Name
Abstract | ||
|---|---|---|
Developing code for SIMD type hardware architectures is a tedious job. This is caused by the absence of both a coherent methodological framework and a hardware independent tooling. Moreover, the inherently difficult nature of programming dedicated massively parallel embedded processors, complicates the matter. This paper describes a single framework, called IRIS, to generate code for SIMD architectures. This framework is illustrated with a concrete case "Stochastic Image Quantisation". IRIS is based on an incremental construction of executable representations, which converge to the final target implementation in a semi-automated way. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/DSD.2008.58 | DSD |
Keywords | Field | DocType |
hardware architecture,design methodology,functional languages,pixel,hardware,embedded processor,quantization,code generation,computer architecture,iris,functional language,firmware | Computer architecture,Functional programming,Computer science,Massively parallel,Parallel computing,SIMD,Design methods,Code generation,Quantization (signal processing),Executable,Firmware | Conference |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jan W. M. Jacobs | 1 | 2 | 1.44 |
| Leroy van Engelen | 2 | 1 | 0.72 |
| Jan Kuper | 3 | 92 | 8.75 |
| Gerard J. M. Smit | 4 | 888 | 89.18 |
| Rui Dai | 5 | 49 | 14.71 |