PDSEC-14 Advance Program

8:05 - 8:10 Welcome and Opening Remarks. Chair: Peter Strazdins
8:10 - 9:00 Keynote talk: Parallel Computing Trends for the Coming Decade
John Shalf
    John is the Chief Technology Officer at NERSC. His background is in electrical engineering:in graduate school at Virginia Tech working on a C-compiler for the SPLASH-2 FPGA-based computing system. John first got started in HPC at the National Center for Supercomputing Applications (NCSA) in 1994, and then developed the Cactus Computational Toolkit the Albert Einstein Institute in Potsdam. John joined Berkeley Lab in 2000. He is a member of the DOE Exascale Steering committee. He currently leads the NERSC Advanced Technology Group (ATG) with projects in Exascale technology research such as CoDEx (CoDesign for Exascale), and the LBNL Green Flash.
9:00 - 9:55 Session 1: Best Papers. Chair: Michelle Strout
  llamaOS: A Solution for Virtualized High-Performance Computing Clusters
William A. Magato, Philip A. Wilsey
    William Magato is a PhD Student at the School of Electronic and Computing Systems, University of Cincinnati
  New Algorithm for Computing Eigenvectors of the Symmetric Eigenvalue Problem
Azzam Haidar, Piotr Luszczek, Jack Dongarra
    Piotr Luszczek has received his doctorate degree for independent research work on sparse direct methods for matrix factorizations that leveraged existing optimized linear algebra kernel codes. In the context of linear algebra and scientific computing, his other interests include out-of-core solvers, hardware and software benchmarking, software self-adaptation and language design issues for He is curently a research director with the the Department of Electrical Engineering and Computer Science, University of Tennessee.
10:25 - 10:30 Announcement of Best Paper Award. Chair: Michelle Strout
10:30 - 12:05 Session 2: Algorithms (I). Chair: Piotr Luszczek
  Exhaustive Key Search on Clusters of GPUs
Davide Barbieri, Valeria Cardellini, Salvatore Filippone
    Salvatore Filippone is a Technical staff member and adjunct professor at the Department of Civil and Computer Engineering of the University of Rome "Tor Vergata". He holds a PhD in mathematics from the University of Rome "Tor Vergata". He is a specialist in numerical linear algebra and high performance computing. Prior to joining the University of Rome he has worked for many years for IBM Co. where he was one of the lead developers of the Engineering and Scientific Subroutine Library (ESSL) and Parallel ESSL products.
  Application Level Fault Recovery: Using Fault-Tolerant Open MPI in a PDE Solver
Md Mohsin Ali, James Southern, Peter E Strazdins, Brendan Harding
    Reter Strazdins received a PhD in Computer Science from The Australian National University in 1990. Since then he has been at the School of Computer Science at ANU and a key member of the ANU-Fujitsu CAP Parallel Computing Project over the years 1990 - 2002. His research interests parallel numerical algorithms and libraries, computer architecture and operating systems for high performance computers, and computer simulation, modelling and performance analysis.
  Nanoscale Cluster Detection in Massive Atom Probe Tomography Data
Sudip Seal, Srikanth B, Yoginath, Michael Miller
    Sudip Seal is a researcher at the Oak Ridge National Laboratory.
  Construction of Porous Networks subjected to Geometric Restrictions by using OpenMP (4.0)
Angel Gonzalez Mendez, Graciela Alonso, Fernando Rojas-González, Miguel A. Castro-García, Manuel Aguilar-Cornejo, Salomón Cordero-Sánchez
    Angel Gonzalez Mendez is a Masters student Department of Electrical Engineering, Universidad Autonoma Metropolitana, Mexico.
13:05 - 15:05 Session 3: Systems and Performance Analysis. Chair: Peter Strazdins
  Integration and Evaluation of Decentralized Fairshare Prioritization (Aequus)
Daniel Espling, Per-Olov Ostberg, Erik Elmroth
    P-O Östberg is Researcher with a PhD degree from UMU and seven years of postgraduate industry experience. He has held visiting researcher positions at Uppsala University, Karolinska Institutet, and the LBNL, and worked in the Swedish government’s strategic eScience research initiative eSSENCE as well as in the EU FP7 project CACTOS. Dr. Östberg’s research interests are in the area of virtual infrastructures for distributed computing with a focus on decentralized resource management systems.
  Coordination Languages and MPI Perturbation Theory: The FOX Tuple Space Framework for Resilience
Jeremiah Wilke
    Dr. Jeremiah Wilke is a researcher at the Scalable Modeling and Analysis Group at Sandia National Laboratories in Livermore CA.
  DisSLib:CC: A Library for Distributed Search with a Central Common Search State
Tyson Kendon, Jörg Denzinger
    Tyson Kendon is a PhD student at the Department of Computer Science University of Calgary
  Improving I/O Performance with Adaptive Data Compression for Big Data Applications
Hongbo Zou, Yongen Yu, Wei Tang
    Dr. Wei Tang is a researcher at Argonne National Laboratory.
  Analysis of MPI Shared-Memory Communication Performance from a Cache Coherence Perspective
Bertrand Putigny, Benoit Ruelle, Brice Goglin
    Bertrand Putigny is a PhD student at Inria Bordeaux - Sud-Ouest, France
15:35 - 17:35 Session 4: Algorithms (II). Chair: Salvatore Filippone
  Acceleration of GPU-based ultrasound simulation via data compression
Andrew A Haigh, Eric C McCreath
    Andrew Haigh is a PhD student at the Computer Systems Group of the Research School of Computer Science at The Australian National University.
  Kd-tree Based N-Body Simulations with Volume-Mass Heuristic on the GPU
Klaus Kofler, Dominik Steinhauser, Biagio Cosenza, Ivan Grasso, Sabine Schindler, Thomas Fahringer
    Ivan Grasso is a PhD student at the University of Innsbruck.
  Nuclear Fusion Simulation Code Optimization and Performance Evaluation on GPU Cluster
Norihisa Fujita, Hideo Nuga, Taisuke Boku, Yasuhiro Idomura
    Norihisa Fujita is a PhD student at the University of Tsukuba.
  Acceleration of a Python-based Tsunami Modelling Application via CUDA and OpenHMPP
Zhe Weng, Peter E Strazdins
    Reter Strazdins received a PhD in Computer Science from The Australian National University in 1990. Since then he has been at the School of Computer Science at ANU and a key member of the ANU-Fujitsu CAP Parallel Computing Project over the years 1990 - 2002. His research interests parallel numerical algorithms and libraries, computer architecture and operating systems for high performance computers, and computer simulation, modelling and performance analysis.
  GPU Enhanced Path Finding for an Unmanned Aerial Vehicle
Roksana Hossain, Sebastian Magierowski, Geoffrey G. Messier
    Roksana Hossain is a PhD student at the Department of Electrical and Computer Engineering, University of Calgary.
17:35 - 17:40 Closing Remarks. Chair: Peter Strazdins