMAL DATA DEPENDENCES between application and exception handler typically only involving excepting instruction Example: TLB MISS HANDLER reads miss address from privileged register loads from page table writes TLB International Symposium on Microarchitecture - 32, November
7 Extension to SMT processor RECONVERGENT CONTROL FLOW DON T SQUASH ALLOCATE THE HANDLER TO SEPARATE THREAD FIFO management of window resources (within a thread) extra hardware required for ordering threads THREAD #1 PRE-EXCEPT APPLICATION POST-EXCEPT APPLICATION #2 EXCPT. HANDLER PROVIDE APPEARANCE OF SEQUENTIAL EXECUTION Control thread retirement order International Symposium on Microarchitecture - 32, November
8 Extension to SMT processor MINIMAL DATA DEPENDENCES USE SEPARATE REGISTER FILE Avoids additional renamer complexity UNCOMMON CASE (TLB MISS PAGE FAULT CONTEXT SWITCH) REVERT TO NORMAL MECHANISM MEMORY DEPENDENCES DETECT CONFLICTS, RECOVER (MUCH LIKE R10K, OR ARB) International Symposium on Microarchitecture - 32, November
9 Methodology EXAMPLE IMPLEMENTATION: SOFTWARE TLB MISS HANDLING EXECUTION DRIVEN SMT SIMULATOR BUILT FROM ALPHA ARCHITECTURE SIMPLESCALAR TOOLKIT SUPPORTS ENOUGH OF PRIVILEGED ARCHITECTURE TO RUN COMMON-CASE TLB HANDLER O SPECULATIVE EXECUTION, MULTIPLE IN-FLIGHT MISSES 8 WIDE, 128 WINDOW, 7 STAGE, BIG YAGS, 64K L1 S, 1M L2 BENCHMARKS WITH NON-TRIVIAL TLB BEHAVIOR (FROM SPEC AND ELSEWHERE) SCALED DOWN (64 ENTRY) DATA TLB METRIC: PENALTY PER MISS (additional overhead vs. simulation with perfect TLB) / misses International Symposium on Microarchitecture - 32, November
10 Performance DOES MUCH BETTER THAN TRADITIONAL SOFTWARE APPROACH NOT AS GOOD AS AGGRESSIVE HARDWARE TLB MISS WIDGET TRADITIONAL traditional software MULTITHREAD-1 multithreaded(1) MULTITHREAD-3 multithreaded(3) HARDWARE hardware penalty cycles per TLB miss ALPHADOOM alphadoom applu COMPRESS compress deltablue GCC hydro2dmurphi vortexaverage APPLU gcc murphi average DELTABLUE HYDRO2D VORTEX International Symposium on Microarchitecture - 32, November
11 Optimization: Quick-starting PERFORMANCE GAP BETWEEN HARDWARE AND MULTI-THREADED FETCH/DECODE LATENCY SOLUTION: CACHE EXCEPTION HANDLER PARTWAY DOWN PIPELINE OUR SMT IMPLEMENTATION: PER THREAD FETCH BUFFERS, IDLE RESOURCES WHEN THREAD IS IDLE PREDICT NEXT EXCEPTION, USE IDLE FETCH CYCLES TO PREFETCH HANDLER. REDUCES MULTI-THREADED EXCEPTION LATENCY. FETCH FETCH DECODE RENAME REGREAD REGREAD EXECUTE International Symposium on Microarchitecture - 32, November
12 Performance: Quick-starting ALMOST CUTS PERFORMANCE GAP IN HALF 25 MULTI-1 multithreaded(1) QUICKSTART-1 quick start(1) HARDWARE hardware 20 penalty cycles per TLB miss ALPHADOOM alphadoom applu COMPRESS compress deltablue GCC hydro2dmurphi vortexaverage gcc murphi average APPLU DELTABLUE HYDRO2D VORTEX International Symposium on Microarchitecture - 32, November
13 Single Thread Performance vs. Throughput SINGLE APPLICATION: (PREVIOUS RESULTS) FOCUS: IMPROVE SINGLE THREAD PERFORMANCE MULTIPROGRAMED/MULTITHREADED WORKLOAD: FOCUS: MAXIMIZE THROUGHPUT OUR EXPERIMENT: (NOT NECESSARILY A FAIR COMPARISON) RUN 3 APPLICATIONS, 1 IDLE THREAD FOR EXCEPTION HANDLING International Symposium on Microarchitecture - 32, November
14 Performance on Multiprogramed Workloads TRADITIONAL traditional MULTI-1 multithreaded(1) QUICKSTART-1 quick start(1) HARDWARE hardware penalty cycles per TLB miss ADMadm gcc vor ADMapl cmp h2d APL APL apl dbl vor APL CMP dbl gcc h2d DBL adm cmp vor adm h2d mph apl dbl mph cmp gcc mph AVERAGE average CMP GCC H2D CMP DBL DBL GCC GCC VOR VOR MPH H2D MPH VOR MPH H2D PERFORMANCE IS MORE COMPLICATED SMT IS MORE LATENCY TOLERANT SMT IS LESS TOLERANT OF WASTED BANDWIDTH International Symposium on Microarchitecture - 32, November
