'Line size' diaporamas de présentation

Lecture 8. Memory Hierarchy Design I

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New Opportunities with Platform Based Design

New Opportunities with Platform Based Design. Frank Vahid Associate Professor Dept. of Computer Science and Engineering University of California, Riverside Also with the Center for Embedded Computer Systems at UC Irvine http://www.cs.ucr.edu/~vahid

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Cache Design

Cache Design. Cache parameters (organization and placement ) Cache replacement policy Cache performance evaluation method. Cache Parameters. Cache size : S cache (lines) Set number: N (sets) Line number per set: K (lines/set) S cache = KN (lines)

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MECHANICAL ENGINEERING FOR SYSTEM BALANCE

MECHANICAL ENGINEERING FOR SYSTEM BALANCE. ASHRAE MEETING 2/15/2007 NORTHERN NEVADA CHAPTER 126 MATT BRENNAN, TBE. TRIPLE DUTY VALVES. FUNCTIONS SIZING INSTALLATION. FUNCTIONS. SHUTOFF VALVE FLOW CONTROL CHECK VALVE FLOW METERING

399 views • 33 slides

MECHANICAL ENGINEERING FOR SYSTEM BALANCE

MECHANICAL ENGINEERING FOR SYSTEM BALANCE. ASHRAE MEETING 2/15/2007 NORTHERN NEVADA CHAPTER 126 MATT BRENNAN, TBE. TRIPLE DUTY VALVES. FUNCTIONS SIZING INSTALLATION. FUNCTIONS. SHUTOFF VALVE FLOW CONTROL CHECK VALVE FLOW METERING

337 views • 33 slides

Review Quiz

Review Quiz. 1) Why a multicycle implementation can be better than a single cycle implementation. It is less expensive It is usually faster Its average CPI is smaller It allows a faster clock rate It has a simpler design. Answer: 1,2,4 . 2) A pipelined implementation can.

368 views • 28 slides

Automatic Tuning of Two-Level Caches to Embedded Applications

Automatic Tuning of Two-Level Caches to Embedded Applications. Nikil Dutt Center for Embedded Computer Systems School for Information and Computer Science University of California, Irvine. Ann Gordon-Ross and Frank Vahid* Department of Computer Science and Engineering

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Running OpenSSL Crypto Algorithms in Simplescalar

Running OpenSSL Crypto Algorithms in Simplescalar. Piyush Ranjan Satapathy Department of Computer Science & Engineering University of California Riverside. Outline. What Crypto Algorithms are ? Why we need to run them on simplescalar ? Any previous work on this ? Introducing OpenSSL0.9-7e

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Chapter 7 Reports

Chapter 7 Reports. Concatenating Columns. Concatenation the process of combining two or more character columns into a single expression To concatenate type two vertical lines (||) between the column names. Using Concatenation. RTRIM Function.

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Practical Caches

Practical Caches. Learning Objectives. To understand: Additional Control Bits in Cache Lines Cache Line Size Tradeoffs Separate I&D caches Multiple Level Caches. Cache Control Bits. We have, so far, ignored detail of cache initialization.

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Self-Improving Configurable IC Platforms

Self-Improving Configurable IC Platforms. Frank Vahid Associate Professor Dept. of Computer Science and Engineering University of California, Riverside Also with the Center for Embedded Computer Systems at UC Irvine http://www.cs.ucr.edu/~vahid Co-PI: Walid Najjar, Professor, CS&E, UCR.

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Adaptive Cache-Line Size Management on 3D Integrated Microprocessors

Adaptive Cache-Line Size Management on 3D Integrated Microprocessors. ISOCC 2009. Takatsugu Ono, Koji Inoue and Kazuaki Murakami Kyushu University, Japan. Outline. Introduction Software Controllable-Variable Line Size (SC-VLS) Cache Evaluation Summary. 3D Integration.

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Three Papers Related To Credit Risk Modeling

Three Papers Related To Credit Risk Modeling. Discussion by Mark Carey Federal Reserve Board FDIC CFR Conference September, 2006. The opinions expressed herein are my own, not necessarily those of the Board of Governors or the Federal Reserve System.

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Lecture: SMT, Cache Hierarchies

Lecture: SMT, Cache Hierarchies. Topics: SMT processors, cache access basics and innovations (Sections B.1-B.3, 2.1). Thread-Level Parallelism. Motivation: a single thread leaves a processor under-utilized for most of the time

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Lecture: SMT, Cache Hierarchies

Lecture: SMT, Cache Hierarchies. Topics: SMT processors, cache access basics and innovations (Sections B.1-B.3, 2.1). Thread-Level Parallelism. Motivation: a single thread leaves a processor under-utilized for most of the time

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NGDC Metadata Policy

NGDC Metadata Policy. Purpose of Policy Introduction Standards Policies. Purpose of Policy. NGDC is reviewing its information management practices and moving towards a unified plan of record keeping that is consistent throughout The Data Center

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Liability ( Re ) Insurance

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parsing strings

parsing strings. Fred Kuhns Computer Science and Engineering Applied Research laboratory Washington University in St. Louis. Working Example. As software developers we frequently find ourselves needing to parse strings.

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CSE 332: Data Abstractions Memory Hierarchy

CSE 332: Data Abstractions Memory Hierarchy. Richard Anderson Spring 2016. A typical hierarchy. CPU. instructions (e.g., addition): 2 30 /sec get data in L1: 2 29 /sec = 2 insns get data in L2: 2 25 /sec = 30 insns get data in main memory: 2 22 /sec = 250 insns

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Cache Overview

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