Abstract
An approach for solving computationally intensive problems based on the FPGA (Field Programmable Gate Array) microchip usage is presented. The approach is examined with the example of searching for common motifs in a genetic sequence of regulatory regions of different genes. Due to the high parallelization and high bandwidth of FPGA chip internal memory, the efficiency is increased by 60 times in comparison with the CUDA-based technique and approximately by 2000 times in comparison with the calculations performed by a personal computer.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
