Parallel Computing Technologies: 17th International Conference, PaCT 2023, Astana, Kazakhstan, August 21-25, 2023, Proceedings

by Victor Malyshkin (Editor)

Overview

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.

Product Details

ISBN-13:	9783031416736
Publisher:	Springer-Verlag New York, LLC
Publication date:	08/14/2023
Series:	Lecture Notes in Computer Science , #14098
Sold by:	Barnes & Noble
Format:	eBook
File size:	16 MB
Note:	This product may take a few minutes to download.

Table of Contents

​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.