TY - GEN
T1 - Precision medicine and FPGA technology
T2 - 60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017
AU - Hill, Brian
AU - Smith, Jaclyn
AU - Srinivasa, Gans
AU - Sonmez, Kemal
AU - Sirasao, Ashish
AU - Gupta, Amit
AU - Mukherjee, Madhubanti
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/27
Y1 - 2017/9/27
N2 - As genomic medicine becomes part of standard clinical care, Precision Medicine faces a daunting computational challenge in scaling up to support the genomic, image processing and analytics workloads required for millions of patients, especially in oncology clinics. Computational solutions based on heterogeneous hardware platforms like FPGAs have the potential to enable rollout of personalized care for large numbers of patients. We review several clinical use cases to shed light on how FPGA-based solutions can lead to large performance gains and tackle the computational bottlenecks in precision medicine. The biggest barrier to FPGA adoption is their accessibility and the steep learning curve for many bioinformatics and precision medicine codebase development groups. We describe new standard libraries and development environments that will facilitate FPGA-based development and show how they enable performance improvements with modest effort investment.
AB - As genomic medicine becomes part of standard clinical care, Precision Medicine faces a daunting computational challenge in scaling up to support the genomic, image processing and analytics workloads required for millions of patients, especially in oncology clinics. Computational solutions based on heterogeneous hardware platforms like FPGAs have the potential to enable rollout of personalized care for large numbers of patients. We review several clinical use cases to shed light on how FPGA-based solutions can lead to large performance gains and tackle the computational bottlenecks in precision medicine. The biggest barrier to FPGA adoption is their accessibility and the steep learning curve for many bioinformatics and precision medicine codebase development groups. We describe new standard libraries and development environments that will facilitate FPGA-based development and show how they enable performance improvements with modest effort investment.
KW - FPGAs
KW - Genomics
KW - Precision Medicine
UR - http://www.scopus.com/inward/record.url?scp=85034053552&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85034053552&partnerID=8YFLogxK
U2 - 10.1109/MWSCAS.2017.8053008
DO - 10.1109/MWSCAS.2017.8053008
M3 - Conference contribution
AN - SCOPUS:85034053552
T3 - Midwest Symposium on Circuits and Systems
SP - 655
EP - 658
BT - 2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 August 2017 through 9 August 2017
ER -