15 Related Work ARCHITECTURES: M-MACHINE O O FILLO, KECKLER, DALLY, CARTER, CHANG, GUREVICH, LEE KECKLER, DALLY, CHANG, LEE, CHATTERJEE MULTISCALAR/KESTREL SUBORDINATE MULTITHREADING: CHAPPEL, STARK, KIM, REINHART, AND PATT SONG AND DUBOIS International Symposium on Microarchitecture - 32, November
16 Conclusions SIGNIFICANTLY IMPROVES EXCEPTION HANDLING PERFORMANCE: software TLB miss performance approaching that of an aggressive hardware TLB miss performance NOT ALL EXCEPTIONS CAN BE IMPLEMENTED IN HARDWARE HIGH PERFORMANCE EXCEPTIONS ENABLE NOVEL SOFTWARE SYSTEMS a la SOFTWARE DSM or CONCURRENT GC International Symposium on Microarchitecture - 32, November
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 informationECE404 Term Project Sentinel Thread
ECE404 Term Project Sentinel Thread Alok Garg Department of Electrical and Computer Engineering, University of Rochester 1 Introduction Performance degrading events like branch mispredictions and cache
More informationSpeculative Multithreaded Processors
Guri Sohi and Amir Roth Computer Sciences Department University of Wisconsin-Madison utline Trends and their implications Workloads for future processors Program parallelization and speculative threads
More informationComputer Architecture: Multithreading (III) Prof. Onur Mutlu Carnegie Mellon University
Computer Architecture: Multithreading (III) Prof. Onur Mutlu Carnegie Mellon University A Note on This Lecture These slides are partly from 18-742 Fall 2012, Parallel Computer Architecture, Lecture 13:
More informationAR-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 informationComputer Architecture: Multithreading (IV) Prof. Onur Mutlu Carnegie Mellon University
Computer Architecture: Multithreading (IV) Prof. Onur Mutlu Carnegie Mellon University A Note on This Lecture These slides are partly from 18-742 Fall 2012, Parallel Computer Architecture, Lecture 15:
More informationBeyond ILP. Hemanth M Bharathan Balaji. Hemanth M & Bharathan Balaji
Beyond ILP Hemanth M Bharathan Balaji Multiscalar Processors Gurindar S Sohi Scott E Breach T N Vijaykumar Control Flow Graph (CFG) Each node is a basic block in graph CFG divided into a collection of
More informationFall 2012 Parallel Computer Architecture Lecture 15: Speculation I. Prof. Onur Mutlu Carnegie Mellon University 10/10/2012
18-742 Fall 2012 Parallel Computer Architecture Lecture 15: Speculation I Prof. Onur Mutlu Carnegie Mellon University 10/10/2012 Reminder: Review Assignments Was Due: Tuesday, October 9, 11:59pm. Sohi
More informationOne-Level Cache Memory Design for Scalable SMT Architectures
One-Level Cache Design for Scalable SMT Architectures Muhamed F. Mudawar and John R. Wani Computer Science Department The American University in Cairo mudawwar@aucegypt.edu rubena@aucegypt.edu Abstract
More informationDual-Core Execution: Building A Highly Scalable Single-Thread Instruction Window
Dual-Core Execution: Building A Highly Scalable Single-Thread Instruction Window Huiyang Zhou School of Computer Science University of Central Florida New Challenges in Billion-Transistor Processor Era
More informationSpeculative Multithreaded Processors
Guri Sohi and Amir Roth Computer Sciences Department University of Wisconsin-Madison utline Trends and their implications Workloads for future processors Program parallelization and speculative threads
More information15-740/ Computer Architecture Lecture 28: Prefetching III and Control Flow. Prof. Onur Mutlu Carnegie Mellon University Fall 2011, 11/28/11
15-740/18-740 Computer Architecture Lecture 28: Prefetching III and Control Flow Prof. Onur Mutlu Carnegie Mellon University Fall 2011, 11/28/11 Announcements for This Week December 2: Midterm II Comprehensive
More informationHyperthreading Technology
Hyperthreading Technology Aleksandar Milenkovic Electrical and Computer Engineering Department University of Alabama in Huntsville milenka@ece.uah.edu www.ece.uah.edu/~milenka/ Outline What is hyperthreading?
