Date: 06 Jun 2014
From: jyrki@di.ku.dk
Subject: Master's thesis defence on parallel programming

Oral defence of master's thesis: GPU programming made easier

Defender: Jacob Jepsen
Censor: Jesper Larsson Träff
Supervisor: Jyrki Katajainen

Time: Friday, 6 June 2014 at 13.15 - 15.15
Place: Lille auditorium, Universitetsparken 1

Abstract:

We present a framework that aids the programmer in the development of 
GPU-executable code. We implement a catalogue of common optimizations 
specific to the GPU architecture. Through the framework, the programmer 
can semi-automatically apply the optimizations to a 
computationally-intensive code section and generate an equivalent 
GPU-executable code section. Based on our experiments, the generated 
code can be up to one order of magnitude faster than the code from 
equivalent frameworks and optimized CPU code, and it can attain close to 
25\% of peak performance of the GPU. We also found that many of the 
transformations can be performed automatically, which makes our 
framework usable for both novices and experts in GPU programming. 
Finally, we contribute with our experiences in creating such frameworks.

The thesis is available online at
http://www.diku.dk/forskning/performance-engineering/Jacob/

PE-lab's home page: http://www.diku.dk/forskning/performance-engineering/