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Languages and compilers for parallel computing33rd International Workshop, LCPC 2020, virtual event, October 14-16, 2020 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Languages and compilers for parallel computingedited by Barbara Chapman, Jose Moreira.
Reminder of title:	33rd International Workshop, LCPC 2020, virtual event, October 14-16, 2020 : revised selected papers /
remainder title:	LCPC 2020
other author:	Chapman, Barbara.
corporate name:
Published:	Cham :Springer International Publishing :2022.
Description:	x, 233 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Parallel programming (Computer science)
Online resource:	https://doi.org/10.1007/978-3-030-95953-1
ISBN:	9783030959531$q(electronic bk.)

Languages and compilers for parallel computing33rd International Workshop, LCPC 2020, virtual event, October 14-16, 2020 : revised selected papers /
Languages and compilers for parallel computing33rd International Workshop, LCPC 2020, virtual event, October 14-16, 2020 : revised selected papers /[electronic resource] :LCPC 2020edited by Barbara Chapman, Jose Moreira. - Cham :Springer International Publishing :2022. - x, 233 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,131490302-9743 ;. - Lecture notes in computer science ;4891..

Code and Data Transformations An Affine Scheduling Framework for Integrating Data Layout and Loop Transformations -- Guiding Code Optimizations with Deep Learning-Based Code Matching -- Expanding Opportunities for Array Privatization in Sparse Computations -- OpenMP and Fortran Concurrent Execution of Deferred OpenMP Target Tasks with Hidden Helper Threads -- Using Hardware Transactional Memory to Implement Speculative Privatization in OpenMP -- Improving Fortran Performance Portability -- Domain Specific Compilation COMET: A Domain-Specic Compilation of High-Performance Computational Chemistry -- G-Code Re-compilation and Optimization for Faster 3D Printing -- Li Machine Language and Quantum Computing Optimized Code Generation for Deep Neural Networks -- Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic Hardware -- A Quantum-Inspired Model For Bit-Serial SIMD-Parallel Computation -- Performance Analysis Enhancing the Top-Down Microarchitectural Analysis Method Using Purchasing Power Parity Theory -- Code Generation Cain: Automatic Code Generation for Simultaneous Convolutional Kernels on Focal-plane Sensor-processors -- Reordering Under the ECMAScript Memory Consistency Model -- Verication of Vectorization of Signal Transforms.

This book constitutes the thoroughly refereed post-conference proceedings of the 33rd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2020, held in Stony Brook, NY, USA, in October 2020. Due to COVID-19 pandemic the conference was held virtually. The 15 revised full papers were carefully reviewed and selected from 19 submissions. The contributions were organized in topical sections named as follows: Code and Data Transformations; OpenMP and Fortran; Domain Specific Compilation; Machine Language and Quantum Computing; Performance Analysis; Code Generation.

ISBN: 9783030959531$q(electronic bk.)

Standard No.: 10.1007/978-3-030-95953-1doiSubjects--Topical Terms:

215285
Parallel programming (Computer science)

LC Class. No.: QA76.642 / .L36 2020

Dewey Class. No.: 004.35

Languages and compilers for parallel computing33rd International Workshop, LCPC 2020, virtual event, October 14-16, 2020 : revised selected papers /
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520 $a This book constitutes the thoroughly refereed post-conference proceedings of the 33rd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2020, held in Stony Brook, NY, USA, in October 2020. Due to COVID-19 pandemic the conference was held virtually. The 15 revised full papers were carefully reviewed and selected from 19 submissions. The contributions were organized in topical sections named as follows: Code and Data Transformations; OpenMP and Fortran; Domain Specific Compilation; Machine Language and Quantum Computing; Performance Analysis; Code Generation.
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