More informationUse-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 information15-740/ Computer Architecture Lecture 10: Runahead and MLP. Prof. Onur Mutlu Carnegie Mellon University
15-740/18-740 Computer Architecture Lecture 10: Runahead and MLP Prof. Onur Mutlu Carnegie Mellon University Last Time Issues in Out-of-order execution Buffer decoupling Register alias tables Physical
More informationSimultaneous Multithreading: a Platform for Next Generation Processors
Simultaneous Multithreading: a Platform for Next Generation Processors Paulo Alexandre Vilarinho Assis Departamento de Informática, Universidade do Minho 4710 057 Braga, Portugal paulo.assis@bragatel.pt
More informationMore on Conjunctive Selection Condition and Branch Prediction
More on Conjunctive Selection Condition and Branch Prediction CS764 Class Project - Fall Jichuan Chang and Nikhil Gupta {chang,nikhil}@cs.wisc.edu Abstract Traditionally, database applications have focused
More informationCS 152 Computer Architecture and Engineering. Lecture 12 - Advanced Out-of-Order Superscalars
CS 152 Computer Architecture and Engineering Lecture 12 - Advanced Out-of-Order Superscalars Dr. George Michelogiannakis EECS, University of California at Berkeley CRD, Lawrence Berkeley National Laboratory
More informationLecture 9: More ILP. Today: limits of ILP, case studies, boosting ILP (Sections )
Lecture 9: More ILP Today: limits of ILP, case studies, boosting ILP (Sections 3.8-3.14) 1 ILP Limits The perfect processor: Infinite registers (no WAW or WAR hazards) Perfect branch direction and target
More informationExecution-based Prediction Using Speculative Slices
Appearing in the 28th Annual International Symposium on Computer Architecture (ISCA 2001), July, 2001. Execution-based Prediction Using Speculative Slices Craig Zilles and Gurindar Sohi Computer Sciences
More informationUnderstanding The Effects of Wrong-path Memory References on Processor Performance
Understanding The Effects of Wrong-path Memory References on Processor Performance Onur Mutlu Hyesoon Kim David N. Armstrong Yale N. Patt The University of Texas at Austin 2 Motivation Processors spend
More informationCS425 Computer Systems Architecture
CS425 Computer Systems Architecture Fall 2017 Thread Level Parallelism (TLP) CS425 - Vassilis Papaefstathiou 1 Multiple Issue CPI = CPI IDEAL + Stalls STRUC + Stalls RAW + Stalls WAR + Stalls WAW + Stalls
More information15-740/ Computer Architecture Lecture 14: Runahead Execution. Prof. Onur Mutlu Carnegie Mellon University Fall 2011, 10/12/2011
15-740/18-740 Computer Architecture Lecture 14: Runahead Execution Prof. Onur Mutlu Carnegie Mellon University Fall 2011, 10/12/2011 Reviews Due Today Chrysos and Emer, Memory Dependence Prediction Using
More information15-740/ 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 informationSpeculative Parallelization in Decoupled Look-ahead
Speculative Parallelization in Decoupled Look-ahead Alok Garg, Raj Parihar, and Michael C. Huang Dept. of Electrical & Computer Engineering University of Rochester, Rochester, NY Motivation Single-thread
More informationFetch Directed Instruction Prefetching
In Proceedings of the 32nd Annual International Symposium on Microarchitecture (MICRO-32), November 1999. Fetch Directed Instruction Prefetching Glenn Reinman y Brad Calder y Todd Austin z y Department
More informationAn 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 informationA Study of Control Independence in Superscalar Processors
A Study of Control Independence in Superscalar Processors Eric Rotenberg, Quinn Jacobson, Jim Smith University of Wisconsin - Madison ericro@cs.wisc.edu, {qjacobso, jes}@ece.wisc.edu Abstract An instruction
More informationPowerPC 620 Case Study
Chapter 6: The PowerPC 60 Modern Processor Design: Fundamentals of Superscalar Processors PowerPC 60 Case Study First-generation out-of-order processor Developed as part of Apple-IBM-Motorola alliance
