
Workshop Presentations
WORKS 2017 (12th Workshop on Workflows in Support of Large-Scale Science)
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Introduction - WORKS 2017 (12th Workshop on Workflows in Support of Large-Scale Science)
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Budget-Aware Scheduling Algorithms for Scientific Workflows on IaaS Cloud Platforms
Yves Robert (ENS Lyon, University of Tennessee)
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Tracking of Online Parameter Fine-Tuning in Scientific Workflows
Marta Mattoso (Federal University of Rio de Janeiro)
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Toward Preserving Results Confidentiality in Cloud-Based Scientific Workflows
Daniel de Oliveira (Fluminense Federal University)
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Supporting Task-level Fault-Tolerance in HPC Workflows by Launching MPI Jobs inside MPI Jobs
Matthieu Dorier (Argonne National Laboratory)
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A Compiler Transformation-Based Approach to Scientific Workflow Enactment
Matthias Janetschek (University of Innsbruck)
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e-Science Central Workflows for Stream Processing: Adding Streaming Support to an Existing Workflow System
Simon Woodman (Newcastle University)
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rvGAHP – Push-Based Job Submission Using Reverse SSH Connections
Scott Callaghan (University of Southern California)
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E-HPC: A Library for Elastic Resource Management in HPC Environments
Devarshi Ghoshal (Lawrence Berkeley National Laboratory), William Fox (Georgia Institute of Technology; University of California, San Francisco)
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Processing of Crowd-Sourced Data from an Internet of Floating Things
Raffaele Montella (Parthenope University of Naples)
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Lightweight Container Integration into Workflow Systems: A First Look at Singularity and Makeflow
Kyle Sweeney (University of Notre Dame)
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On the Use of Burst Buffers for Accelerating Data-Intensive Scientific Workflows
Rafael Ferreira da Silva (University of Southern California)
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Extreme Scale Data Management for In-Situ Scientific Workflows
Manish Parashar (Rutgers University)
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Heuristic Dynamic Workflow Scheduling
Kris Bubendorfer (Victoria University of Wellington)
1st International Workshop on Software Correctness for HPC Applications (Correctness 2017)
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Introduction - 1st International Workshop on Software Correctness for HPC Applications (Correctness 2017)
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Verifying Concurrency in an Adaptive Ocean Circulation Model
Alper Altuntas (National Center for Atmospheric Research)
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Quality Assurance and Error Identification for the Community Earth System Model
Allison H. Baker (National Center for Atmospheric Research)
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A Family of Provably Correct Algorithms for Exact Triangle Counting
Tze Meng Low (Carnegie Mellon University)
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Verifying MPI Applications with SimGridMC
Martin Quinson (ENS Rennes)
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Runtime Correctness Checking for Emerging Programming Paradigms
Joachim Protze (RWTH Aachen University)
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Verifying the Floating-Point Computation Equivalence of Manually and Automatically Differentiated Code
Markus Schordan (Lawrence Livermore National Laboratory)
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Towards Self-Verification in Finite Difference Code Generation
Jan Huckelheim (Imperial College, London)
ESPM2 2017: Third International Workshop on Extreme Scale Programming Models and Middleware
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ESPM2'17: Opening Remarks
Hari Subramoni (Ohio State University), Karl Schulz (Intel Corporation), Dhabaleswar Panda (Ohio State University)
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Challenges in Programming Extreme Scale Systems
William Gropp (University of Illinois)
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Addressing Global Data Dependencies in Heterogeneous Asynchronous Runtime Systems on GPUs
Bradley Peterson (University of Utah, Scientific Computing and Imaging Institute)
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HPX Smart Executors
Zahra Khatami (Louisiana State University)
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Integrating OpenMP into the Charm++ Programming Model
Seonmyeong Bak (University of Illinois)
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Chapel-on-X: Exploring Tasking Runtimes for PGAS Languages
Akihiro Hayashi (Rice University)
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Automatic Risk-Based Selective Redundancy for Fault-Tolerant Task-Parallel HPC Applications
Omer Subasi (Pacific Northwest National Laboratory)
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Verification of the Extended Roofline Model for Asynchronous Many Task Runtimes
