Name
Abstract | ||
|---|---|---|
Heterogeneous systems consisting of general-purpose processors and different types of hardware accelerators are becoming more and more common in HPC systems. Especially Field Programmable Gate Arrays (FPGAs) provide an energy-efficient way to achieve high performance. Numerous application areas, including bio- and neuroinformatics, require enormous processing capabilities and employ simple computation cores. These elementary data structures are highly suitable for FPGAs. To allow an efficient use of distributed FPGAs, we introduce a simple and scalable integration of the FPGAs in a common cluster architecture to permit an easy access to these resources. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/FPL.2013.6645612 | Field Programmable Logic and Applications |
Keywords | Field | DocType |
data structures,field programmable gate arrays,pattern clustering,HPC systems,bioinformatics,common cluster architecture,common cluster environment,elementary data structures,field programmable gate arrays,general-purpose processors,hardware accelerators,heterogeneous systems,multiFPGA system,neuroinformatics | Data structure,Neuroinformatics,Architecture,Computer architecture,Computer science,Programmable logic array,Parallel computing,Field-programmable gate array,Reconfigurable computing,Scalability,Computation,Embedded system | Conference |
ISSN | Citations | PageRank |
1946-1488 | 1 | 0.36 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oliver Knodel | 1 | 12 | 2.69 |
| Rainer G. Spallek | 2 | 137 | 25.30 |