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| Titolo: |
High Performance Computing [[electronic resource] ] : 37th International Conference, ISC High Performance 2022, Hamburg, Germany, May 29 – June 2, 2022, Proceedings / / edited by Ana-Lucia Varbanescu, Abhinav Bhatele, Piotr Luszczek, Baboulin Marc
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Edizione: | 1st ed. 2022. |
| Descrizione fisica: | 1 online resource (382 pages) |
| Disciplina: | 004.11 |
| Soggetto topico: | Computer engineering |
| Computer networks | |
| Software engineering | |
| Computer systems | |
| Logic design | |
| Computer Engineering and Networks | |
| Software Engineering | |
| Computer Communication Networks | |
| Computer System Implementation | |
| Logic Design | |
| Persona (resp. second.): | VarbanescuAna Lucia |
| Note generali: | Includes index. |
| Nota di contenuto: | 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. . |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | High Performance Computing ![]() |
| ISBN: | 3-031-07312-6 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 996475770003316 |
| Lo trovi qui: | Univ. di Salerno |
| Opac: | Controlla la disponibilità qui |