A hybrid architecture for bioinformatics

Future Generation Computer Systems

Volumn 18, Issue 6, 2002, Pages 855-862

  Schmidt, Bertil ^a   Schröder, Heiko ^a   Schimmler, Manfred ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

Author keywords

Cluster computing; High performance biosequence database searching; Hybrid parallel architecture; Instruction systolic array; Smith Waterman algorithm

Indexed keywords

ALGORITHMS; COMPUTER ARCHITECTURE; COSTS; DATABASE SYSTEMS; PARALLEL PROCESSING SYSTEMS; SUPERCOMPUTERS;

BIOINFORMATICS;

HYBRID COMPUTERS;

EID: 0036574139     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-739X(02)00058-4     Document Type: Conference Paper

References (18)

1. Basic local alignment search tool
2. An SIMD solution to the sequence comparison problem on the MGAP
3. The UCSC Kestrel general purpose parallel processor
4. SAMBA: Hardware accelerator for biological sequence comparison
5. Searching genetic databases on Splash 2
6. Parallel hardware for sequence comparison and alignment
7. The instruction systolic array and its relation to other models of parallel computers
8. The instruction systolic array, a parallel architecture for VLSI
9. The instruction systolic array - Implementation of a low-cost parallel architecture as add-on board for personal computers
10. Parallel processing for scanning genomic databases
11. P-NAC: A systolic array for comparing nucleic acid sequences
12. Comparison of methods for searching protein sequence databases
13. BIOSCAN: A network sharable computational resource for searching biosequence databases
14. The instruction systolic array in image processing applications
15. A parallel accelerator architecture for multimedia video compression
16. Long operand arithmetic on instruction systolic computer architectures and its application to RSA cryptography
17. Design of a parallel accelerator for volume rendering
18. Identification of common molecular subsequences