High Performance Computing
Springer International Publishing (Verlag)
978-3-031-07311-3 (ISBN)
The 18 full papers presented were carefully reviewed and selected from 53 submissions. Performance Modeling, Evaluation and Analysis;
This book constitutes the refereed proceedings of the 37th International Conference on High Performance Computing, ISC High Performance 2022, held in Hamburg, Germany, during May 29 - June 2, 2022.
The 18 full papers presented were carefully reviewed and selected from 53 submissions. The papers are categorized into the following topical sub-headings: Architecture, Networks, and Storage; Machine Learning, AI, Emerging Technologies; HPC Algorithms and Applications; Performance Modeling, Evaluation and Analysis; and Programming Environments and Systems Software.
Architecture, Networks, and Storage. Accelerating MPI All-to-All Communication with Online Compression on Modern GPU Clusters.- NVIDIA's Quantum InfiniBand Network Congestion Control Technology and Its Impact on Application Performance.- LLM: Realizing Low-Latency Memory by Exploiting Embedded Silicon Photonics for Irregular Workloads.- SU3_Bench on a Programmable Integrated Unified Memory Architecture (PIUMA) and How that Differs from Standard NUMA CPUs.- Machine Learning, AI, and Emerging Technologies.- "Hey CAI" - Conversational AI Enabled User Interface for HPC Tools.- Hy-Fi: Hybrid Five-Dimensional Parallel DNN Training on High-Performance GPU Clusters.- HPC Algorithms and Applications.- Efficient Application of Hanging-Node Constraints for Matrix-Free High-Order FEM Computations on CPU and GPU.- Dynamic Task Fusion for a Block-Structured Finite Volume Solver over a Dynamically Adaptive Mesh with Local Time Stepping.- Accelerating Simulated Quantum Annealing with GPU and Tensor Cores.- m-Cubes: An Efficient and Portable Implementation of Multi-dimensional Integration for GPUs.- Performance Modeling, Evaluation, and Analysis.- Comparative Evaluation of Call Graph Generation by Profiling Tools.- MAPredict: Static Analysis Driven Memory Access Prediction Framework for Modern CPUs.- Rapid Execution Time Estimation for Heterogeneous Memory Systems Through Differential Tracing.- Understanding Distributed Deep Learning Performance by Correlating HPC and Machine Learning Measurements.- A Motivating Case Study on Code Variant Selection by Reinforcement Learning.- Programming Environments and System Software.- Remote OpenMP Offloading.- Hybrid Parallel ILU Preconditioner in Linear Solver Library GaspiLS.- A Subset of the CERN Virtual Machine File System: Fast Delivering of Complex Software Stacks for Supercomputing Resources.
| Erscheinungsdatum | 04.06.2022 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XV, 373 p. 157 illus., 146 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 599 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Mathematik / Informatik ► Informatik ► Software Entwicklung | |
| Informatik ► Weitere Themen ► Hardware | |
| Schlagworte | Applications • Artificial Intelligence • Computer Hardware • computer programming • Computer Science • Computer systems • conference proceedings • distributed computer systems • Distributed Systems • GPUs • Informatics • Microprocessor chips • Parallel Algorithms • Parallel Architectures • parallel processing systems • Parallel Programming • Research • Signal Processing |
| ISBN-10 | 3-031-07311-8 / 3031073118 |
| ISBN-13 | 978-3-031-07311-3 / 9783031073113 |
| Zustand | Neuware |
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