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The Tufts High Performance Compute (HPC) cluster delivers 35,845,920 cpu hours and 59,427,840 gpu hours of free compute time per year to the user community.

Teraflops: 60+ (60+ trillion floating point operations per second) cpu: 4000 cores gpu: 6784 cores Interconnect: 40GB low latency ethernet

For additional information, please contact Research Technology Services at tts-research@tufts.edu


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XSEDE HPC Monthly Workshop - Tues. Nov. 07, 2017 - GPU Computing Using OpenACC
 

Sign Up: URL for signup is provided approximately 2-3 weeks in advance of workshop. Keep watching this space for further details.

Location: Tufts University

Address: Collaborative Learning and Innovation Complex 574 Boston Ave Medford, MA 02155

Map: https://goo.gl/maps/qZnMefhjtdJ2

Another Map: http://campusmaps.tufts.edu/medford/

Collaborative Learning and Innovation Complex (CLIC) http://now.tufts.edu/articles/space-next-generation-thinking

Parking: Guest parking is available adjacent to CLIC however you might also consider Dowling Parking Garage, http://publicsafety.tufts.edu/adminsvc/visitor-parking-58/ which is a short walk away.

Public Transportation: Take the Red Line to Davis Sq. and the Jumbo Shuttle to campus center, a short walk from CLIC. http://publicsafety.tufts.edu/adminsvc/shuttle-services-2/

Questions, comments, concerns: shawn.doughty@tufts.edu

Description: OpenACC is the accepted standard using compiler directives to allow quick development of GPU capable codes using standard languages and compilers. It has been used with great success to accelerate real applications within very short development periods. This workshop assumes knowledge of either C or Fortran programming. It will have a hands-on component using the Bridges computing platform at the Pittsburgh Supercomputing Center.


Agenda: All times given are Eastern time

11:00 Welcome

11:15 Computing Environment

11:45 Parallel Computing and Accelerators

12:15 Introduction to OpenACC

1:00 Lunch break

2:00 Introduction to OpenACC, con’t

3:45 Using OpenACC with CUDA Libraries

4:00 Advanced OpenACC

4:30 OpenMP 4.0 Sneak Peek

5:00 Final Notes and Adjourn

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