Languages and Compilers for Parallel Computing
portes grátis
Languages and Compilers for Parallel Computing
33rd International Workshop, LCPC 2020, Virtual Event, October 14-16, 2020, Revised Selected Papers
Chapman, Barbara; Moreira, Jose
Springer Nature Switzerland AG
02/2022
233
Mole
Inglês
9783030959524
15 a 20 dias
379
Descrição não disponível.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
artificial intelligence;compiler;computer hardware;computer programming;computer science;computer systems;computer vision;distributed computer systems;distributed systems;education;embedded systems;mathematics;microprocessor chips;optimization;parallel algorithms;parallel architectures;parallel processing systems;parallel programming;processors;program compilers
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
artificial intelligence;compiler;computer hardware;computer programming;computer science;computer systems;computer vision;distributed computer systems;distributed systems;education;embedded systems;mathematics;microprocessor chips;optimization;parallel algorithms;parallel architectures;parallel processing systems;parallel programming;processors;program compilers
