'Static scheduling' diaporamas de présentation

Duke Compsci 220 / ECE 252 Advanced Computer Architecture I

Duke Compsci 220 / ECE 252 Advanced Computer Architecture I. Prof. Alvin R. Lebeck Dynamic Scheduling I. Slides developed by Amir Roth of University of Pennsylvania with sources that included University of Wisconsin slides by Mark Hill, Guri Sohi , Jim Smith, and David Wood.

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An Efficient Compilation Framework for Languages Based on a Concurrent Process Calculus

An Efficient Compilation Framework for Languages Based on a Concurrent Process Calculus. Yoshihiro Oyama Kenjiro Taura Akinori Yonezawa Yonezawa Laboratory Department of Information Science University of Tokyo. many primitives. surface language. several essential primitives.

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Scheduling of Distributed Real-Time Systems

Scheduling of Distributed Real-Time Systems. Jan Madsen Informatics and Mathematical Modelling Technical University of Denmark Richard Petersens Plads, Building 321 DK2800 Lyngby, Denmark Jan@imm.dtu.dk. 1. 3. 2. 1. 2. 4. 3. 4. os. os. scheduling. a. b. mem. a. b. mem.

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The EPIC-VLIW Approach

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RAW

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Scheduling for Embedded Real-Time Systems

Scheduling for Embedded Real-Time Systems. Amit Mahajan and Haibo. Overview. Real-Time Systems Scheduling problem in Real-Time Systems Control Dominated Systems Dataflow Systems Conclusions. Real-Time Systems. Are composed of several distinct cooperating tasks

193 views • 18 slides

CS718 : VLIW - Software Driven ILP

CS718 : VLIW - Software Driven ILP. Introduction 23rd Mar, 2006. Outline. Pipeline scheduling and loop unrolling Branch prediction with static scheduling Basic VLIW approach Detecting and enhancing loop level parallelism Software pipelining Global scheduling Hardware support

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Computer Architecture Principles Dr. Mike Frank

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EE5900 Cyber-Physical Systems

EE5900 Cyber-Physical Systems. Embedded System Fundamentals. Definition. Real-time embedded systems are defined as those systems in which the correctness of the system depends not only on the logical result of computation, but also on the time at which the results are produced.

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Dynamic Scheduling How have we dealt with data hazards so far?

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