'Program order' presentation slideshows

Computer Architecture

Computer Architecture. Goal: Build the best possible “processor” Here’s a piece of silicon Here some of its properties Tell me what to build 1. Understand your building blocks 2. Understand what is “best” means 3. Take into account design/production time. Track Record. Evolution?.

1.03k views • 90 slides

Lecture 3: Dynamic ILP

Lecture 3: Dynamic ILP. CS 505: Computer Architecture Spring 2005 Thu D. Nguyen. Recall from Pipelining Lecture. Pipeline CPI = Ideal pipeline CPI + Structural Stalls + Data Hazard Stalls + Control Stalls

1.1k views • 86 slides

March 11, 2002 Prof. David E. Culler Computer Science 252 Spring 2002

CS252 Graduate Computer Architecture Lecture 15: Instruction Level Parallelism and Dynamic Execution. March 11, 2002 Prof. David E. Culler Computer Science 252 Spring 2002. Recall from Pipelining Review.

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Jerry Breecher

OPERATING SYSTEMS PROCESS SYNCHRONIZATION. Jerry Breecher. OPERATING SYSTEM Synchronization. What Is In This Chapter? This is about getting processes to coordinate with each other. How do processes work with resources that must be shared between them?

645 views • 45 slides

Formalizing Memory Consistency Models for Program Analysis

Doctoral Dissertation Defense. Formalizing Memory Consistency Models for Program Analysis. Jason Yue Yang. This work was supported in part by NSF Research Grant No. CCR-0081406 and SRC Task 1031.001. Motivation. Memory architectures - more aggressive. Data dependence. Load/store.

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Computer architecture II

Computer architecture II. Shared Memory Multiprocessors. Outline:. NOW: Bus based shared memory (chapters 5, 6 Culler) Cache Coherence Snooping Cache Coherence Protocols Consistency Synchronization LATER: NUMA machines (chapters 7, 8) Directory based coherency protocols.

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Computer Architecture: A Constructive Approach Six Stage Pipeline/Bypassing Joel Emer

Computer Architecture: A Constructive Approach Six Stage Pipeline/Bypassing Joel Emer Computer Science & Artificial Intelligence Lab. Massachusetts Institute of Technology. Three-Cycle SMIPS: Analysis. Decode/ RegRead / Execute/Memory. Fetch. Writeback. pc. wr.

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COP 4600 Operating Systems Spring 2011

COP 4600 Operating Systems Spring 2011. Dan C. Marinescu Office: HEC 304 Office hours: Tu-Th 5:00-6:00 PM. Last time: Threads Thread state Processor switching - YIELD system call Today: Processor switching Communication with a bounded buffer Next time

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FastTrack : Efficient and Precise Dynamic Race Detection

FastTrack : Efficient and Precise Dynamic Race Detection. Cormac Flanagan and Stephen Freund PLDI 2009 Slides by Michelle Goodstein 07/26/10 . Motivation. Eraser/ LockSet algorithms are fast but imprecise Suffer from false positives

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Is SC + ILP = RC?

Is SC + ILP = RC?. Chris Gniady, Babak Falsafi, and T. N. VijayKumar - Purdue University. Presented by Vamshi Kadaru. Spring 2005: CS 7968 Parallel Computer Architecture. Introduction. Availability of multiprocessors (how to maximize performance?) Atomicity of operations (synchronization)

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Computer Science 425 Distributed Systems CS 425 / CSE 424 / ECE 428 Fall 2010

Computer Science 425 Distributed Systems CS 425 / CSE 424 / ECE 428 Fall 2010. Indranil Gupta (Indy) October 26, 2010 Lecture 19 Replication Control I Reading: Chapter 15 (relevant parts). ? 2010, I . Gupta, K. Nahrtstedt, S. Mitra, N. Vaidya, M. T. Harandi, J. Hou. Replication.

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Lecture 11: Consistency Models

Lecture 11: Consistency Models. Topics: sequential consistency, hw and hw/sw optimizations. Coherence Vs. Consistency. Recall that coherence guarantees (i) that a write will eventually be seen by other processors, and (ii) write

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CS6290 Speculation Recovery

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Shared Memory Consistency Models: A Tutorial By Sarita V Adve and Kourosh Gharachorloo

Shared Memory Consistency Models: A Tutorial By Sarita V Adve and Kourosh Gharachorloo. Presenter: Meenaktchi Venkatachalam. Overview. Memory consistency model Sequential Consistency (SC) model Relaxed Model Programmer centric Relaxed model. Memory Consistent Model.

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Making Sequential Consistency Practical in Titanium

Making Sequential Consistency Practical in Titanium. Amir Kamil and Jimmy Su. Sequential Consistency.

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Memory Consistency in Vector IRAM

Memory Consistency in Vector IRAM. David Martin. The Memory Consistency Model. Consistency model applies to instructions in a single instruction stream (different than multi-processor consistency!). a = after V = vector R = read VP = virtual processor

172 views • 9 slides