Parallel Processing and Applied Mathematics
Springer International Publishing (Verlag)
978-3-031-85699-0 (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.
.- First PPAM Workshop on RISC-V (RISC-V PPAM 2024).
.- RAVE: RISC-V Analyzer of Vector Executions, a QEMU tracing plugin.
.- Batched DGEMMs for scientific codes running on long vector architectures.
.- Vectorization of Gradient Boosting of Decision Trees Prediction in the CatBoost Library for RISC-V Processors.
.- QR Factorization on a Long-Vector Processor.
.- Special Session on Scheduling for Parallel Computing.
.- HEAPS: a novel energy-based configurable HPC scheduler.
.- Fair-Sharing Simulator for Batch Computing Systems.
.- Scalability and Reliability of Port Simulation Workflow on Slurm.
.- 10th Workshop on Language-Based Parallel Programming (WLPP 2024).
.- On the Incorrect Use of Application Efficiency to Calculate Performance Portability.
.- Assessing the Performance of Portable Programming Models Across GPU Vendors for the N-Body Problem.
.- Performance Portability of SpMV for CSR and BSR Storage Formats Implemented Using OpenACC and SYCL.
.- The Impact of SYCL Data Management on Performance Portability.
.- LLM-driven Cross-Platform Code Generation for Polyhedral Optimized NPDP Codes.
.- Juliana: Automated Julia CUDA.jl Code Translation Across Multiple GPU Platforms.
.- 7th Workshop on Models Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2024)
.- Boosting GPGPU virtualization and multiplexing with RDMA communication.
.- Efficient Load Scheduling of IMRT Planning in Heterogeneous multicore clusters.
.- Deploying AI-Based Environmental Monitoring Applications at the Edge: Two Case Studies.
.- Parallelism in GNN: possibilities and limits of current approaches.
.- Solving Soil Microbiota Growth Problem by PINNs.
.- Two-Phase Distributed Algorithm for Solving the Bi-Objective Minimum Spanning Tree Problem: A Preliminary Study.
.- Second Workshop on Quantum Computing and Communication.
.- Feedback-Based Quantum Algorithm for Constrained Optimization Problems.
.- Halving the number of qubits of quantum comparators.
.- Private Computation of Boolean Functions Using Single Qubits.
.- The Fredholm determinants approach to the computations of quantum entanglement.
.- Power Consumption and Energy Efficiency of Quantum Computing Platforms in High Performance Computing Integration.
.- Feasibility Study of a Hybrid Quantum-Classical Setup for Multiple GPUs and Two Photonic Quantum Computers.
.- QCG-QuantumLauncher: a modular tool for quantum scenarios.
.- Semi-self-testing Quantum Random Number Generator with CMOS Sensors.
| Erscheinungsdatum | 03.04.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XIX, 374 p. 96 illus., 80 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 | 3-031-85699-6 / 3031856996 |
| ISBN-13 | 978-3-031-85699-0 / 9783031856990 |
| Zustand | Neuware |
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