High Performance Computing

1. Front Matter

   Pages I-XXII

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2. HPC I/O in the Data Center Workshop (HPC-IODC 2018)

   1. Front Matter

      Pages 1-7

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   2. Analyzing the I/O Scalability of a Parallel Particle-in-Cell Code

      • Sandra Mendez, Nicolay J. Hammer, Anupam Karmakar

      Pages 9-22

   3. Cost and Performance Modeling for Earth System Data Management and Beyond

      • Jakob Lüttgau, Julian Kunkel

      Pages 23-35

   4. I/O Interference Alleviation on Parallel File Systems Using Server-Side QoS-Based Load-Balancing

      • Yuichi Tsujita, Yoshitaka Furutani, Hajime Hida, Keiji Yamamoto, Atsuya Uno, Fumichika Sueyasu

      Pages 36-48

   5. Tools for Analyzing Parallel I/O

      • Julian Martin Kunkel, Eugen Betke, Matt Bryson, Philip Carns, Rosemary Francis, Wolfgang Frings et al.

      Pages 49-70

3. Workshop on Performance and Scalability of Storage Systems (WOPSSS 2018)

   1. Front Matter

      Pages 71-74

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   2. Understanding Metadata Latency with MDWorkbench

      • Julian Martin Kunkel, George S. Markomanolis

      Pages 75-88

   3. From Application to Disk: Tracing I/O Through the Big Data Stack

      • Robert Schmidtke, Florian Schintke, Thorsten Schütt

      Pages 89-102

   4. IOscope: A Flexible I/O Tracer for Workloads’ I/O Pattern Characterization

      • Abdulqawi Saif, Lucas Nussbaum, Ye-Qiong Song

      Pages 103-116

   5. Exploring Scientific Application Performance Using Large Scale Object Storage

      • Steven Wei-der Chien, Stefano Markidis, Rami Karim, Erwin Laure, Sai Narasimhamurthy

      Pages 117-130

   6. Benefit of DDN’s IME-FUSE for I/O Intensive HPC Applications

      • Eugen Betke, Julian Kunkel

      Pages 131-144

   7. Performance Study of Non-volatile Memories on a High-End Supercomputer

      • Leonardo Bautista Gomez, Kai Keller, Osman Unsal

      Pages 145-156

   8. Self-optimization Strategy for IO Accelerator Parameterization

      • Lionel Vincent, Mamady Nabe, Gaël Goret

      Pages 157-170

4. 13th Workshop on Virtualization in High-Performance Cloud Computing (VHPC 2018)

   1. Front Matter

      Pages 171-172

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   2. utmem: Towards Memory Elasticity in Cloud Workloads

      • Aimilios Tsalapatis, Stefanos Gerangelos, Stratos Psomadakis, Konstantinos Papazafeiropoulos, Nectarios Koziris

      Pages 173-183

   3. Efficient Live Migration of Linux Containers

      • Radostin Stoyanov, Martin J. Kollingbaum

      Pages 184-193

5. Third International Workshop on In Situ Visualization: Introduction and Applications (WOIV 2018)

   1. Front Matter

      Pages 195-199

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   2. Coupling the Uintah Framework and the VisIt Toolkit for Parallel In Situ Data Analysis and Visualization and Computational Steering

      • Allen Sanderson, Alan Humphrey, John Schmidt, Robert Sisneros

      Pages 201-214

   3. Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation

      • James Kress, Jong Choi, Scott Klasky, Michael Churchill, Hank Childs, David Pugmire

      Pages 215-229

This book constitutes the refereed post-conference proceedings of 13 workshops held at the 33rd International ISC High Performance 2018 Conference, in Frankfurt, Germany, in June 2018: HPC I/O in the Data Center, HPC-IODC 2018; Workshop on Performance and Scalability of Storage Systems, WOPSSS 2018; 13th Workshop on Virtualization in High­-Performance Cloud Computing, VHPC 2018; Third International Workshop on In Situ Visualization, WOIV 2018; 4th International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale, ExaComm 2018; International  Workshop on OpenPOWER for HPC, IWOPH 2018;  IXPUG Workshop: Many-Core Computing on Intel Processors; Workshop on Sustainable Ultrascale Computing Systems; Approximate and Transprecision Computing on Emerging Technologies, ATCET 2018; First Workshop on the Convergence of Large-Scale Simulation and Artificial Intelligence; Third Workshop for Open Source Supercomputing, OpenSuCo 2018; First Workshop on Interactive High-Performance Computing; Workshop on Performance Portable Programming Models for Accelerators, P^3MA 2018. 

The 53 full papers included in this volume were carefully reviewed and selected from 80 submissions. They cover all aspects of research, development, and application of large-scale, high performance experimental and commercial systems. Topics include HPC computer architecture and hardware; programming models, system software, and applications; solutions for heterogeneity, reliability, power efficiency of systems; virtualization and containerized environments; big data and cloud computing; and artificial intelligence.

• artificial intelligence
• cloud computing
• computer systems
• gpu
• hardware
• High-Performance Computing (HPC)
• HPC algorithms
• HPC applications
• image processing
• microprocessor chips
• parallel file system
• parallel processing systems
• parallel programming
• performance modeling
• processors
• program compilers
• programming languages
• programming models
• semantics

• Tokyo Institute of Technology, Tokyo, Japan

  Rio Yokota

• University of Edinburgh, Edinburgh, UK

  Michèle Weiland

• Lawrence Berkeley National Laboratory, Berkeley, USA

  John Shalf

• Swiss National Supercomputing Centre, Lugano, Switzerland

  Sadaf Alam

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