High Performance Computing : 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.

Format:

Book

Contributor:

Varbanescu, Ana Lucia, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13289

Language:

English

Subjects (All):

Computer engineering.

Computer networks.

Software engineering.

Computer systems.

Logic design.

Computer Engineering and Networks.

Software Engineering.

Computer Communication Networks.

Computer System Implementation.

Logic Design.

Local Subjects:

Computer Engineering and Networks.

Software Engineering.

Computer Communication Networks.

Computer System Implementation.

Logic Design.

Physical Description:

1 online resource (382 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

System Details:

Mode of access: World Wide Web.

Summary:

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.

Contents:

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. .

Notes:

Includes index.

Includes bibliographical references and index.

Other Format:

Print version: Varbanescu, Ana Lucia High Performance Computing

ISBN:

3-031-07312-6