Languages and Compilers for Parallel Computing
Springer International Publishing (Verlag)
978-3-032-02435-0 (ISBN)
This volume LNCS 14480 constitutes the refereed proceedings of the International Workshop, LCPC 2023, in Lexington, KY, USA, held during October 2023.
The 10 full papers presented together with 3 short papers were carefully reviewed and selected from 14 submissions. The conference focuses on mobile computing to big data and training of AI systems.
.- SEER: An on-node Performance-Portable C++ Library for Heterogeneous Systems.
.- Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation.
.- Benchmarking Operators in Deep Neural Networks for Improving Performance Portability of SYCL.
.- COMPASS: A Combined Parallel Subscripted Subscript Benchmark Suite.
.- Tiling parameters prediction using Machine Learning techniques.
.- Efficiently Exploiting Irregular Parallelism Using Keys at Scale.
.- Automatic Deep Learning Parallelization for Vector Multicore Chips with the OSCAR Parallelizing and the TVM Open-Source Deep Learning Compiler.
.- A Parallel Hybrid Genetic Search for the Capacitated VRP with Pickup and Delivery.
.- Performance-Portable Tensor Transpositions in MLIR.
.- Quantum Circuit Resizing via Serial Execution.
.- Generating memory allocators from the ground up.
.- A Multiple Compiler Framework for Improved Performance.
.- PEAK: Generating High-Performance Schedules in MLIR.
.- Answer-set programming An Introduction Based on Sudoku and (Thomas G.) Room Arrangements.
| Erscheinungsdatum | 05.10.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | X, 224 p. 95 illus., 74 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge |
| Schlagworte | answer-set programming • Artificial Intelligence • Compilers • Computer Architecture • distributed processing • heterogeneous computing • machine learning • Parallel Processing • Parallel Programming Languages • performance tuning • Quantum Computing |
| ISBN-10 | 3-032-02435-8 / 3032024358 |
| ISBN-13 | 978-3-032-02435-0 / 9783032024350 |
| Zustand | Neuware |
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