Joshua Suetterlein (University of Delaware)
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Extending the Open Community Runtime with External Application Support
Jiri Dokulil (University of Vienna)
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Effective Programming Models for Deep Learning at Scale
Daniel Holmes (University of Edinburgh), Michael Houston (Nvidia Corporation), Prabhat M (Lawrence Berkeley National Laboratory), Jeffrey M. Squyres (Cisco Systems), Rick Stevens (Argonne National Laboratory)
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ESPM2'17: Closing Remarks
Hari Subramoni (Ohio State University), Karl Schulz (Intel Corporation), Dhabaleswar K. Panda (Ohio State University)
ISAV 2017: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
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Introduction - ISAV 2017: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
E. Wes Bethel (Lawrence Berkeley National Laboratory)
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Keynote: Computing Ubiquitous Statistics: Computational Challenges
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Scalable In Situ Analysis of Molecular Dynamics Simulations
Preeti Malakar (Argonne National Laboratory)
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In Situ Visualization of Radiation Transport Geometry
Mark Kim (Oak Ridge National Laboratory)
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Cosmological Particle Data Compression in Practice
James Ahrens (Los Alamos National Laboratory)
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Flexible In Situ Visualization of LAMMPS Simulations
Will Usher (University of Utah)
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realfast@VLA
Martin Pokorny (National Radio Astronomy Observatory)
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In Situ Visualization with Task-Based Parallelism
Alan Heirich (Stanford University, SLAC National Accelerator Laboratory)
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In Situ Workflows at Exascale: System Software to the Rescue
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A Novel Shard-Based Approach for Asynchronous Many-Task Models for In Situ Analysis
Philippe P. Pébaÿ (Sandia National Laboratories)
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Faodail: Enabling In Situ Analytics for Next-Generation Systems
Patrick M. Widener (Sandia National Laboratories)
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Parallel Streaming for In Transit Analysis with Heterogeneous Data Layout
Thomas Marrinan (University of St. Thomas)
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In Situ Summarization with VTK-m
Andrew Bauer (Kitware Inc)
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Performance Impacts of In Situ Wavelet Compression on Scientific Simulations
Shaomeng Li (National Center for Atmospheric Research, University of Oregon)
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The ALPINE In Situ Infrastructure: Ascending from the Ashes of Strawman
Matthew C. Larsen (Lawrence Livermore National Laboratory)
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Data Analysis of Earth System Simulation within an In Situ Infrastructure
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Discussion/Open Mic Session/Closing Remarks
The 2017 International Workshop on Software Engineering for High Performance Computing in Computational and Data-Enabled Science and Engineering (SE-CoDeSE 2017)
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Introduction - The 2017 International Workshop on Software Engineering for High Performance Computing in Computational and Data-Enabled Science and Engineering (SE-CoDeSE 2017)
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Software Engineering for Computational Science and Engineering: What Can Work and What Will Not
Michael A. Heroux (Sandia National Laboratories, St. John’s University)
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Position Paper: Experiences on Clustering High-Dimensional Data Using pbdR
Sadika Amreen (University of Tennessee)
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Position Paper: Software Engineering for Efficient Development of Flexible Numerical Software
Nathan Wukie (University of Cincinnati)
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pFlogger: The Parallel Fortran Logging Framework for HPC Applications
Thomas Clune (NASA Goddard Space Flight Center)
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Proposal for a Scientific Software Lifecycle Model
Anshu Dubey (Argonne National Laboratory, University of Chicago)
The Eighth International Workshop on Data-Intensive Computing in the Clouds
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Introduction - The Eighth International Workshop on Data-Intensive Computing in the Clouds
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Submarine: A Subscription-Based Data Streaming Framework for Integrating Large Facilities and Advanced Cyberinfrastructure
Daniel Balouek-Thomert (Rutgers University)
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Enosis: Bridging the Semantic Gap between File-Based and Object-Based Data Models
Anthony Kougkas (Illinois Institute of Technology)
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Open Ethernet Drive: Evolution of Energy-Efficient Storage Technology
