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Languages and Compilers for Parallel Computing = 33rd International Workshop, LCPC 2020, Virtual Event, October 14-16, 2020, Revised Selected Papers /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Languages and Compilers for Parallel Computing/ edited by Barbara Chapman, José Moreira.
Reminder of title:	33rd International Workshop, LCPC 2020, Virtual Event, October 14-16, 2020, Revised Selected Papers /
other author:	Chapman, Barbara.
Description:	X, 233 p. 84 illus., 57 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Programming languages (Electronic computers). -
Online resource:	https://doi.org/10.1007/978-3-030-95953-1
ISBN:	9783030959531

Languages and Compilers for Parallel Computing = 33rd 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] :edited by Barbara Chapman, José Moreira. - 1st ed. 2022. - X, 233 p. 84 illus., 57 illus. in color.online resource. - Theoretical Computer Science and General Issues,131492512-2029 ;. - Theoretical Computer Science and General Issues,12865.

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

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

1127615
Programming languages (Electronic computers).

LC Class. No.: QA76.7-.73

Dewey Class. No.: 005.13

Languages and Compilers for Parallel Computing = 33rd International Workshop, LCPC 2020, Virtual Event, October 14-16, 2020, Revised Selected Papers /
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