More information18-447: 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 information15-740/ Computer Architecture Lecture 16: Prefetching Wrap-up. Prof. Onur Mutlu Carnegie Mellon University
15-740/18-740 Computer Architecture Lecture 16: Prefetching Wrap-up Prof. Onur Mutlu Carnegie Mellon University Announcements Exam solutions online Pick up your exams Feedback forms 2 Feedback Survey Results
More informationAdvanced Processor Architecture. Jin-Soo Kim Computer Systems Laboratory Sungkyunkwan University
Advanced Processor Architecture Jin-Soo Kim (jinsookim@skku.edu) Computer Systems Laboratory Sungkyunkwan University http://csl.skku.edu Modern Microprocessors More than just GHz CPU Clock Speed SPECint2000
More informationTDT 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 informationComputer Architecture Lecture 15: Load/Store Handling and Data Flow. Prof. Onur Mutlu Carnegie Mellon University Spring 2014, 2/21/2014
18-447 Computer Architecture Lecture 15: Load/Store Handling and Data Flow Prof. Onur Mutlu Carnegie Mellon University Spring 2014, 2/21/2014 Lab 4 Heads Up Lab 4a out Branch handling and branch predictors
More informationSPECULATIVE 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 informationMultithreaded Processors. Department of Electrical Engineering Stanford University
Lecture 12: Multithreaded Processors Department of Electrical Engineering Stanford University http://eeclass.stanford.edu/ee382a Lecture 12-1 The Big Picture Previous lectures: Core design for single-thread
More informationHigh-Performance Microarchitecture Techniques John Paul Shen Director of Microarchitecture Research Intel Labs
High-Performance Microarchitecture Techniques John Paul Shen Director of Microarchitecture Research Intel Labs October 29, 2002 Microprocessor Research Forum Intel s Microarchitecture Research Labs! USA:
More informationOutline EEL 5764 Graduate Computer Architecture. Chapter 3 Limits to ILP and Simultaneous Multithreading. Overcoming Limits - What do we need??
Outline EEL 7 Graduate Computer Architecture Chapter 3 Limits to ILP and Simultaneous Multithreading! Limits to ILP! Thread Level Parallelism! Multithreading! Simultaneous Multithreading Ann Gordon-Ross
More informationA Study for Branch Predictors to Alleviate the Aliasing Problem
A Study for Branch Predictors to Alleviate the Aliasing Problem Tieling Xie, Robert Evans, and Yul Chu Electrical and Computer Engineering Department Mississippi State University chu@ece.msstate.edu Abstract
More informationBeyond ILP II: SMT and variants. 1 Simultaneous MT: D. Tullsen, S. Eggers, and H. Levy
EE482: Advanced Computer Organization Lecture #13 Processor Architecture Stanford University Handout Date??? Beyond ILP II: SMT and variants Lecture #13: Wednesday, 10 May 2000 Lecturer: Anamaya Sullery
More informationSimultaneous Multithreading Processor
Simultaneous Multithreading Processor Paper presented: Exploiting Choice: Instruction Fetch and Issue on an Implementable Simultaneous Multithreading Processor James Lue Some slides are modified from http://hassan.shojania.com/pdf/smt_presentation.pdf
More informationTechniques for Efficient Processing in Runahead Execution Engines
Techniques for Efficient Processing in Runahead Execution Engines Onur Mutlu Hyesoon Kim Yale N. Patt Depment of Electrical and Computer Engineering University of Texas at Austin {onur,hyesoon,patt}@ece.utexas.edu
More informationEric Rotenberg Karthik Sundaramoorthy, Zach Purser
Karthik Sundaramoorthy, Zach Purser Dept. of Electrical and Computer Engineering North Carolina State University http://www.tinker.ncsu.edu/ericro ericro@ece.ncsu.edu Many means to an end Program is merely
More information250P: Computer Systems Architecture. Lecture 9: Out-of-order execution (continued) Anton Burtsev February, 2019
