Men Speaker

About The Workshop

The workshop theme is “High-Performance Systems and Analytics for Big Data” (HPSA). It involves Large-Scale Data Analytics on High-Performance Computing (HPC) clusters optimized for data analysis. HPSA has been identified by Gartner in their infrastructure strategies priority matrix under the rubric of Hyperscale computing, as having transformational importance with their top rating in the 5-10 year timeframe. The potential impact on scientific discovery and economic development from Data Analytics is tremendous.

The workshop features innovative research and development in hardware, algorithms and software for big data systems of transformational capability on computer architectures ranging from commodity clouds, hybrid HPC-clouds, and supercomputers. It aims at performance and security that scales and fully exploit the specialized features (communication, memory, energy, I/O, accelerator) of each different architecture. Studies of new architectures and benchmarking of existing systems will be covered. Applications will range from pleasingly parallel, MapReduce, to Machine Learning (e.g., Random Forest, SVM, Latent Dirichlet Allocation, Clustering and Dimension Reduction), Deep Learning, and Large Graph Analytics.

Our Speakers

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Linton Ward
(Keynote1)

IBM

Building the cognitive platform to accelerate innovation

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Tony Hey
(Keynote2)

UK STFC

Big Scientific Data and Data Science

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Dennis Gannon
(Panel Chair)

Indiana University

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Geoffrey Fox

Indiana University

High Performance Big Data Computing in the Digital Science Center

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Anthony Skjellum

University of Tennessee at Chattanooga

MPI and MPI-like Middleware in the Age of HPC Analytics

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Martin Swany

Indiana University

Hardware-Accelerated Network Microservices for Big Data and Extreme Scale Computing

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Wo Chang

NIST

NIST PWG Big Data Reference Architecture for HPC and Analytics

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Andrew Younge

Sandia

Supporting High Performance Analysts with System Software for Virtualized Supercomputing

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Scott Michael

Indiana University

Indiana University Advanced Cyberinfrastructure

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Jon Weissman

UMN

Geo-Distributed Clouds For Data Analytics

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Piotr Luszczek

UT Knoxville

HPC Autotuning Techniques for Computational Kernels in Data Analytics

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Sean Wang

Fudan University

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Nathan Greeneltch

Intel Corporation

Learn Faster with Intel Data Analytics Acceleration Library (DAAL)

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Takuya Araki

NEC Corporation

SX-Aurora TSUBASA and its application to machine learning

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Wei Wang

Fudan University

The Data placement and transformation in Astronomy data processing

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Weihua Zhang

Fudan University

Eunomia: Scaling Concurrent Search Trees under Contention Using HTM

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Anil Vullikanthi

Virginia Tech

Finding Trees and Anomalous Subgraphs in Parallel

Schedule Detail

  • 8.00 AM-8:10 AM

    Opening Remarks

    Rick Van Kooten

    Vice Provost for Research

    Professor of Physics

    Indiana University
  • 8:10 AM-8:20 AM

    Judy Qiu

    Indiana University
  • 8:20 am – 8:30 am

    Sean Wang

    Fudan University
  • 8:30 am – 9:00 am

    Linton Ward

    IBM (Keynote)
  • 9:00 am – 9:20 am

    Nathan Greeneltch

    Intel
  • 9:20 am – 9:40 am

    Takuya Araki

    NEC
  • 10:00 am – 10:30 am

    Break

  • 10:30 am – 10:50 am

    Anthony Skjellum

    UTC
  • 10:50 am – 11:10 am

    Andrew Younge

    Sandia
  • 11:10 am – 11:30 am

    Anil Vullikanti

    Virginia Tech
  • 11:30 am – 11:50 am

    Albert Jonathan

    Univ. of Minnesota
  • 12:00 pm – 1:00 pm

    Lunch

  • 1:10 pm – 1:40 pm

    Tony Hey

    UK STFC (Keynote)
  • 1:40 pm – 2:00 pm

    Piotr Luszczek

    ORNL/Tennessee
  • 2:00 pm – 2:20 pm

    Scott Michael

    UITS
  • 2:20 pm – 2:40 pm

    Wo Chang

    NIST
  • 2:40 pm – 3:00 pm

    Break

  • 3:00 pm – 3:20 pm

    Sean Wang

    Fudan University
  • 3:20 pm – 3:40 pm

    Weihua Zhang

    Fudan University
  • 3:40 pm – 4:00 pm

    Martin Swany

    Indiana University
  • 4:00 pm – 4:20 pm

    Geoffrey Fox

    Indiana University
  • 4:30 pm – 6:00 pm

    Panel Session (Chair: Dennis Gannon)

    Sean Wang, Tony Hey, Wo Chang, Linton Ward, Nathan Greeneltch, Takuya Araki, Judy Qiu
  • 6:30 pm – 8:30 pm

    Dinner

VENUE

Luddy Executive Conference Room 3166

700 N Woodlawn Ave, Bloomington, IN 47408

Stay at Biddle Hotel, IMU

900 E 7th St, Bloomington, IN 47405

FAQ

Have questions about the event? Find answers here.

The workshop theme is “High-Performance Systems and Analytics for Big Data” (HPSA). It involves Large-Scale Data Analytics on High-Performance Computing (HPC) clusters optimized for data analysis. HPSA has been identified by Gartner in their infrastructure strategies priority matrix under the rubric of Hyperscale computing, as having transformational importance on their top rating in the 5-10 year timeframe. The potential impact on scientific discovery and economic development from Data Analytics is tremendous.
The workshop features innovative research and development in hardware, algorithms and software for big data systems of transformational capability on computer architectures ranging from commodity clouds, hybrid HPC-clouds, and supercomputers.
It aims at performance and security that scales and fully exploit the specialized features (communication, memory, energy, I/O, accelerator) of each different architecture. Studies of new architectures and benchmarking of existing systems will be covered. Applications will range from pleasingly parallel, MapReduce, to Machine Learning (e.g., Random Forest, SVM, Latent Dirichlet Allocation, Clustering and Dimension Reduction), Deep Learning, and Large Graph Analytics.
The workshop will happen at Presiden't room, Indiana Memorial Union, Indiana University.
Option 1: Shuttle bus at Zone 1 of the Ground Transportation Center. Indiana Memorial Union (IMU) is a bus stop in Bloomington.
Option 2: Online Reservation of Classic Touch Limousine Service or Toll Free: 800.319.0082.
Option 3: Ride with Uber at Zone A of the Ground Transportation Center.
Option 4: Car rental at the Indianapolis Airport.
Just fill out the form below and you will be all set.