A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
A Hardware/Software Co-Design of K-mer Counting Using a CAPI-Enabled FPGA
2020 30th International Conference on Field-Programmable Logic and Applications (FPL)
Advances in Next Generation Sequencing (NGS) technologies have caused the proliferation of genomic applications to detect DNA mutations and guide personalized medicine. These applications have an enormous computational cost due to the large amount of genomic data they process. Although leveraging FPGAs can improve the processing time of such amount of data, the limited memory capacity of FPGAs often restricts the potential gains. To overcome this limitation, IBM CAPI (Coherent Acceleratordoi:10.1109/fpl50879.2020.00020 dblp:conf/fpl/HaghiAPDHM20 fatcat:zsijxlk6lbgk7f4zznhmsfz7eq