Institution:
Design and development of new pairwise alignment algorithms and hardware accelerators that reduce the execution time and memory consumption
Sequence alignment scalable methods and accelerators
Design and development of new pairwise alignment algorithms and hardware accelerators that reduce the execution time and memory consumption
Research Group:
High Performance Computing Applications for Science and Engineering (HPCA4SE)
Researcher/s:
Juan Carlos Moure, Santiago Marco, Antonio Espinosa
Description:
Problem:
Recent advances in genomics and sequencing technologies demand faster and scalable algorithms that can cope with the ever-increasing sequence lengths. Classical pairwise alignment algorithms based on dynamic programming are strongly limited by quadratic requirements in time and memory. As long sequencing technologies improve and high-quality sequence assembly decreases in cost, we anticipate that the importance of pairwise alignment algorithms will continue to increase.
Solution:
high performance scalable alignment algorithms and hardware accelerators
Aplication areas:
Life science, hardware accelerators, RISC-V
Target market:
Life science applications
Keywords:
biology, life science, sequence alignment, hardware accelerators
TRL: N/A
CRL: N/A
BRL: N/A
IPRL: N/A
TmRL: N/A
FRL: N/A
More information
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