Hariharan Devarajan (Illinois Institute of Technology)
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Multiple Stream Job Performance Optimization with Source Operator Graph Transformations
Miyuru Dayarathna (WSO2 Inc)
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Reliable Access to Massive Restricted Texts: Experience-Based Evaluation
Zong Peng (Indiana University)
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Seamless Infrastructure Customization and Performance Optimization for Time-Critical Services in Data Infrastructures
Spiros Koulouzis (University of Amsterdam), Zhiming Zhao (University of Amsterdam)
Women in HPC: Diversifying the HPC Community
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Introduction - Women in HPC: Diversifying the HPC Community
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Self Branding and Advocacy: How to Get Known in Your Organization and Push Your Ideas Forward
Kelly Nolan (Talent Strategy)
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Early Career Coaching
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Morning Break
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Negotiation Skills
Deb Goldfarb (Intel Corporation)
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Hints and Tips for Public Speaking
Kelly Gaither (University of Texas)
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How to Take the Next Step in Your Career
Elsa Gonsiorowski (Lawrence Livermore National Laboratory)
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Effective Workplace Communication
Rebecca Hartman-Baker (Lawrence Berkeley National Laboratory)
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Overcoming the Confidence Gap
Fernanda Foertter (Oak Ridge National Laboratory)
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How to Find the Help You Need – Identifying Mentors and Those Who Can Help You in Your Career
Misbah Mubarak (Argonne National Laboratory)
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Career Panel Discussion: Hints and Tips to Progress Your Career
Toni Collis (University of Edinburgh), Kelly Gaither (University of Texas), Deb Goldfarb (Intel Corporation), Elsa Gonsiorowski (Lawrence Livermore National Laboratory), Rebecca Hartman-Baker (Lawrence Berkeley National Laboratory), Fernanda Foertter (Oak Ridge National Laboratory), Misbah Mubarak (Argonne National Laboratory)
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Speed Networking
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Lunch (participants on their own)
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Early Career Lightning Talks
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Virtual Poster Networking and Mixer
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Afternoon Break
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Embracing Diversity: the Benefits
Toni Collis (University of Edinburgh)
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The Benefits of Mentoring: Why and How to Set Up a Program
Scott Callaghan (University of Southern California)
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Why Subtle Bias is Often Worse than Blatant Discrimination
Lorna Rivera (Georgia Institute of Technology)
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Identifying the Roadblocks Facing Women in your Workforce
Lee Beausoleil (US Department of Defense)
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Building a Community: Outreach Strategies for Coordinating a Local WHPC Program
Marisa Brazil (Purdue University)
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From Outreach to Education to Researcher: Innovative Ways of Expanding the HPC Community
Nick Brown (University of Edinburgh)
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Panel Discussion: Diversifying the HPC workforce
Kelly Gaither (University of Texas), Toni Collis (University of Edinburgh), Scott Callaghan (University of Southern California), Lorna Rivera (Georgia Institute of Technology), Lee Beausoleil (US Department of Defense), Marisa Brazil (Purdue University), Nick Brown (University of Edinburgh)
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Workshop Outcomes and Closing
Toni Collis (University of Edinburgh)
Workshop on Memory Centric Programming for HPC
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Opening Remarks: MCHPC'17: Workshop on Memory Centric Programming for HPC
Yonghong Yan (University of South Carolina)
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Keynote: Compiler and Runtime Challenges for Memory Centric Programming
Vivek Sarkar (Georgia Institute of Technology)
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Break
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Invited Talk: Persistent Memory: The Value to HPC and the Challenges
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Bit Contiguous Memory Allocation for Processing In Memory
John Leidel (Tactical Computing Laboratories)
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Beyond 16GB: Out-of-Core Stencil Computations
Istvan Z. Reguly (Pazmany Peter Catholic University)
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NUMA Distance for Heterogeneous Memory
Michael Lang (Los Alamos National Laboratory)
