List of all recorded talks

  • Large-Scale Visual Data Analysis Authors: Chris Johnson, Director, Scientific Computing and Imaging Institute University of Utah
    Modern high performance computers have speeds measured in petaflops and handle data set sizes measured in terabytes and petabytes. Although these machines offer enormous potential for solving very large-scale realistic computational problems, their effectiveness will hinge upon the ability of human experts to interact with their simulation results and extract useful information. One of the greatest scientific challenges of the 21st century is to effectively understand and make use of the vast amount of information being produced. Visual data analysis will be among our most important tools in helping to understand such large-scale information. Our research at the Scientific Computing and Imaging (SCI) Institute at the University of Utah has focused on innovative, scalable techniques for large-scale 3D visual data analysis. In this talk, I will present state-of-the-art visualization techniques, including scalable visualization algorithms and software, cluster-based visualization methods and innovative visualization techniques applied to problems in computational science, engineering, and medicine. I will conclude with an outline for future high performance visualization research challenges and opportunities.
  • Exascale System Software for the Year of the Dragon Authors: Pete Beckman, Director, Exascale Technology and Computing Institute Argonne National Laboratory
    As we look to exascale systems and a new generation of computing hardware begins to take shape, new software challenges have also emerged. It is therefore an exciting year for computer scientists. We must not fear the challenges ahead, but be must be willing to break the rules to achieve our exascale goals. Node architectures are rapidly changing. Every hardware company is looking for ways to squeeze out more performance per Watt. System architects are also working on ways to integrate fast networking and memory, increase parallelism, and manage heterogeneous computing elements. Building special-purpose exascale systems from this new technology will fundamentally change many parts of our system software stack. While it may be years before disruptive and emerging technology paths become clear and architectures converge on fundamental design patterns, there are many exciting areas of advanced research that can be addressed today. Other areas are yet to be explored. This presentation will focus on the areas of system software, that code that sits between the application and the hardware, that must either evolve or be reinvented to reach our computing goals.
  • Building Billion-Threads Computer and Elastic Processor Authors: Guo-Jie Li, Institute for Computing Technology, Chinese Academy of Sciences
    The characteristics of IT applications in the future decades are computing for the masses. What datacenters will deal with is a high number of active users, a high number of applications, a high number of parallel requests, massive amount of data, etc. This challenge is especially serious for China, since there is a huge population. The emergence of Internet-of-Thing makes the class of applications ever more and more, and the ossified computer architecture cannot be suitable for the various niche applications. To address these big issues, Chinese Academy of Sciences (CAS) has started up the Future Information Technology (FIT) Initiative, a 10-year frontier research project for targeting applications and markets of 2020-2030. The State Key Lab on Computer Architecture (CARCH), which is located at the Institute of Computing Technology (ICT) and is the unique SKL in the area of computer architecture in China, is one of major undertakings of the FIT project. The research directions of CARCH include building billion-threads computer, elastic processor, cloud-sea computing, etc. In this talk, we will survey the motivations and basic ideas of these projects. Moreover, we will briefly introduce another foresighted research going on ICT: service-oriented future Internet architecture.
  • TCPP Annual Report & Awards Authors: Ajay Gupta, IEEE Computer Society Technical Committee on Parallel Processing Chair
  • A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers Authors: Michael Anderson (University of California, Berkeley, USA); David Sheffield (University of California, Berkeley, USA); Kurt Keutzer (University of California, Berkeley, USA)
  • A parallel tiled solver for dense symmetric indefinite systems on multicore architectures Authors: Marc Baboulin (INRIA, France); Dulceneia Becker (University of Tennessee, Knoxville, USA); Jack Dongarra (University of Tennessee, Knoxville, USA)
  • A Comprehensive Study of Task Coalescing for Selecting Parallelism Granularity in a Two-Stage Bidiagonal Reduction Authors: Azzam Haidar (University of Tennessee, USA); Hatem Ltaief (KAUST Supercomputing Laboratory, Saudi Arabia); Piotr Luszczek (University of Tennessee, USA); Jack Dongarra (University of Tennessee, Knoxville, USA)
  • Improving the performance of dynamical simulations via multiple right-hand sides Authors: Xing Liu (Georgia Institute of Technology, USA); Edmond Chow (Georgia Institute of Technology, USA); Karthikeyan Vaidyanathan (Intel Corporation, USA); Mikhail Smelyanskiy (Intel, USA)
  • High-Performance Interaction-Based Simulation of Gut Immunopathologies with ENISI Authors: Keith R Bisset (Virginia Tech, USA); Josep Bassaganya-Riera (Virginia Tech, USA); Adria Carbo (Virginia Tech, USA); Stephen Eubank (Virginia Tech, USA); Raquel Hontecillas (Virgina Tech, USA); Stefan Hoops (Virgina Tech, USA); Madhav Marathe (Virginia Tech, USA); Yongguo Mei (Virginia Tech, USA); Katherine Wendelsdorf (Virginia Tech, USA); Dawen Xie (Virginia Tech, USA); Jae-seung Yeom (Virginia Tech, USA)
  • A Parallel Algorithm for Spectrum-based Short Read Error Correction Authors: Ankit Shah (Indian Institute of Technology, Bombay, India); Sriram Chockalingam (Indian Institute of Technology, Bombay, India); Srinivas Aluru (Iowa State University, USA)