Buch, Englisch, 209 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 341 g
17th International Conference, PaCT 2023, Astana, Kazakhstan, August 21-25, 2023, Proceedings
Buch, Englisch, 209 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 341 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-41672-9
Verlag: Springer
This book constitutes the refereed proceedings of the 17th International Conference on Parallel Computing Technologies, PaCT 2023, held in Astana, Kazakhstan, during August 21-25, 2023.
The 15 full papers included in this book were carefully reviewed and selected from 23 submissions. They were organized in topical sections as follows: automatic programming and program tuning; frameworks and services; algorithms; and distributed systems management.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Automatic Programming and Program Tuning .- Automation of programming for promising high-performance computing systems.- Automatic parallelization of iterative loops nests on distributed memory computing systems.- Didal: Distributed Data Library for Development of Parallel Fragmented Programs.- Trace Balancing Technique for Trace Playback in LuNA System.- Case Study for Running Memory-Bound Kernels on RISC-V CPUs.- Frameworks and Services .- Pair of Genes: Technical Validation of Distributed Causal Role Attribution to Gene Network Expansion.- HiTViSc: High-Throughput Virtual Screening as a Service.- Expanding the Cellular Automata Topologies Library for Parallel Implementation of Synchronous Cellular Automata.- Algorithms .- Parallel-batched Interpolation Search Tree.- Parallel Generation and Analysis of Optimal Chordal Ring Networks Using Python Tools on Kunpeng Processors.- Combinatorial Aspect of Code Restructuring for Virtual Memory Computer Systems under WS Swapping Strategy.- Distributed Systems Management .- Probabilistic Resources Allocation with Group Dependencies in Distributed Computing.- Multicriteria Task Distribution Problem for Resource-Saving Data Processing.- Scheduling of Work ows with Task Resource Requirements in Cluster Environments.- Verifying the Correctness of HPC Performance Monitoring Data.
