High Performance Computing

1. Front Matter

   Pages I-XX

   PDF

2. The 1st International Workshop on Data Reduction for Big Scientific Data (DRBSD-1)

   1. Front Matter

      Pages 1-1

      PDF

   2. Toward Decoupling the Selection of Compression Algorithms from Quality Constraints

      • Julian Kunkel, Anastasiia Novikova, Eugen Betke, Armin Schaare

      Pages 3-14

   3. On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective

      • Axel Huebl, René Widera, Felix Schmitt, Alexander Matthes, Norbert Podhorszki, Jong Youl Choi et al.

      Pages 15-29

   4. Toward a Multi-method Approach: Lossy Data Compression for Climate Simulation Data

      • Allison H. Baker, Haiying Xu, Dorit M. Hammerling, Shaomeng Li, John P. Clyne

      Pages 30-42

   5. Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets

      • Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello

      Pages 43-54

3. Third International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale (ExaComm)

   1. Front Matter

      Pages 55-55

      PDF

   2. Design Space Exploration of the Dragonfly Topology

      • Min Yee Teh, Jeremiah J. Wilke, Keren Bergman, Sébastien Rumley

      Pages 57-74

   3. High-Throughput Sockets over RDMA for the Intel Xeon Phi Coprocessor

      • Aram Santogidis, Spyros Lalis

      Pages 75-86

4. Workshop on HPC Computing in a Post Moore’s Law World (HCPM)

   1. Front Matter

      Pages 87-88

      PDF

   2. Reconfigurable Silicon Photonic Interconnect for Many-Core Architecture

      • Hang Guan, Sébastien Rumley, Ke Wen, David Donofrio, John Shalf, Keren Bergman

      Pages 89-97

   3. Instruction Set Architectures for Quantum Processing Units

      • Keith A. Britt, Travis S. Humble

      Pages 98-105

   4. Eliminating Dark Bandwidth: A Data-Centric View of Scalable, Efficient Performance, Post-Moore

      • Jonathan C. Beard, Joshua Randall

      Pages 106-114

   5. Towards an Integrated Strategy to Preserve Digital Computing Performance Scaling Using Emerging Technologies

      • Dilip Vasudevan, Anastasiia Butko, George Michelogiannakis, David Donofrio, John Shalf

      Pages 115-123

5. HPC I/O in the Data Center (HPC-IODC)

   1. Front Matter

      Pages 125-125

      PDF

   2. HPC I/O in the Data Center Workshop (HPC-IODC)

      • Julian Kunkel, Jay Lofstead, Colin McMurtrie

      Pages 127-131

   3. Simulation of Hierarchical Storage Systems for TCO and QoS

      • Jakob Luettgau, Julian Kunkel

      Pages 132-144

   4. GPU Erasure Coding for Campaign Storage

      • Walker Haddock, Matthew L. Curry, Purushotham V. Bangalore, Anthony Skjellum

      Pages 145-159

   5. PIOM-PX: A Framework for Modeling the I/O Behavior of Parallel Scientific Applications

      • Pilar Gomez-Sanchez, Sandra Mendez, Dolores Rexachs, Emilio Luque

      Pages 160-173

   6. Real-Time I/O-Monitoring of HPC Applications with SIOX, Elasticsearch, Grafana and FUSE

      • Eugen Betke, Julian Kunkel

      Pages 174-186

This book constitutes revised selected papers from 10 workshops that were held as the ISC High Performance 2017 conference in Frankfurt, Germany, in June 2017.
The 59 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They stem from the following workshops: 

Workshop on Virtualization in High-Performance Cloud Computing (VHPC)

Visualization at Scale: Deployment Case Studies and Experience Reports

International Workshop on Performance Portable Programming Models for Accelerators (P^3MA)

OpenPOWER for HPC (IWOPH)

International Workshop on Data Reduction for Big Scientific Data (DRBSD)

International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and  Clouds at Extreme Scale

Workshop on HPC Computing in a Post Moore's Law World (HCPM)

HPC I/O in the Data Center ( HPC-IODC) 

Workshop on Performance and Scalability of Storage  Systems (WOPSSS)

IXPUG: Experiences on Intel Knights Landing at the One Year Mark

International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale (ExaComm)

• computer architecture
• processors
• semantics
• programming languages
• parallel programming
• microprocessor chips
• computer systems
• high performance computing
• cloud computing
• many-core
• program compilers
• programming models
• Graphics Processing Unit
• image processing
• image compression
• data compression
• lossy compressions
• CUDA

• Deutsches Klimarechenzentrum (DKRZ), Hamburg, Germany

  Julian M. Kunkel

• TITECH, Tokyo, Japan

  Rio Yokota

• Department of Computer Science, University of Delaware, Newark, USA

  Michela Taufer

• Lawrence Berkeley National Laboratory, Berkeley, USA

  John Shalf

Policies and ethics