250P: Computer Systems Architecture Lecture 9: Out-of-order execution (continued) Anton Burtsev February, 2019 The Alpha 21264 Out-of-Order Implementation Reorder Buffer (ROB) Branch prediction and instr
More informationHardware-Based Speculation
Hardware-Based Speculation Execute instructions along predicted execution paths but only commit the results if prediction was correct Instruction commit: allowing an instruction to update the register
More informationMotivation. Banked Register File for SMT Processors. Distributed Architecture. Centralized Architecture
Motivation Banked Register File for SMT Processors Jessica H. Tseng and Krste Asanović MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA 02139, USA BARC2004 Increasing demand on
More informationExploring Efficient SMT Branch Predictor Design
Exploring Efficient SMT Branch Predictor Design Matt Ramsay, Chris Feucht & Mikko H. Lipasti ramsay@ece.wisc.edu, feuchtc@cae.wisc.edu, mikko@engr.wisc.edu Department of Electrical & Computer Engineering
More informationApplications of Thread Prioritization in SMT Processors
Applications of Thread Prioritization in SMT Processors Steven E. Raasch & Steven K. Reinhardt Electrical Engineering and Computer Science Department The University of Michigan 1301 Beal Avenue Ann Arbor,
More informationTDT 4260 lecture 7 spring semester 2015
1 TDT 4260 lecture 7 spring semester 2015 Lasse Natvig, The CARD group Dept. of computer & information science NTNU 2 Lecture overview Repetition Superscalar processor (out-of-order) Dependencies/forwarding
More informationCMSC 411 Computer Systems Architecture Lecture 13 Instruction Level Parallelism 6 (Limits to ILP & Threading)
CMSC 411 Computer Systems Architecture Lecture 13 Instruction Level Parallelism 6 (Limits to ILP & Threading) Limits to ILP Conflicting studies of amount of ILP Benchmarks» vectorized Fortran FP vs. integer
More informationKaisen Lin and Michael Conley
Kaisen Lin and Michael Conley Simultaneous Multithreading Instructions from multiple threads run simultaneously on superscalar processor More instruction fetching and register state Commercialized! DEC
More informationComputer Architecture: Multithreading (I) Prof. Onur Mutlu Carnegie Mellon University
Computer Architecture: Multithreading (I) Prof. Onur Mutlu Carnegie Mellon University A Note on This Lecture These slides are partly from 18-742 Fall 2012, Parallel Computer Architecture, Lecture 9: Multithreading
More information15-740/ 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 informationAlexandria University
Alexandria University Faculty of Engineering Computer and Communications Department CC322: CC423: Advanced Computer Architecture Sheet 3: Instruction- Level Parallelism and Its Exploitation 1. What would
More informationControl Hazards. 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 informationTransient-Fault Recovery Using Simultaneous Multithreading
To appear in Proceedings of the International Symposium on ComputerArchitecture (ISCA), May 2002. Transient-Fault Recovery Using Simultaneous Multithreading T. N. Vijaykumar, Irith Pomeranz, and Karl Cheng
More information15-740/ Computer Architecture Lecture 8: Issues in Out-of-order Execution. Prof. Onur Mutlu Carnegie Mellon University
15-740/18-740 Computer Architecture Lecture 8: Issues in Out-of-order Execution Prof. Onur Mutlu Carnegie Mellon University Readings General introduction and basic concepts Smith and Sohi, The Microarchitecture
More informationChapter 03. Authors: John Hennessy & David Patterson. Copyright 2011, Elsevier Inc. All rights Reserved. 1
Chapter 03 Authors: John Hennessy & David Patterson Copyright 2011, Elsevier Inc. All rights Reserved. 1 Figure 3.3 Comparison of 2-bit predictors. A noncorrelating predictor for 4096 bits is first, followed
More informationSpeculative Lock Elision: Enabling Highly Concurrent Multithreaded Execution
