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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Anderson, M.J. Tsen, C. Liang-Kai Wang Compton, K. Schulte, M.J. |
| Copyright Year | 2009 |
| Description | Author affiliation: Advanced Micro Devices, Inc (Liang-Kai Wang) || Department of Electrical and Computer Engineering, University of Wisconsin - Madison (Anderson, M.J.; Tsen, C.; Compton, K.; Schulte, M.J.) |
| Abstract | The IEEE Standards Committee recently approved the IEEE 754–2008 Standard for Floating-point Arithmetic, which includes specifications for decimal floating-point (DFP) arithmetic. A growing number of DFP solutions have emerged, and developers now have many DFP design choices including arbitrary or fixed precision, binary or decimal significand encodings, 64-bit or 128-bit DFP operands, and software or hardware implementations. There is a need for accurate analysis of these solutions on representative DFP benchmarks. In this paper, we expand previous DFP benchmark and performance analysis research. We employ a DFP benchmark suite that currently supports several DFP solutions and is easily extendable. We also present performance analysis that (1) provides execution profiles for various DFP encodings and types, (2) gives the average number cycles for common DFP operations and the total number of each DFP operation in each benchmark, and (3) highlights the tradeoffs between using 64-bit and 128-bit DFP operands for both binary and decimal significand encodings. This analysis can help guide the design of future DFP hardware and software solutions. |
| Starting Page | 465 |
| Ending Page | 471 |
| File Size | 340718 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424450299 |
| ISSN | 10636404 |
| DOI | 10.1109/ICCD.2009.5413114 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Performance analysis Software libraries Hardware Software performance Encoding Application software Floating-point arithmetic Digital arithmetic Software standards Computer errors |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Hardware and Architecture |
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