Abstract
The use of computational accelerators such as NVIDIA GPUs and Intel Xeon Phi processors is now widespread in the high performance computing community, with many applications delivering impressive performance gains. However, programming these systems for high performance, performance portability and software maintainability has been a challenge. In this paper we discuss experiences porting applications to the Titan system. Titan, which began planning in 2009 and was deployed for general use in 2013, was the first multi-petaflop system based on accelerator hardware. To ready applications for accelerated computing, a preparedness effort was undertaken prior to delivery of Titan. In this paper we report experiences and lessons learned from this process and describe how users are currently making use of computational accelerators on Titan.
Original language | American English |
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Pages (from-to) | 123-138 |
Number of pages | 16 |
Journal | Computers and Electrical Engineering |
Volume | 46 |
DOIs | |
State | Published - 2015 |
NREL Publication Number
- NREL/JA-2C00-68442
Keywords
- accelerated computing
- code refactoring
- GPU graphics processing units
- high performance computing
- science applications
- software optimization