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
OpenACC 2017
XSEDE HPC Monthly Workshop - Thu. Mar. 30, 2017 - GPU Computing Using OpenACC
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Info:Â https://portal.xsede.org/course-calendar/-/training-user/class/541/session/1181/
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/parking-garages/, 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:Â 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.
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
For additional information, please contact Research Technology Services at tts-research@tufts.edu