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High Performance Computing de Ana-Lucia Varbanescu

High Performance Computing: Lecture Notes in Computer Science

Editat de Ana-Lucia Varbanescu, Abhinav Bhatele, Piotr Luszczek, Baboulin Marc
en Limba Engleză Paperback – 29 mai 2022
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.

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Specificații

ISBN-13: 9783031073113
ISBN-10: 3031073118
Pagini: 392
Ilustrații: XV, 373 p. 157 illus., 146 illus. in color.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.59 kg
Ediția:1st edition 2022
Editura: Springer
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

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.