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Languages and Compilers for Parallel Computing : 33rd International Workshop, LCPC 2020, Virtual Event, October 14-16, 2020, Revised Selected Papers / edited by Barbara Chapman, José Moreira.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 13149
- Theoretical Computer Science and General Issues, 2512-2029 ; 13149
- Language:
- English
- Subjects (All):
- Programming languages (Electronic computers).
- Computer networks.
- Computer programming.
- Computer systems.
- Programming Language.
- Computer Communication Networks.
- Programming Techniques.
- Computer System Implementation.
- Local Subjects:
- Programming Language.
- Computer Communication Networks.
- Programming Techniques.
- Computer System Implementation.
- Physical Description:
- 1 online resource (X, 233 pages) : 84 illustrations, 57 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-95953-1
- 9783030959531
- Access Restriction:
- Restricted for use by site license.
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