ARC-TS continues to expand Machine Learning and GPU capability

By | Flux, General Interest, Happenings, HPC, News

Advanced Research Computing – Technology Services (ARC-TS) is pleased to announce the addition of 12 new NVIDIA TITANV Volta class GPUs to our Flux HPC computing cluster.

The new GPUs are spread across three nodes with four cards each. Each card has 12GB of memory, and over 5,100 CUDA cores. These cards bring the new NVIDIA “tensor core” to over 100 Teraflops, which will benefit certain types of machine learning jobs. The new cards will also provide the highest single and double precision performance of any GPU offered on Flux.

The new GPUs will augment our existing K40 and other GPUs, bringing the total GPU count on Flux and Armis to over 50 cards available to the U-M research community. Users of FluxG can access the new TITANV GPUs using the example on our our website or if you have any question, please contact us at hpc-support@umich.edu.

NVIDIA, IBM info session on new technology for HPC & life science research

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Join us for a special IBM High Performance Computing event with NVIDIA!

Dramatic shifts in the information technology industry offer new kinds of performance capabilities and throughput. Professionals in HPC, Deep Learning, Big Data Analytics and Life Sciences are cordially invited to learn more about industry trends & directions and IT solutions from NVIDIA and IBM.

PRESENTERS

  • Brad Davidson  NVIDIA Senior Solutions Architect
  • Janis Landry-Lane – IBM Worldwide Program Director for Genomic Medicine
  • Jane Yu – IBM Worldwide Team Lead, Translational Medicine Solutions

Allow us to inform you on how we are partnering to build a scalable-technology infrastructure to support HPC and Genomic Medicine that can help dramatically improve outcomes worldwide. The requirements of HPC and Genomics applications are pushing the limits of current infrastructure capabilities. Through our OpenPower Foundation partnership, IBM and NVIDIA are delivering solutions to help meet those needs.

AGENDA

  • 8:30 – Sign in
  • 9:00 – Current Challenges in Genomics & Translational Medicine: Big Data Analytics
     Industry Example: Healthcare & Life Sciences or other relevant industries
  • 9:30 – IBM Systems Reference Architecture to support Big Data Analytics
     Industry Example: Healthcare & Life Sciences and other relevant industries
  • 10:00 – IBM POWER with CAPI FPGA
  • 10:30 – NVIDIA GPU with NV-Link
  • 11:00 – IBM Spectrum Storage – Spectrum Scale & Hybrid Cloud
  • 11:30 – IBM Software Defined Infrastructure – Spectrum LSF; Spectrum Conductor
  • 12:00 – Lunch

Registration is mandatory to attend. Seating is limited. Please RSVP as soon as possible.

_____

Lunch will be provided.

NVIDIA, IBM info session on new technology for HPC & life science research — Jan 24

By | Educational, General Interest, News

Join us for a special IBM High Performance Computing event with NVIDIA!

Dramatic shifts in the information technology industry offer new kinds of performance capabilities and throughput. Professionals in HPC, Deep Learning, Big Data Analytics and Life Sciences are cordially invited to learn more about industry trends & directions and IT solutions from NVIDIA and IBM.

PRESENTORS

  • Brad Davidson – NVIDIA Senior Solutions Architect
  • Janis Landry-Lane – IBM Worldwide Program Director for Genomic Medicine
  • Jane Yu – IBM Worldwide Team Lead, Translational Medicine Solutions

For more information, visit our event page.

NVIDIA accepting applications for Graduate Fellowship Program

By | Educational, Funding Opportunities, General Interest, News

NVIDIA has launched its 16th Annual Graduate Fellowship Program, which awards grants and technical support to graduate students who are doing outstanding GPU-based research.

This year NVIDIA is especially seeking doctoral students pushing the envelope in artificial intelligence, deep neural networks, autonomous vehicles, and related fields. The Graduate Fellowship awards are now up to $50,000 per student. These grants will be awarded in the 2017-2018 academic year.

Since its inception in 2002, the NVIDIA Graduate Fellowship Program has awarded over 130 Ph.D. graduate students with grants that have helped accelerate their research efforts.

The NVIDIA Graduate Fellowship Program is open to applicants worldwide. The deadline for submitting applications is Jan. 16, 2017. Eligible graduate students will have already completed their first year of Ph.D. level studies in the areas of computer science, computer engineering, system architecture, electrical engineering or a related area. In addition, applicants must also be engaged in active research as part of their thesis work.

For more information on eligibility and how to apply, visit http://research.nvidia.com/relevant/graduate-fellowship-program or email fellowship@nvidia.com.

U-M software package HOOMD-blue chosen as benchmark for new GPU performance by NVIDIA

By | General Interest, News

HOOMD-blue, a University of Michigan-produced software package for particle simulation, was chosen as one of seven benchmark applications to demonstrate the speed of NVIDIA’s new Tesla P100 GPU.

HOOMD-blue was developed by Prof. Sharon Glotzer’s research group. It lets users define particle initial conditions and interactions in a high-level Python script. Python job scripts provide the flexibility to create custom initialization routines, control simulation parameters, and perform in situ analysis.

Webinars title “Introduction to HOOMD-blue” and “Using HOOMD-blue for Polymer Simulations and Big Systems” are available for viewing.