Name
Abstract | ||
|---|---|---|
Processor speed and available computing power constantly increases, enabling computation of more and more complex problems such as numerical simulations of physical processes. In this domain, however, the problem of accuracy arises due to rounding of intermediate results. One solution is to avoid intermediate rounding by using exact arithmetic. The use of FPGAs as application-specific accelerators can speed up such operations compared to their software implementation. In this paper, we present a system approach employing state-of-the art FPGA and interconnection technology for exact arithmetic with double-precision operands, delivering up to 400M exact MACs/s in total and providing a speedup of up to 88 times over competing software implementations in the case of matrix multiplication. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-11950-7_20 | ARCS |
Keywords | Field | DocType |
exact arithmetics,exact arithmetic,software implementation,accelerator infrastructure,double-precision operands,application-specific accelerator,intermediate rounding,available computing power,processor speed,intermediate result,exact macs,complex problem,matrix multiplication,numerical simulation | Computer science,Operand,Parallel computing,Field-programmable gate array,Arithmetic,Real-time computing,Rounding,Interconnection,Matrix multiplication,Clock rate,Speedup,Computation | Conference |
Volume | ISSN | ISBN |
5974 | 0302-9743 | 3-642-11949-2 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabian Nowak | 1 | 39 | 6.52 |
| Rainer Buchty | 2 | 143 | 18.44 |