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

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 organ...

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Kaydedildi:
Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Malyshkin, Victor (Editör)
Materyal Türü: Elektronik Ekitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edisyon:1st ed. 2023.
Seri Bilgileri:Lecture Notes in Computer Science, 14098
Konular:
Online Erişim:https://doi.org/10.1007/978-3-031-41673-6
Etiketler: Etiketle
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İçindekiler:
  • 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.