Programming models, compilers, and runtime systems for accelerator computing

Accelerators, such as GPUs and Intel Xeon Phis, have become the workhorses of high-performance computing. Typically, the accelerators act as co-processors, with discrete memory spaces. They possess massive parallelism, along with many other unique architectural features. In order to obtain high performance, these features must be carefully exploited, which requires high programmer expertise. This thesis presents new programming models, and the necessary compiler and runtime systems to ease the accelerator programming process, while obtaining high performance.

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Year

2016

Author dc:creator

• Sabne, Amit

Contributors dc:contributor

• Rudolf Eigenmann
• Milind Kulkarni
• Samuel Midkiff
• Anand Raghunathan

• accelerators
• autotuning
• cluster computing
• compiler translations and optimizations
• high-performance computing
• programming models

Repository record dc:identifier

https://docs.lib.purdue.edu/open_access_dissertations/1396

OAI identifier oai:identifier

oai:docs.lib.purdue.edu:open_access_dissertations-2612