KFusion: obtaining modularity and performance with regards to general purpose GPU computing and co-processors
Date
2012-12-14
Authors
Kiemele, Liam
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Concurrency has recently come to the forefront of computing as multi-core processors
become more and more common. General purpose graphics processing unit
computing brings with them new language support for dealing with co-processor environments
such as OpenCL and CUDA. Programming language support for multi-core
architectures introduces a fundamentally new mechanism for modularity--a kernel.
Developers attempting to leverage these mechanism to separate concerns often
incur unanticipated performance penalties. My proposed solution aims to preserve
the benefits of kernel boundaries for modularity, while at the same time eliminate
these inherent costs at compile time and execution.
KFusion is a prototype tool for transforming programs written in OpenCL to make
them more efficient. By leveraging loop fusion and deforestation, it can eliminate the
costs associated with compositions of kernels that share data. Case studies show that
Kfusion can address key memory bandwidth and latency bottlenecks and result in
substantial performance improvements.
Description
Keywords
modularity, performance, OpenCL, concurrency, parallelism