Parallel Computing Technologies (eBook, PDF)

17th International Conference, PaCT 2023, Astana, Kazakhstan, August 21-25, 2023, Proceedings
Redaktion: Malyshkin, Victor

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 209
• Erscheinungstermin: 14. August 2023
• Englisch
• ISBN-13: 9783031416736
• Artikelnr.: 69773925

Inhaltsangabe

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.