
High Performance Computing
36th International Conference, ISC High Performance 2021, Virtual Event, June 24 - July 2, 2021, Proceedings
Springer (Publisher)
Published on 17. June 2021
Book
Paperback/Softback
XVII, 474 pages
978-3-030-78712-7 (ISBN)
Description
This book constitutes the refereed proceedings of the 36th International Conference on High Performance Computing, ISC High Performance 2021, held virtually in June/July 2021.
The 24 full papers presented were carefully reviewed and selected from 74 submissions. The papers cover a broad range of topics such as architecture, networks, and storage; machine learning, AI, and emerging technologies; HPC algorithms and applications; performance modeling, evaluation, and analysis; and programming environments and systems software.
More details
Series
Edition
1st ed. 2021
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
166 farbige Abbildungen, 41 s/w Abbildungen
XVII, 474 p. 207 illus., 166 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 27 mm
Weight
744 gr
ISBN-13
978-3-030-78712-7 (9783030787127)
DOI
10.1007/978-3-030-78713-4
Schweitzer Classification
Other editions
Additional editions

Bradford L. Chamberlain | Ana-Lucia Varbanescu | Hatem Ltaief
High Performance Computing
36th International Conference, ISC High Performance 2021, Virtual Event, June 24 - July 2, 2021, Proceedings
E-Book
06/2021
Springer
€53.49
Available for download
Content
Architecture, Networks, and Storage.-
Microarchitecture of a Configurable High-radix Router for Exascale Interconnect.- BluesMPI: Efficient MPI Non-blocking Alltoall Offloading Designs on Modern BlueField Smart NICs.- Lessons Learned from Accelerating Quicksilver on Programmable Integrated Unified Memory Architecture (PIUMA) and How that's Different from CPU.- A Hierarchical Task Scheduler for Heterogeneous Computing.-
Machine Learning, AI, and Emerging Technologies.-
Auto-Precision Scaling for Distributed Deep Learning.- FPGA Acceleration of Number Theoretic Transform.- Designing a ROCm-aware MPI Library for AMD GPUs: Early Experiences.- A Tunable Implementation of Quality-of-Service Classes for HPC Networks.- Scalability of Streaming Anomaly Detection in an Unbounded Key Space using Migrating Threads.- HTA: A Scalable High-Throughput Accelerator for Irregular HPC Workloads.- Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems.-
HPC Algorithms and Applications.-
COSTA: Communication-Optimal Shuffle and Transpose Algorithm with Process Relabeling.- Enabling AI-Accelerated Multiscale Modeling of Thrombogenesis at Millisecond and Molecular Resolutions on Supercomputers.- Evaluation of the NEC Vector Engine for Legacy CFD Codes.- Distributed Sparse Block Grids on GPUs.- iPUG: Accelerating Breadth-First Graph Traversals using Manycore Graphcore IPUs.-
Performance Modeling, Evaluation, and Analysis.-
Optimizing GPU-enhanced HPC System and Cloud Procurements for Scientific Workloads.- A Performance Analysis of Modern Parallel Programming Models Using a Compute-Bound Application.- Analytic Modeling of Idle Waves in Parallel Programs: Communication, Cluster Topology, and Noise Impact.- Performance of the Supercomputer Fugaku for Breadth-First Search in Graph500 Benchmark.- Under the Hood of SYCL - An Initial Performance Analysis With an Unstructured-mesh CFD Application.- Characterizing Containerized HPCApplication Performance at Petascale on CPU and GPU Architectures.- Ubiquitous Performance Analysis.-
Programming Environments and Systems Software.-
Artemis: Automatic Runtime Tuning of Parallel Execution Parameters Using Machine Learning.