Hardware Acceleration of Optically Labeled Human Genome Sequencing using a Novel Algorithm
| dc.contributor.author | Mulani, K.S. | |
| dc.contributor.author | Kumar, H. | |
| dc.contributor.author | Gaurav, M.K. | |
| dc.contributor.author | Sumam David, S. | |
| dc.date.accessioned | 2026-02-06T06:37:57Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | Recently, reconstruction of the entire DNA sequence from optically labeled genomes has been explored. In this paper, we present details of a novel algorithm for this genome assembly. We elucidate the design methodology and results for a multi-core CPU (1.98x speedup) and FPGA (7.022x speedup) implementation to accelerate the computations. © 2018 IEEE. | |
| dc.identifier.citation | 2018 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2018, 2018, Vol., , p. - | |
| dc.identifier.uri | https://doi.org/10.1109/CONECCT.2018.8482395 | |
| dc.identifier.uri | https://idr.nitk.ac.in/handle/123456789/31318 | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.subject | Acceleration | |
| dc.subject | FPGA | |
| dc.subject | Genome assembly | |
| dc.subject | Multi-core CPU | |
| dc.subject | Parallel algorithm | |
| dc.title | Hardware Acceleration of Optically Labeled Human Genome Sequencing using a Novel Algorithm |
