High Performance Computing
Springer International Publishing (Verlag)
978-3-030-78712-7 (ISBN)
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.
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.
| Erscheinungsdatum | 19.06.2021 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
| Zusatzinfo | XVII, 474 p. 207 illus., 166 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 747 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Betriebssysteme / Server |
| Mathematik / Informatik ► Informatik ► Software Entwicklung | |
| Schlagworte | Applications • bandwidth • Computer Networks • computer programming • Computer Science • Computer systems • conference proceedings • distributed computer systems • Distributed Systems • Embedded Systems • GPU • HPC • Informatics • Microprocessor chips • multi core • Parallel Algorithms • Parallel Architectures • parallel processing systems • Parallel Programming • Processors • Research • Signal Processing • Software engineering |
| ISBN-10 | 3-030-78712-5 / 3030787125 |
| ISBN-13 | 978-3-030-78712-7 / 9783030787127 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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