Speculative Lock Elision: Enabling Highly Concurrent Multithreaded Execution Ravi Rajwar and Jim Goodman University of Wisconsin-Madison International Symposium on Microarchitecture, Dec. 2001 Funding
More informationAdvanced Processor Architecture
Advanced Processor Architecture Jinkyu Jeong (jinkyu@skku.edu) Computer Systems Laboratory Sungkyunkwan University http://csl.skku.edu SSE2030: Introduction to Computer Systems, Spring 2018, Jinkyu Jeong
More informationAn In-order SMT Architecture with Static Resource Partitioning for Consumer Applications
An In-order SMT Architecture with Static Resource Partitioning for Consumer Applications Byung In Moon, Hongil Yoon, Ilgu Yun, and Sungho Kang Yonsei University, 134 Shinchon-dong, Seodaemoon-gu, Seoul
More informationMicroarchitecture-Based Introspection: A Technique for Transient-Fault Tolerance in Microprocessors. Moinuddin K. Qureshi Onur Mutlu Yale N.
Microarchitecture-Based Introspection: A Technique for Transient-Fault Tolerance in Microprocessors Moinuddin K. Qureshi Onur Mutlu Yale N. Patt High Performance Systems Group Department of Electrical
More informationHyperthreading 3/25/2008. Hyperthreading. ftp://download.intel.com/technology/itj/2002/volume06issue01/art01_hyper/vol6iss1_art01.
Hyperthreading ftp://download.intel.com/technology/itj/2002/volume06issue01/art01_hyper/vol6iss1_art01.pdf Hyperthreading is a design that makes everybody concerned believe that they are actually using
More informationModule 18: "TLP on Chip: HT/SMT and CMP" Lecture 39: "Simultaneous Multithreading and Chip-multiprocessing" TLP on Chip: HT/SMT and CMP SMT
TLP on Chip: HT/SMT and CMP SMT Multi-threading Problems of SMT CMP Why CMP? Moore s law Power consumption? Clustered arch. ABCs of CMP Shared cache design Hierarchical MP file:///e /parallel_com_arch/lecture39/39_1.htm[6/13/2012
More informationSimultaneous Multithreading (SMT)
#1 Lec # 2 Fall 2003 9-10-2003 Simultaneous Multithreading (SMT) An evolutionary processor architecture originally introduced in 1995 by Dean Tullsen at the University of Washington that aims at reducing
More informationCopyright 2012, Elsevier Inc. All rights reserved.
Computer Architecture A Quantitative Approach, Fifth Edition Chapter 3 Instruction-Level Parallelism and Its Exploitation 1 Branch Prediction Basic 2-bit predictor: For each branch: Predict taken or not
More informationAR-SMT: A Microarchitectural Approach to Fault Tolerance in Microprocessors
AR-SMT: A Microarchitectural Approach to Fault Tolerance in Microprocessors Eric Rotenberg Computer Sciences Department University of Wisconsin - Madison ericro@cs.wisc.edu Abstract This paper speculates
More informationLecture 14: Multithreading
CS 152 Computer Architecture and Engineering Lecture 14: Multithreading John Wawrzynek Electrical Engineering and Computer Sciences University of California, Berkeley http://www.eecs.berkeley.edu/~johnw
More informationData Prefetching by Dependence Graph Precomputation
Data Prefetching by Dependence Graph Precomputation Murali Annavaram, Jignesh M. Patel, Edward S. Davidson Electrical Engineering and Computer Science Department The University of Michigan, Ann Arbor fannavara,
More informationImplicitly-Multithreaded Processors
Implicitly-Multithreaded Processors School of Electrical & Computer Engineering Purdue University {parki,vijay}@ecn.purdue.edu http://min.ecn.purdue.edu/~parki http://www.ece.purdue.edu/~vijay Abstract
More informationCS 152 Computer Architecture and Engineering. Lecture 18: Multithreading
CS 152 Computer Architecture and Engineering Lecture 18: Multithreading Krste Asanovic Electrical Engineering and Computer Sciences University of California, Berkeley http://www.eecs.berkeley.edu/~krste
More informationComputer Architecture A Quantitative Approach, Fifth Edition. Chapter 3. Instruction-Level Parallelism and Its Exploitation
