Parallel Processing and Applied Mathematics
Springer International Publishing (Verlag)
978-3-031-85696-9 (ISBN)
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.
| Erscheinungsdatum | 03.04.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XXVII, 378 p. 135 illus., 104 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | accelerators • applications of parallel computing • Applied mathematics • Artificial Intelligence • Cloud Computing • Energy Efficient Computing • GPUs • Heterogeneous systems • High Performance Computing • machine learning • multi- and manycore architectures • Numerical Algorithms • Parallel Algorithms • Parallel Architectures • Parallel Programming • parallel scientific computing • Performance Analysis • post-Moore era • Quantum Computing • scheduling for parallel computing |
| ISBN-10 | 3-031-85696-1 / 3031856961 |
| ISBN-13 | 978-3-031-85696-9 / 9783031856969 |
| Zustand | Neuware |
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