Dynamic languages typically allow programs to be written at a very high level of abstraction. But their dynamic nature makes it very hard to compile such languages, meaning that a price has to be paid in terms of performance. However under certain restricted conditions compilation is possible. In this paper we describe how a domain specific language for image processing in Python can be compiled for execution on high speed graphics processing units. Previous work on similar problems have used either translative or generative compilation methods, each of which has its limitations. We propose a strategy which combine these two methods thereby achieving the benefits of both. Copyright 2006 ACM.
|Research areas and keywords
- Graphics processing units (GPU), Compilation, Dynamic languages, Generative techniques
|Title of host publication||Proceedings of the ACM Symposium on Applied Computing|
|Publication status||Published - 2006|
|Event||2006 ACM Symposium on Applied Computing - Dijon, France|
Duration: 2006 Apr 23 → 2006 Apr 27
|Conference||2006 ACM Symposium on Applied Computing|
|Period||2006/04/23 → 2006/04/27|
Related research output
Lejdfors, C., 2008
, 120 p.
Research output: Thesis › Doctoral Thesis (compilation)
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