Computer Architecture A Quantitative Approach, Fifth Edition Chapter 3 Instruction-Level Parallelism and Its Exploitation Introduction Pipelining become universal technique in 1985 Overlaps execution of
More informationInstruction-Level Parallelism and Its Exploitation (Part III) ECE 154B Dmitri Strukov
Instruction-Level Parallelism and Its Exploitation (Part III) ECE 154B Dmitri Strukov Dealing With Control Hazards Simplest solution to stall pipeline until branch is resolved and target address is calculated
More information15-740/ Computer Architecture Lecture 5: Precise Exceptions. Prof. Onur Mutlu Carnegie Mellon University
15-740/18-740 Computer Architecture Lecture 5: Precise Exceptions Prof. Onur Mutlu Carnegie Mellon University Last Time Performance Metrics Amdahl s Law Single-cycle, multi-cycle machines Pipelining Stalls
More informationSimultaneous Multithreading and the Case for Chip Multiprocessing
Simultaneous Multithreading and the Case for Chip Multiprocessing John Mellor-Crummey Department of Computer Science Rice University johnmc@rice.edu COMP 522 Lecture 2 10 January 2019 Microprocessor Architecture
More informationFeedback Directed Prefetching: Improving the Performance and Bandwidth-Efficiency of Hardware Prefetchers
Feedback Directed Prefetching: Improving the Performance and Bandwidth-Efficiency of Hardware Prefetchers Microsoft ssri@microsoft.com Santhosh Srinath Onur Mutlu Hyesoon Kim Yale N. Patt Microsoft Research
More informationSimultaneous Multithreading (SMT)
Simultaneous Multithreading (SMT) An evolutionary processor architecture originally introduced in 1995 by Dean Tullsen at the University of Washington that aims at reducing resource waste in wide issue
More information15-740/ 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 informationChip-Multithreading Systems Need A New Operating Systems Scheduler
Chip-Multithreading Systems Need A New Operating Systems Scheduler Alexandra Fedorova Christopher Small Daniel Nussbaum Margo Seltzer Harvard University, Sun Microsystems Sun Microsystems Sun Microsystems
More informationA Study of Slipstream Processors
A Study of Slipstream Processors Zach Purser Karthik Sundaramoorthy Eric Rotenberg North Carolina State University Department of Electrical and Computer Engineering Engineering Graduate Research Center,
More information15-740/ Computer Architecture Lecture 10: Out-of-Order Execution. Prof. Onur Mutlu Carnegie Mellon University Fall 2011, 10/3/2011
5-740/8-740 Computer Architecture Lecture 0: Out-of-Order Execution Prof. Onur Mutlu Carnegie Mellon University Fall 20, 0/3/20 Review: Solutions to Enable Precise Exceptions Reorder buffer History buffer
More informationMaster/Slave Speculative Parallelization
Appears in the proceedings of the 35th International Symposium on Microarchitecture (Micro-35), November 2-22, 22 Master/Slave Speculative Parallelization Craig Zilles Department of Computer Science University
More informationSpeculative Execution for Hiding Memory Latency
Speculative Execution for Hiding Memory Latency Alex Pajuelo, Antonio Gonzalez and Mateo Valero Departament d Arquitectura de Computadors Universitat Politècnica de Catalunya Barcelona-Spain {mpajuelo,
More informationEECS 470. Lecture 18. Simultaneous Multithreading. Fall 2018 Jon Beaumont
Lecture 18 Simultaneous Multithreading Fall 2018 Jon Beaumont http://www.eecs.umich.edu/courses/eecs470 Slides developed in part by Profs. Falsafi, Hill, Hoe, Lipasti, Martin, Roth, Shen, Smith, Sohi,
More informationGetting CPI under 1: Outline
CMSC 411 Computer Systems Architecture Lecture 12 Instruction Level Parallelism 5 (Improving CPI) Getting CPI under 1: Outline More ILP VLIW branch target buffer return address predictor superscalar more
More informationCISC 662 Graduate Computer Architecture Lecture 13 - Limits of ILP
