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Parallel Processing and Applied Mathematics: 15th International Conference, PPAM 2024, Ostrava, Czech Republic, September 811, 2024, Revised Selected Papers, Part I [Mīkstie vāki]

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  • Formāts: Paperback / softback, 378 pages, height x width: 235x155 mm, 104 Illustrations, color; 31 Illustrations, black and white; XXVII, 378 p. 135 illus., 104 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 15579
  • Izdošanas datums: 01-Apr-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031856961
  • ISBN-13: 9783031856969
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Parallel Processing and Applied Mathematics: 15th International Conference, PPAM 2024, Ostrava, Czech Republic, September 811, 2024, Revised Selected Papers, Part IPalielināt
  • Formāts: Paperback / softback, 378 pages, height x width: 235x155 mm, 104 Illustrations, color; 31 Illustrations, black and white; XXVII, 378 p. 135 illus., 104 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 15579
  • Izdošanas datums: 01-Apr-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031856961
  • ISBN-13: 9783031856969
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031856969.html
Keywords:

This book constitutes the refereed proceedings of the 15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024, held in Ostrava, Czech Republic, during September 8–11, 2024.


The 75 full papers included in this book were carefully reviewed and selected from 134 submissions. . The papers are organized in the following topical sections:

Part I : Numerical Algorithms and Parallel Scientific Computing; Architectural Aspects of HPC; Parallel Non-numerical Algorithms; GPU Computing; Performance Analysis and Prediction in HPC
Systems; Environments and Frameworks for Parallel/Cloud/Edge Computing; and Applications of Parallel and Distributed Computing.

Part II : First PPAM Workshop on RISC-V (RISC-V PPAM 2024); Special Session on Scheduling for Parallel Computing; 10th Workshop on Language-Based Parallel Programming (WLPP 2024); 7th Workshop on Models Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2024); and Second Workshop on Quantum Computing and Communication.

Part III : First Workshop on Advancements of Global Challenges Application; Second Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing; 5th Workshop on Applied High Performance Numerical Algorithms for PDEs; Special Session on Parallel EVD/SVD and its Application in Matrix Computations; 6th Minisymposium on HPC Applications in Physical Sciences; and 8th Workshop on Complex Collective Systems.

.- Numerical Algorithms and Parallel Scientific Computing.
.- The need for accuracy and smoothness in numerical simulations.
.- Trade-off Between Energy Consumption and Solution Accuracy for a
Multithreaded Spectral Method Implementation.
.- Enabling mixed-precision with the help of tools: A Nekbone case study.
.- Sparse matrix ordering for fine grain parallel triangular solve using
SIMD.
.- Stabilizing the Block BiCG with Extended Precision: A Case Study.
.- Architectural Aspects of HPC.
.- Exploring the Design Space for Message-Driven Systems for Dynamic Graph
Processing using CCA.
.- Introducing the Arm-membench Throughput Benchmark.
.- Segmentation of Aortic Valve Calcium Lesions using FPGA Accelerators.
.- Parallel Non-numerical Algorithms.
.- Parallel maximal common subgraphs with labels for molecular biology.
.- PPQSort: Pattern Parallel Quicksort.
.- ACE: Algorithm-independent Acceleration and Parallelization of Clustering
Implementations.
.- GPU Computing.
.- Improved GPU memory management in evolutionary decision tree induction for
large-scale data.
.- Multi-GPU Accelerated Rendering of Massive Scenes with Out-of-Core Support
for CPU Memory.
.- A GPU Implementation of McMurchie-Davidson Algorithm for Two-Electron
Repulsion Integral Computation.
.- Performance Analysis and Prediction in HPC Systems.
.- Measuring and Interpreting Dependent Task-based Applications
Performances.
.- Using Parallel Performance Data to Classify Parallel Algorithms.
.- Tracing of GPU-aware MPI Applications: First Benchmarks for the Angara
Interconnect.
.- Environments and Frameworks for Parallel/Cloud/Edge Computing.
.- Flexible algorithms for persistent MPI allreduce communication.
.- Towards the Democratization and Standardization of Dynamic Resources with
MPI Spawning.
.- Compiler support for semi-manual AoS-to-SoA conversions with data views.
.- Cultural Heritage 3D Object Management with Integrated Automation
Workflows.
.- Collaborative Learning as a Service a blueprint for a cloud based rural
IoTs deployment facility.
.- Applications of Parallel and Distributed Computing.
.- High-Performance Implementation of the Optimized Event Generator for
Strong-Field QED Plasma Simulations.
.- GPU-Based Interval Optimization in the Context of Optical MIMO Systems.