High Performance Computing: 34th International Conference, ISC High Performance 2019, Frankfurt/Main, Germany, June 16–20, 2019, Proceedings Michèle Weiland 3030206564 9783030206567
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Product details:
- ISBN 10: 3030206564
- ISBN 13: 9783030206567
- Author: Michèle Weiland
This book constitutes the refereed proceedings of the 34th International Conference on High Performance Computing, ISC High Performance 2019, held in Frankfurt/Main, Germany, in June 2019.The 17 revised full papers presented were carefully reviewed and selected from 70 submissions. The papers cover a broad range of topics such as next-generation high performance components; exascale systems; extreme-scale applications; HPC and advanced environmental engineering projects; parallel ray tracing – visualization at its best; blockchain technology and cryptocurrency; parallel processing in life science; quantum computers/computing; what’s new with cloud computing for HPC; parallel programming models for extreme-scale computing; workflow management; machine learning and big data analytics; and deep learning and HPC.
Table of contents:
Architectures, Networks and Infrastructure
Evaluating Quality of Service Traffic Classes on the Megafly Network
Artificial Intelligence and Machine Learning
Densifying Assumed-Sparse Tensors
Learning Neural Representations for Predicting GPU Performance
Data, Storage and Visualization
SLOPE: Structural Locality-Aware Programming Model for Composing Array Data Analysis
A Near-Data Processing Server Architecture and Its Impact on Data Center Applications
Comparing the Efficiency of In Situ Visualization Paradigms at Scale
Emerging Technologies
Layout-Aware Embedding for Quantum Annealing Processors
HPC Algorithms
Toward Efficient Architecture-Independent Algorithms for Dynamic Programs
HPC Applications
Petaflop Seismic Simulations in the Public Cloud
MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles
Performance Modeling and Measurement
PerfMemPlus: A Tool for Automatic Discovery of Memory Performance Problems
GPUMixer: Performance-Driven Floating-Point Tuning for GPU Scientific Applications
Performance Exploration Through Optimistic Static Program Annotations
Programming Models and Systems Software
End-to-End Resilience for HPC Applications
Resilient Optimistic Termination Detection for the Async-Finish Model
Global Task Data-Dependencies in PGAS Applications
Finepoints: Partitioned Multithreaded MPI Communication
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