Scientific Computing on Hybrid Architectures
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing
Uppsala University, 2013
@phdthesis{holm2013scientific,
title={Scientific Computing on Hybrid Architectures},
author={Holm, Marcus},
year={2013},
school={Uppsala University}
}
Modern computer architectures, with multicore CPUs and GPUs or other accelerators, make stronger demands than ever on writers of scientific code. Normally, the most efficient program has to be written – using a substantial effort – by expert programmers for a certain application on a particular computer. This thesis deals with several algorithmic and technical approaches towards effectively satisfying the demand for high performance parallel scientific applications on hybrid computer architectures without incurring such a high cost in expert programmer time. Efficient programming is accomplished by writing performanceportable code where performance-critical functionality is provided either by an optimized library or by adaptively selecting which computational tasks that are executed on the CPU and the accelerator.
June 7, 2013 by hgpu