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Evaluating GPGPU Memory Performance Through the C-AMAT Model
Hariharan Devarajan (Illinois Institute of Technology)
8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems
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Introduction - 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems
Vassil Alexandrov (Barcelona Supercomputing Center)
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Keynote - Application Development Framework for Manycore Architectures on Post-Peta/Exascale Systems
Kengo Nakajima (University of Tokyo)
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Dynamic Task Discovery in PaRSEC- A Data-Flow Task-Based Runtime
Reazul Hoque (University of Tennessee)
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Keynote - Breakthrough Science at the Exascale
Katherine Yelick (Lawrence Berkeley National Laboratory)
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Flexible Batched Sparse Matrix-Vector Product on GPUs
Hartwig Anzt (University of Tennessee, Karlsruhe Institute of Technology)
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Snowpack: Efficient Parameter Choice for GPU Kernels via Static Analysis and Statistical Prediction
Ignacio Laguna (Lawrence Livermore National Laboratory)
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Leveraging NVLINK and Asynchronous Data Transfer to Scale Beyond the Memory Capacity of GPUs
David Appelhans (IBM)
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Application of a Communication-Avoiding Generalized Minimal Residual Method to a Gyrokinetic Five Dimensional Eulerian Code on ManyCore Platforms
Yasuhiro Idomura (Japan Atomic Energy Agency)
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Parallel Jaccard and Related Graph Clustering Techniques
Alexandre Fender (Nvidia Corporation, University of Versailles)
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Keynote - An Overview of High Performance Computing and Challenges for the Future
Jack Dongarra (University of Tennessee)
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Investigating Half-Precision Arithmetic to Accelerate Dense Linear System Solvers
Azzam Haidar (University of Tennessee)
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Keynote - A Holistic Approach to Advancing Science and Engineering through Extreme-Scale Computing
Michael A. Heroux (Sandia National Laboratories)
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A Highly Scalable, Algorithm-Based Fault-Tolerant Solver for Gyrokinetic Plasma Simulations
Michael Obersteiner (Technical University Munich)
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Analyzing the Criticality of Transient Faults-Induced SDCs on GPU Applications
Paolo Rech (Federal University of Rio Grande do Sul)
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Dynamic Load Balancing of Massively Parallel Unstructured Meshes
Gerrett Diamond (Rensselaer Polytechnic Institute)
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Invited Talk - On Improved Monte Carlo Hybrid Methods for Preconditioner Computations
Vassil Alexandrov (Barcelona Supercomputing Center)
ATIP Workshop on International Exascale and Next-Generation Computing Programs
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Welcome and Introduction
David Kahaner (Asian Technology Information Program)
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China’s New HPC Key Project
Depei Qian (Beihang University, Sun Yat-Sen University)
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Redesigning CAM-SE for Peta-Flops Performance on Sunway TaihuLight
Haohan Fu (Tsinghua University; National Supercomputing Center, Wuxi)
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Scalable Distributed Infrastructure for Data Intensive Science
David Abramson (University of Queensland)
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TSUBAME3.0: A Green, Accelerated, Big-Data Supercomputer
Toshio Endo (Tokyo Institute of Technology)
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HPC Initiatives in India
Rupesh Nasre (Indian Institute of Science)
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KAUST’s HiCMA Library: Hierarchical Computations on Manycore Architectures
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National Strategic Computing Initiative
William Harrod (US Department of Energy)
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Five-minute presentations by young researchers from around the world - part 1
Yulong Ao (Chinese Academy of Sciences), Hailong Yang (Beihang University), Jiajia Li (Georgia Institute of Technology), Hong Wang (Stony Brook University), Lihao Zhang (Stony Brook University), Minh Dinh (University of Queensland), Hoang Nguyen (University of Queensland), Kartik Lakhotia (University of Southern California)
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French HPC Ecosystem and Strategy and the Role of CEA
Jean-Phillippe Nomine (French Alternative Energies and Atomic Energy Commission)
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European Initiative on HPC
Mateo Valero (Barcelona)
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The AlgoWiki Project: an Algorithmic Pillar of Exascale Computing
Vladimir Voevodin (Lomonosov Moscow State University)
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Thoughts on the Path Toward Exascale from a JSC Perspective
