Languages and Compilers for Parallel Computing - 36th International Workshop, LCPC 2023, Lexington, KY, USA, October 11-13, 2023, Revised Selected Papers

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.

Sommario

.- 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.

Dettagli sul prodotto

• Con la collaborazione di: Henry Dietz (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 24.09.2025
• EAN: 9783032024350
• ISBN: 978-3-0-3202435-0
• Pagine: 224
• Dimensioni: 155 mm x 13 mm x 235 mm
• Peso: 365 g
• Illustrazioni: X, 224 p. 95 illus., 74 illus. in color.
• Serie: Lecture Notes in Computer Science
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Linguaggi di programmazione; machine learning, Artificial Intelligence, Quantum Computing, Performance tuning, Programming Language, Computer Architecture, Parallel processing, Compilers, parallel programming languages, heterogeneous computing, distributed processing, answer-set programming