Precision medicine and FPGA technology: Challenges and opportunities

Brian Hill, Jaclyn Smith, Gans Srinivasa, Kemal Sonmez, Ashish Sirasao, Amit Gupta, Madhubanti Mukherjee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations


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.

Original languageEnglish (US)
Title of host publication2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781509063895
StatePublished - Sep 27 2017
Event60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017 - Boston, United States
Duration: Aug 6 2017Aug 9 2017

Publication series

NameMidwest Symposium on Circuits and Systems
ISSN (Print)1548-3746


Other60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017
Country/TerritoryUnited States


  • FPGAs
  • Genomics
  • Precision Medicine

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering


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