Dirk Pleiter (Forschungszentrum Juelich, University of Regensburg)
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Swiss National Programs
Thomas Schulthess (Swiss National Supercomputing Centre)
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ABCI - AI Bridging Cloud Infrastructure for Everyone
Satoshi Sekiguchi (National Institute of Advanced Industrial Science and Technology)
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Five-minute presentations by young researchers from around the world - part 2
Teodor Nikolov (Marie Skłodowska Curie Initial Training Networks), Youenn Lebras (University of Versailles), Ilya Afanasyev (Lomonosov Moscow State University), Canstantino Gomez (Barcelona Supercomputing Center), Daniel Ruiz (Barcelona Supercomputing Center), Amani Alonazi (King Abdullah University of Science & Technology), Dalal Sukkari (King Abdullah University of Science & Technology), Saurabh Hukerikar (Oak Ridge National Laboratory), Rupesh Nasre (Indian Institutes of Technology,)
Fourth Workshop on Accelerator Programming Using Directives (WACCPD)
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Introduction - Fourth Workshop on Accelerator Programming Using Directives (WACCPD)
Guido Juckeland (Helmholtz-Zentrum Dresden-Rossendorf)
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An Example of Porting PETSc Applications to Heterogeneous Platforms with OpenACC
Pi-Yueh Chuang (George Washington University)
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Hybrid Fortran: High Productivity GPU Porting Framework Applied to Japanese Weather Prediction Model
Michel Mueller (Tokyo Institute of Technology)
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Implicit Low-Order Unstructured Finite-Element Multiple Simulation Enhanced by Dense Computation Using OpenACC
Takuma Yamaguchi (University of Tokyo), Kohei Fujita (University of Tokyo, RIKEN)
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The Design and Implementation of OpenMP 4.5 and OpenACC Backends for the RAJA C++ Performance Portability Layer
William Killian (Millersville University of Pennsylvania, University of Delaware)
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Enabling GPU Support for the COMPSs-Mobile Framework
Francesc-Josep Lordan Gomis (Barcelona Supercomputing Center, Polytechnic University of Catalonia)
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Exploration of Supervised Machine Learning Techniques for Runtime Selection of CPU vs GPU Execution in Java Programs
Akihiro Hayashi (Rice University)
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Automatic Testing of OpenACC Applications
Khalid Ahmad (University of Utah)
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Evaluation of Asynchronous Offloading Capabilities of Accelerator Programming Models for Multiple Devices
Christian Terboven (RWTH Aachen University)
IA^3 2017 - 7th Workshop on Irregular Applications: Architectures and Algorithms
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Introduction - IA^3 2017 - 7th Workshop on Irregular Applications: Architectures and Algorithms
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A Taxonomy of HPDA Algorithms
Steve Conway (Hyperion Research)
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Accelerating Energy Games Solvers on Modern Architectures
Andrea Formisano (University of Perugia)
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Overcoming Load Imbalance for Irregular Sparse Matrices
Goran Flegar (Jaume I University)
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Progressive Load Balancing of Asynchronous Algorithms
Justs Zarins (University of Edinburgh)
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Enabling Work-Efficiency for High Performance Vertex-Centric Graph Analytics on GPUs
Farzad Khorasani (Georgia Institute of Technology)
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Parallel Depth-First Search for Directed Acyclic Graphs
Maxim Naumov (Nvidia Corporation)
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Optimizing Word2Vec Performance on Multicore Systems
Vasudevan Rengasamy (Pennsylvania State University)
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Spherical Region Queries on Multicore Architectures
Hao Lu (Oak Ridge National Laboratory)
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Quantum Computing and Irregular Applications
Fred Chong (University of Chicago)
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An Efficient Data Layout Transformation Algorithm for Locality-Aware Parallel Sparse FFT
Sunita Chandrasekaran (University of Delaware)
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A Case for Migrating Execution for Irregular Applications
Peter Kogge (University of Notre Dame)
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Pressure-Driven Hardware Managed Thread Concurrency for Irregular Applications
John Leidel (Texas Tech University)
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Evaluation of Knight Landing High Bandwidth Memory for HPC Workloads
Yonghong Yan (University of South Carolina)
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IA^3 Debate
Ruud Van Der Pas (Oracle), Franz Franchetti (Carnegie Mellon University), Eric Van Hensbergen (ARM Ltd), Richard Vuduc (GeorGgia Institute of Technology)
LLVM-HPC2017: Fourth Workshop on the LLVM Compiler Infrastructure in HPC
