Languages and Compilers for Parallel Computing [E-Book] : 33rd International Workshop, LCPC 2020, Virtual Event, October 14-16, 2020, Revised Selected Papers / edited by Barbara Chapman, José Moreira.
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 pa...
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Full text |
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Personal Name(s): | Chapman, Barbara, editor |
Moreira, José, editor | |
Edition: |
1st edition 2022. |
Imprint: |
Cham :
Springer,
2022
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Physical Description: |
X, 233 pages 84 illustrations, 57 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783030959531 |
DOI: |
10.1007/978-3-030-95953-1 |
Series Title: |
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Theoretical Computer Science and General Issues ;
13149 /* Depending on the record driver, $field may either be an array with "name" and "number" keys or a flat string containing only the series name. We should account for both cases to maximize compatibility. */?> Lecture Notes in Computer Science |
Subject (LOC): |
- 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.