Name
Abstract | ||
|---|---|---|
Currently available genome databases are growing exponentially in size, making it difficult for software analysis tools to keep up. A number of hardware accelerators utilizing special purpose VLSI (Blas, et al., 2005) or reconfigurable hardware (Hoang, 1993) have been proposed. However, they are inflexible; support for new applications usually requires a laborious redesign. None of these accelerators can be easily adapted to other applications that require differing hardware resources. The design philosophy of the softcore vector processor is based on two important goals: adaptability and performance. Instruction based execution allows programmable support for a large number of algorithms. The fact that different classes of applications require different subsets of hardware resources, argues for a customizable hardware design built from primitives. The second goal was to achieve programmability without sacrificing performance. The SVP was designed to perform competitively with full custom solutions available in the market |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/FCCM.2006.62 | Napa, CA |
Keywords | Field | DocType |
softcore vector processor,reconfigurable hardware,hardware resource,customizable hardware design,scalable softcore vector processor,large number,biosequence applications,different class,different subsets,programmable support,available genome databases,design philosophy,computational biology,parallel processing,hardware,registers,sequence alignment,process control,broadcasting,computer architecture,vector processor,algorithm design and analysis,programmable logic devices,application software,logic design,genetic engineering,chip,functional unit | Logic synthesis,Computer architecture,Software analysis pattern,Computer science,Parallel computing,Full custom,Vector processor,Very-large-scale integration,Reconfigurable computing,Programmable logic device,Embedded system,Scalability | Conference |
ISBN | Citations | PageRank |
0-7695-2661-6 | 2 | 0.44 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arpith C. Jacob | 1 | 189 | 18.37 |
| Brandon Harris | 2 | 88 | 5.73 |
| Jeremy Buhler | 3 | 821 | 93.45 |
| Roger D. Chamberlain | 4 | 15 | 1.89 |
| Young H. Cho | 5 | 302 | 29.05 |