CISC 662 Graduate Computer Architecture Lecture 13 - Limits of ILP Michela Taufer http://www.cis.udel.edu/~taufer/teaching/cis662f07 Powerpoint Lecture Notes from John Hennessy and David Patterson s: Computer
More informationThreaded Multiple Path Execution
Threaded Multiple Path Execution Steven Wallace Brad Calder Dean M. Tullsen Department of Computer Science and Engineering University of California, San Diego fswallace,calder,tullseng@cs.ucsd.edu Abstract
More informationWrong 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 informationUsing a Serial Cache for. Energy Efficient Instruction Fetching
Using a Serial Cache for Energy Efficient Instruction Fetching Glenn Reinman y Brad Calder z y Computer Science Department, University of California, Los Angeles z Department of Computer Science and Engineering,
More informationPre-Computational Thread Paradigm: A Survey
Pre-Computational Thread Paradigm: A Survey Alok Garg Abstract The straight forward solution to exploit high instruction level parallelism is to increase the size of instruction window. Large instruction
More informationDual-Core Execution: Building a Highly Scalable Single-Thread Instruction Window
Dual-Core Execution: Building a Highly Scalable Single-Thread Instruction Window Huiyang Zhou School of Computer Science, University of Central Florida zhou@cs.ucf.edu Abstract Current integration trends
More informationCPI < 1? How? What if dynamic branch prediction is wrong? Multiple issue processors: Speculative Tomasulo Processor
1 CPI < 1? How? From Single-Issue to: AKS Scalar Processors Multiple issue processors: VLIW (Very Long Instruction Word) Superscalar processors No ISA Support Needed ISA Support Needed 2 What if dynamic
More informationEE482: Advanced Computer Organization Lecture #3 Processor Architecture Stanford University Monday, 8 May Branch Prediction
EE482: Advanced Computer Organization Lecture #3 Processor Architecture Stanford University Monday, 8 May 2000 Lecture #3: Wednesday, 5 April 2000 Lecturer: Mattan Erez Scribe: Mahesh Madhav Branch Prediction
More informationCourse II Parallel Computer Architecture. Week 2-3 by Dr. Putu Harry Gunawan
Course II Parallel Computer Architecture Week 2-3 by Dr. Putu Harry Gunawan www.phg-simulation-laboratory.com Review Review Review Review Review Review Review Review Review Review Review Review Processor
More informationComputer Science 146. Computer Architecture
Computer Architecture Spring 2004 Harvard University Instructor: Prof. dbrooks@eecs.harvard.edu Lecture 9: Limits of ILP, Case Studies Lecture Outline Speculative Execution Implementing Precise Interrupts
More informationHigh Performance Systems Group Department of Electrical and Computer Engineering The University of Texas at Austin Austin, Texas
Diverge-Merge Processor (DMP): Dynamic Predicated Execution of Complex Control-Flow Graphs Based on Frequently Executed Paths yesoon Kim José. Joao Onur Mutlu Yale N. Patt igh Performance Systems Group
More informationHandout 2 ILP: Part B
Handout 2 ILP: Part B Review from Last Time #1 Leverage Implicit Parallelism for Performance: Instruction Level Parallelism Loop unrolling by compiler to increase ILP Branch prediction to increase ILP
More informationReconfigurable and Self-optimizing Multicore Architectures. Presented by: Naveen Sundarraj
Reconfigurable and Self-optimizing Multicore Architectures Presented by: Naveen Sundarraj 1 11/9/2012 OUTLINE Introduction Motivation Reconfiguration Performance evaluation Reconfiguration Self-optimization
More informationEfficient Prefetching with Hybrid Schemes and Use of Program Feedback to Adjust Prefetcher Aggressiveness
Journal of Instruction-Level Parallelism 13 (11) 1-14 Submitted 3/1; published 1/11 Efficient Prefetching with Hybrid Schemes and Use of Program Feedback to Adjust Prefetcher Aggressiveness Santhosh Verma
More information