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Introduction - LLVM-HPC2017: Fourth Workshop on the LLVM Compiler Infrastructure in HPC
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Heterogeneous Parallel Virtual Machine and Parallelism in LLVM
Vikram Adve (University of Illinois)
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How The Flang Frontend Works - Introduction to the Interior of the Open-Source Fortran Frontend for LLVM
Paul Osmialowski (ARM Ltd)
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Benchmarking and Evaluating Unified Memory for OpenMP GPU Offloading
Lingda Li (Brookhaven National Laboratory)
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PACXXv2 + RV -- An LLVM-Based Portable High-Performance Programming Model
Michael Haidl (University of Munster)
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OpenMPIR
George Stelle (Los Alamos National Laboratory)
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An LLVM Instrumentation Plug-In for Score-P
Ronny Tschueter (Technical University Dresden)
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QUARC: An Optimized DSL Framework Using LLVM
Diptorup Deb (University of North Carolina)
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Implementing Implicit OpenMP Data Sharing on GPUs
Gheorghe-Teodor Bercea (IBM)
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Applying Temporal Blocking with a Directive-Based Approach
Toshio Endo (Tokyo Institute of Technology)
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LLVM Compiler Implementation for Explicit Parallelization and SIMD Vectorization
Xinmin Tian (Intel Corporation)
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OpenMP 4.5 Validation and Verification Suite
Sunita Chandrasekaran (University of Delaware)
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Developing an OpenMP Runtime for UVM-Capable GPUs
Hashim Sharif (University of Illinois)
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Improved Loop Distribution in LLVM Using Polyhedral Dependences
Tobias Grosser (ETH Zurich)
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Implementation of a Cache Miss Calculator in LLVM/Polly
Keyur Joshi (University of Illinois)
Machine Learning in HPC Environments
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Introduction - Machine Learning in HPC Environments
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Leadership AI - Keynote by Jack Wells - Director of Science - Oak Ridge Leadership Computing Facility
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TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization
Dominik Marek Loroch (Fraunhofer Institute for Industrial Mathematics)
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An Efficient Task-Based All-Reduce for Machine Learning Applications
Zhenyu Li (University of Warwick)
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Accelerating Deep Neural Network Learning for Speech Recognition on a Cluster of GPUs
Guojing Cong (IBM)
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Optimizing Convolutional Neural Networks for Cloud Detection
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Production Deep Learning and Scale - Keynote by Mike Houston - Senior Distinguished Engineer - Deep Learning - Nvidia
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Training Distributed Deep Recurrent Neural Networks with Mixed Precision on GPU Clusters
Alexey Svyatkovskiy (Princeton University)
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Toward Scalable Parallel Training of Deep Neural Networks
Sam Ade Jacobs (Lawrence Livermore National Laboratory)
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BlazingText: Scaling and Accelerating Word2Vec using Multiple GPUs
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An In-Depth Performance Characterization of CPU- and GPU-Based DNN Training on Modern Architectures
Ammar Ahmad Awan (Ohio State University)
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Designing a Synchronization-Reducing Clustering Method on Manycores: Some Issues and Improvements
Weijian Zheng (Indiana University-Purdue University Indianapolis)
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Evolving Deep Networks Using HPC
PAW 2017: The 2nd Annual PGAS Applications Workshop
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Introduction - PAW 2017: The 2nd Annual PGAS Applications Workshop
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Keynote: Shared Memory HPC Programming: Past, Present and Future
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Cosmological Particle-Mesh Simulations in Chapel
Nikhil Padmanabhan (Yale University)
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Graph500 on OpenSHMEM: Using A Practical Survey of Past Work to Motivate Novel Algorithmic Developments
Max Grossman (Rice University)
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Preliminary Performance Evaluation of Coarray-based Implementation of Fiber Miniapp Suite Using XcalableMP PGAS Language
Hitoshi Murai (RIKEN)
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Performance Portability of an Intermediate-Complexity Atmospheric Research Model in Coarray Fortran
Damian Rouson (Sourcery Institute)
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Keynote: How Does PGAS Collaborate with MPI+X?
