'Dataflow graph' diaporamas de présentation

CS184b: Computer Architecture (Abstractions and Optimizations)

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Many-core processors: the integrated approach to the computational and execution models

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TensorFlow ??????

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Reconfigurable Computing

Reconfigurable Computing. Dr. Christophe Bobda CSCE Department University of Arkansas. Chapter 4 High-Level Synthesis for Reconfigurable Devices. Agenda. Modeling Dataflow graphs Sequencing graphs Finite State Machine with Datapath High-level synthesis and Temporal partitioning

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Compiling for Coarse-Grained Adaptable Architectures

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Custom Instruction Generation Using Temporal Partitioning Techniques for a R econfigurable Functional Unit

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Presenter

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Q uantitative E valuation of E mbedded S ystems

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JHDL Hardware Generation

JHDL Hardware Generation. Mike Wirthlin and Matthew Koecher (wirthlin,koechemr@ee.byu.edu) Brigham Young University. Motivation. Synthesizing Hardware from Synchronous Data Flow (SDF) Specifications SDF models provide natural algorithm concurrency SDF models are statically scheduled

316 views • 25 slides

JHDL Hardware Generation

JHDL Hardware Generation. Mike Wirthlin and Matthew Koecher (wirthlin,koechemr@ee.byu.edu) Brigham Young University. Motivation. Synthesizing Hardware from Synchronous Data Flow (SDF) Specifications SDF models provide natural algorithm concurrency SDF models are statically scheduled

257 views • 25 slides

Parallel and Distributed Programming Models and Languages

Parallel and Distributed Programming Models and Languages. 15-740/18-740 Computer Architecture In-Class Discussion Dong Zhou Kun Li Mike Ralph. Why distributed computations?. Buzzword: Big Data Take sorting as an example A mount of data that can be sorted in 60 seconds

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A Framework for Effective Exploitation of Partial Reconfiguration in Dataflow Computing

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Building diagnosable distributed systems

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