34th International Conference, ISC High Performance 2019, Frankfurt/Main, Germany, June 16-20, 2019, Proceedings /
First Statement of Responsibility
edited by Mich?le Weiland, Guido Juckeland, Carsten Trinitis, Ponnuswamy Sadayappan.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Cham, Switzerland :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2019.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (xvi, 352 pages) :
Other Physical Details
illustrations (some color)
SERIES
Series Title
Lecture notes in computer science ;
Series Title
LNCS sublibrary. SL 1, Theoretical computer science and general issues
Volume Designation
11501
GENERAL NOTES
Text of Note
Includes author index.
Text of Note
International conference proceedings.
CONTENTS NOTE
Text of Note
Intro; Preface; Organization; Contents; Architectures, Networks and Infrastructure; Evaluating Quality of Service Traffic Classes on the Megafly Network; 1 Introduction; 2 Exploring Quality of Service on HPC Networks; 3 Evaluation Methodology; 3.1 HPC Simulation Environment; 3.2 Topology and Routing Description; 3.3 Network Configurations; 3.4 Workloads; 3.5 Rank-to-Node Mappings; 4 Quantifying Interference on 1-D Dragonfly and Megafly Networks; 5 Evaluating Quality of Service on Megafly Networks; 5.1 QoS Mechanism I: Prioritizing Entire Applications
Text of Note
5.1 Evaluation Using Synthetic Data Analysis5.2 Evaluation for SLOPE and Spark Using Real Applications; 6 Related Work; 7 Conclusions and Future Work; References; A Near-Data Processing Server Architecture and Its Impact on Data Center Applications; 1 Introduction; 2 Related Work; 3 NDP Server Architecture; 3.1 The Architecture of a Conventional Server; 3.2 The New NDP Server Architecture; 4 Implementations; 4.1 Implementation Methodology; 4.2 Implementation of SANS and SFNS; 4.3 Implementation of the Applications; 5 Evaluation; 5.1 Evaluation of FFT & LC & HE
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5.2 QoS Mechanism II: Prioritizing and Guaranteeing Bandwidth to Latency-Sensitive Operations5.3 Applying QoS Mechanisms to Multiple Application Workloads in Parallel; 6 Related Work; 7 Discussion and Conclusion; References; Artificial Intelligence and Machine Learning; Densifying Assumed-Sparse Tensors; 1 Introduction; 2 Background; 3 Issues with Scaling the Transformer Model; 4 Densifying Assumed-Sparse Tensors; 5 Experimental Results; 5.1 Weak Scaling Performance; 5.2 Strong Scaling; 5.3 Model Accuracy; 6 Discussion; 7 Future Work and Conclusion; References
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Data, Storage and VisualizationSLOPE: Structural Locality-Aware Programming Model for Composing Array Data Analysis; 1 Introduction; 2 Preliminaries; 2.1 Multidimensional Array; 2.2 User-Defined Function and Programming Model; 3 SLOPE Programming Model; 3.1 Abstract Data Type-Stencil; 3.2 SLOPE Programming Model; 3.3 Example Data Analysis Using SLOPE; 4 Parallel Execution Engine; 4.1 Overview of Parallel Execution Engine; 4.2 Data Partitioning and Halo Layer; 4.3 Data and Computing Scheduling; 4.4 Output Array Dimension; 4.5 Advanced Features; 4.6 Implementation of SLOPE; 5 Evaluation
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Learning Neural Representations for Predicting GPU Performance1 Introduction; 2 Background and Motivation; 2.1 Related Work; 2.2 Explicit Features; 2.3 Representation Learning; 2.4 Collaborative Filtering; 3 Prediction Model; 3.1 Multi-layer Perceptron Model; 3.2 Multiple Training Objectives; 3.3 Automated Architecture Search; 4 Experiment Setup; 4.1 Machine Specification; 4.2 Benchmarks; 4.3 Methodology; 5 Results and Discussions; 5.1 Performance of Matrix Factorization (R1); 5.2 Performance of Multi-layer Perceptron (R2); 5.3 Training with Additional Metrics (R3); 6 Conclusions; References
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SUMMARY OR ABSTRACT
Text of Note
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. --
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9783030206567
PARALLEL TITLE PROPER
Parallel Title
ISC High Performance 2019
TOPICAL NAME USED AS SUBJECT
High performance computing, Congresses.
Supercomputers, Congresses.
High performance computing.
Supercomputers.
DEWEY DECIMAL CLASSIFICATION
Number
004
.
1/1
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
QA76
.
88
Book number
.
I83
2019eb
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Juckeland, Guido
Sadayappan, P.
Trinitis, Carsten
Weiland, Michèle
CORPORATE BODY NAME - PRIMARY RESPONSIBILITY
ISC High Performance (Conference)(34th :2019 :, Frankfurt am Main, Germany)