Mitsuhisa Sato (RIKEN)
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PGAS Applications Workshop Panel
Katherine Yelick (Lawrence Berkeley National Laboratory), William Carlson (Institute for Defense Analyses), Bradford Chamberlain (Cray Inc), Damian Rouson (Sourcery Institute), Mitsuhisa Sato (RIKEN), Anton Shterenlikht (University of Bristol), Lauren Smith (US Department of Defense)
The 8th International Workshop on Performance Modeling, Benchmarking, and Simulation of High Performance Computer Systems (PMBS17)
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Introduction - The 8th International Workshop on Performance Modeling, Benchmarking, and Simulation of High Performance Computer Systems (PMBS17)
Simon D. Hammond (Sandia National Laboratories)
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Evaluating On-Node GPU Interconnects for Deep Learning Workloads
Nathan Tallent (Pacific Northwest National Laboratory)
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Modeling UGAL on the Dragonfly Topology
Md Atiqul Mollah (Florida State University)
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A Performance Study of Quantum ESPRESSO's PWscf Code on Multi-Core and GPU Systems
Joshua Romero (Nvidia Corporation)
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Comparison of Parallelization Approaches, Languages, and Compilers for Unstructured Mesh Algorithms on GPUs
Gabor Daniel Balogh (Pazmany Peter Catholic University)
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Path-Synchronous Performance Monitoring in HPC Interconnection Networks with Source-Code Attribution
Adarsh Yoga (Rutgers University, Hewlett Packard Enterprise)
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Performance and Energy Usage of Workloads on KNL and Haswell Architectures
Tyler Allen (Clemson University)
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A Survey of Application Memory Usage on a National Supercomputer: An Analysis of Memory Requirements on ARCHER
Andrew Turner (University of Edinburgh), Simon McIntosh-Smith (University of Bristol)
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Resilient N-Body Tree Computations with Algorithm-Based Focused Recovery: Model and Performance Analysis
Aurelien Cavelan (University of Basel)
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Multi-Fidelity Surrogate Modeling for Application/Architecture Co-Design
Aravind Neelakantan (University of Florida)
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Modeling Large Compute Nodes with Heterogeneous Memories with the Cache-Aware Roofline Model
Nicolas Denoyelle (French Institute for Research in Computer Science and Automation (INRIA))
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A Scalable Analytical Memory Model for CPU Performance Prediction
Gopinath Chennupati (Los Alamos National Laboratory)
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A Slurm Simulator: Implementation and Parametric Analysis
Nikolay A. Simakov (University at Buffalo)
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Periodic I/O Scheduling for Supercomputers
Guillaume Aupy (French Institute for Research in Computer Science and Automation (INRIA))
Workshop on Education for High Performance Computing (EduHPC)
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Introduction - Workshop on Education for High Performance Computing (EduHPC)
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Vistas in Advanced Computing
Peggy Lindner (University of Houston), Andrea Prosperetti (University of Houston)
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A Path from Serial Execution to Hybrid Parallelization for Learning HPC
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Multidisciplinary Education on Big Data + HPC + Atmospheric Sciences
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Teaching, Learning and Collaborating through Cloud Computing Online Classes
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Teaching Parallel Computing with Container Virtualization
Joshua Higgins (University of Huddersfield)
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The OLCF GPU Hackathon Series: The Story Behind Advancing Scientific Applications with a Sustained Impact
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Parallware Trainer: Interactive Tool for Experiential Learning of Parallel Programming Using OpenMP and OpenACC
Manuel Arenaz (University of A Coruña and Appentra Solutions)
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Lowering Barriers into HPC through Open Education
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A Proposed Model for Teaching Advanced Parallel Computing and Related Topics
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"Peachy Assignments:" A New Edu* Conference Component
David Bunde (Knox College)
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Keynote: Teaching Sound Principles and Good Practices for Parallel Algorithms.
