2-Day GPU Computing Workshop at Duke University

2-Day GPU Computing Workshop at Duke University

By NVIDIA

Date and time

November 1, 2016 · 9am - November 2, 2016 · 4:30pm EDT

Location

Duke University

Technology Engagement Center 2 Telecom Drive, 1st Floor Classroom Durham, NC 27708

Description

Duke University and NVIDIA are collaborating to host a 2-day, hands-on workshop to survey the broad range of GPU accelerated applications across all domains of scientific research and engineering. This workshop will address topics such as why heterogeneous computing with GPUs is important to sustaining and advancing the state of the art in science and research.

Participants will learn how to program GPUs via the use of libraries, OpenACC compiler directives, and CUDA programming. Hands-on exercises will be incorporated to ensure that participants will have ample opportunities to develop the skills required to use and develop GPU aware applications.

This workshop is for Duke University graduate students, postdocs, researchers, and professors.

Participants are expected to have basic familiarity with C programming and basic linux skills, including understanding how to use a basic linux text editor (e.g. vi). A laptop is required to participate in the hands-on exercises.


AGENDA

DAY 1 - Tuesday, November 1

  • Morning: Introduction to CUDA programming, with hands-on examples
  • Afternoon: CUDA libraries, introduction to graphical tools

DAY 2 - Wednesday, November 2

  • Morning: Introduction to OpenACC programming, with hands-on examples
  • Afternoon: Analysis-driven Optimization exercise

Location of training: Duke University's Technology Engagement Center Classroom (first floor of OIT Telcom Building)

Lunch will be provided. Seating is limited to 25. Please reserve your seat for the days you plan to attend.


About the instructor: Bob Crovella, OEM Technical Enablement Manager at NVIDIA, leads a technical team that's responsible for supporting the sales of GPU Computing products through OEM partners and systems. Bob joined NVIDIA in 1998.

Previously he led a technical team that was responsible for the design-in support of GPU products into OEM systems, working directly with the OEM engineering and technical staffs responsible for their respective products. Bob has also led various design and engineering positions at Chromatic Research, Honeywell, Cincinnati Milacron, and Eastman Kodak.

Bob holds degrees from Rensselaer Polytechnic Institute (M. Eng., Communications and Signal Processing) and The State University of NY at Buffalo (BSEE). He resides with his family in the Dallas, TX area.


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