Name
Title | ||
|---|---|---|
The use of configurable computing for computational kernels in scientific simulations |
Abstract | ||
|---|---|---|
In many scientific simulation codes, the bulk of the floating-point arithmetic required is done by a small number of compact computational kernels. In this paper, we explore the potential use of configurable computers to instantiate the hardware required for such kernels and, thus, improve their performance. We present algorithms and analysis for two such kernels: fast, problem-specific multipliers and the efficient evaluation of Taylor series. A novel aspect of the algorithm for Taylor series evaluation is that it takes advantage of the variable precision arithmetic available to a configurable computer. Experimental results obtained on a Xilinx field-programmable gate array (FPGA) are presented for the proposed algorithms. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.future.2004.05.031 | Future Generation Comp. Syst. |
Keywords | Field | DocType |
compact computational kernel,variable precision arithmetic,novel aspect,taylor series evaluation,configurable computing,fpga,efficient evaluation,floating-point arithmetic,polynomial evaluation,xilinx field-programmable gate array,taylor series approximation,configurable computer,taylor series,scientific simulation,floating point arithmetic,field programmable gate array | Small number,Scientific simulation,Computer science,Variable precision,Parallel computing,Field-programmable gate array,Gate array,Taylor series | Journal |
Volume | Issue | ISSN |
22 | 1 | Future Generation Computer Systems |
Citations | PageRank | References |
1 | 0.39 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mark T. Jones | 1 | 261 | 46.58 |
| Zahi Nakad | 2 | 120 | 15.90 |
| Paul Plassmann | 3 | 22 | 3.43 |
| Yanhua Yi | 4 | 1 | 0.39 |