Kunal Agrawal (Washington University in St. Louis)
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Panel: Attracting Women and Underrepresented Minorities to HPC and Data Science
Martina Barnas (Indiana University), Trilce Estrada (University of New Mexico), Sally Goldman (Google)
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Revisions to NSF/IEEE-TCPP Curriculum on Parallel and Distributed Computing (PDC) for Undergraduate Education - Updates on the Curriculum Revision and Audience Comments
Sushil K. Prasad (Georgia State University and NSF), Charles Weems (University of Massachusetts, Amherst)
4th International Workshop on Visual Performance Analytics – VPA 2017
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Introduction - 4th International Workshop on Visual Performance Analytics – VPA 2017
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VPA Keynote by Lucy Nowell
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Toward Aggregated Grain Graphs
Ananya Muddukrishna (Norwegian University of Science and Technology)
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Panel Discussion: Challenges and the Future of HPC Performance Visualization
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Projecting Performance Data Over Simulation Geometry Using SOSflow and Alpine
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Visualizing, Measuring, and Tuning Adaptive MPI Parameters
MTAGS17: 10th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers
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Introduction - MTAGS17: 10th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers
Ke Wang (Microsoft), Vani Mandava (Microsoft)
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Keynote: Cloud based systems and challenges for data rich research workloads
Vani Mandava (Microsoft Research)
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Automated Cluster Provisioning And Workflow Management for Parallel Scientific Applications in the Cloud.
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Two stage cluster for resource optimization with Apache Mesos
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Scylla: A Mesos Framework for Container Based MPI Jobs
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Syndesis: Bridging the Semantic Gap between Object-based and File-based Data Models
The 2nd International Workshop on Data Reduction for Big Scientific Data (DRBSD-2)
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Introduction - The 2nd International Workshop on Data Reduction for Big Scientific Data (DRBSD-2)
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SKA: The Data Domino Enabled by DALiuGE
Andreas Wicenec (University of Western Australia, International Centre for Radio Astronomy Research)
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An Efficient Approach to Lossy Compression with Pointwise Relative Error Bound
Sheng Di (Argonne National Laboratory)
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Data Reduction and Partitioning in an Extreme Scale GPU-Based Clustering Algorithm
Benjamin Welton (University of Wisconsin)
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MGARD: A Multilevel Technique for Compression of Floating-Point Data
Mark Ainsworth (Brown University, Oak Ridge National Laboratory)
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Facing the Big Data Challenge in the Fusion Code XGC
Choongseok Chang (Princeton University)
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Adaptive Compression to Improve I/O Performance for Climate Simulations
Swati Singhal (University of Maryland)
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Lean Visualization of Large Scale Tree-Based AMR Meshes
Philippe P. Pébaÿ (NexGen Analytics)
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Contextual Compression of Large-Scale Wind Turbine Array Simulations
Kenny Gruchalla (National Renewable Energy Laboratory)
SC17 Archive