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Looking beyond parallelization and focusing on customization and specialization for energy-efficient computing, Falcon Computing provides automated compilation tools, a runtime management tool, and acceleration libraries to enable scalable and seamless integration of heterogeneous accelerating technologies into existing data center infrastructures, with focus on FPGA-based acceleration. Falcon Computing brings orders-of-magnitude performance/power efficiency improvement for key big-data applications, including machine learning and computational genomics/precision medicine. Founded in 2014, Falcon Computing leverages the multi-year research outcomes and experience from the Center for Domain Specific Computing (CDSC), funded by a $10M award under the Expeditions in Computing program from the National Science Foundation in 2009. The CDSC Director, Prof. Jason Cong from UCLA (http://vast.cs.ucla.edu/people/faculty/jason-cong) is a key co-founder of this company.
Falcon Computing Solutions provides scalable acceleration solutions to big-data applications. Its products include compile and runtime tools and libraries that span multiple vertical markets including Genomics Sequencing, Machine Learning, Autonomous Driving, and Computer and Medical Imaging.
Provider of scalable acceleration solutions to big-data applications.
The company is planning to use the fund to continue building its team to productize its technology and build solutions across multiple vertical markets.
SERIES B · $8 M · May 2017
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