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Languages and compilers for parallel...
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Languages and compilers for parallel computing32nd International Workshop, LCPC 2019, Atlanta, GA, USA, October 22-24, 2019 : revised selected papers /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Languages and compilers for parallel computingedited by Santosh Pande, Vivek Sarkar.
Reminder of title:
32nd International Workshop, LCPC 2019, Atlanta, GA, USA, October 22-24, 2019 : revised selected papers /
remainder title:
LCPC 2019
other author:
Pande, Santosh.
corporate name:
Published:
Cham :Springer International Publishing :2021.
Description:
xii, 165 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Parallel programming (Computer science)
Online resource:
https://doi.org/10.1007/978-3-030-72789-5
ISBN:
9783030727895$q(electronic bk.)
Languages and compilers for parallel computing32nd International Workshop, LCPC 2019, Atlanta, GA, USA, October 22-24, 2019 : revised selected papers /
Languages and compilers for parallel computing
32nd International Workshop, LCPC 2019, Atlanta, GA, USA, October 22-24, 2019 : revised selected papers /[electronic resource] :LCPC 2019edited by Santosh Pande, Vivek Sarkar. - Cham :Springer International Publishing :2021. - xii, 165 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,119980302-9743 ;. - Lecture notes in computer science ;4891..
Performance of Static and Dynamic Task Scheduling for Real-Time Engine Control System on Embedded Multicore Processor -- PostSLP: Cross-Region Vectorization of Fully or Partially Vectorized Code -- FLARE: Flexibly Sharing Commodity GPUs to Enforce QoS and Improve Utilization -- Foundations of consistency types for a higher-order distributed language -- Common Subexpression Convergence: A New Code Optimization for SIMT processors -- Using Performance Event Profiles to Deduce an Execution Model of MATLAB with Just-In-Time Compilation -- CLAM: Compiler Leasing of Accelerator Memory -- Abstractions for Polyhedral Topology-Aware Tasking -- SWIRL++: Evaluating Performance Models to Guide Code Transformation in Convolutional Neural Networks -- A Structured Grid Solver with Polyhedral+Dataflow Representation -- CubeGen: Code Generation for Accelerated GEMM-based Convolution with Tiling.
This book constitutes the thoroughly refereed post-conference proceedings of the 32nd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2019, held in Atlanta, GA, USA, in October 2019. The 8 revised full papers and 3 revised short papers were carefully reviewed and selected from 17 submissions. The scope of the workshop includes advances in programming systems for current domains and platforms, e.g., scientific computing, batch/ streaming/ real-time data analytics, machine learning, cognitive computing, heterogeneous/ reconfigurable computing, mobile computing, cloud computing, IoT, as well as forward-looking computing domains such as analog and quantum computing.
ISBN: 9783030727895$q(electronic bk.)
Standard No.: 10.1007/978-3-030-72789-5doiSubjects--Topical Terms:
215285
Parallel programming (Computer science)
LC Class. No.: QA76.642 / .L36 2019
Dewey Class. No.: 004.35
Languages and compilers for parallel computing32nd International Workshop, LCPC 2019, Atlanta, GA, USA, October 22-24, 2019 : revised selected papers /
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32nd International Workshop, LCPC 2019, Atlanta, GA, USA, October 22-24, 2019 : revised selected papers /
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Performance of Static and Dynamic Task Scheduling for Real-Time Engine Control System on Embedded Multicore Processor -- PostSLP: Cross-Region Vectorization of Fully or Partially Vectorized Code -- FLARE: Flexibly Sharing Commodity GPUs to Enforce QoS and Improve Utilization -- Foundations of consistency types for a higher-order distributed language -- Common Subexpression Convergence: A New Code Optimization for SIMT processors -- Using Performance Event Profiles to Deduce an Execution Model of MATLAB with Just-In-Time Compilation -- CLAM: Compiler Leasing of Accelerator Memory -- Abstractions for Polyhedral Topology-Aware Tasking -- SWIRL++: Evaluating Performance Models to Guide Code Transformation in Convolutional Neural Networks -- A Structured Grid Solver with Polyhedral+Dataflow Representation -- CubeGen: Code Generation for Accelerated GEMM-based Convolution with Tiling.
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EB QA76.642 .L432 2019 2021
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