Expanding on a foundation of more than a decade of research, Falcon Computing Solutions was founded in 2014 by Dr. Jason Cong, the Volgenau Chair for Engineering Excellence at the Computer Science Department of UCLA, the Director of the Center for Domain Specific Computing, a Fellow of ACM and IEEE, and a member of the National Academy of Engineering. The company was founded with the goal of providing high-level synthesis (HLS) compiler optimization technology for hardware acceleration of software applications. Through the combination of a strong foundation of academic research, an experienced management team, and a history of past entrepreneurial successes from its founder, Falcon developed products that simplify the adoption of hardware acceleration. Falcon Computing empowers software developers & data scientists working in Genomics, Machine Learning, Computational Finance and Computer Vision to accelerate their cognitive era applications by leveraging CPUs, GPUs & FPGAs on public and private clouds. The Falcon approach to acceleration translates into application performance gains of up to 35x, user productivity increase of up to 10x and overall more energy efficient computing. Due to its rich roots in academia and research, Falcon computing ledthe new wave of FPGA adoption. Three years after its inception, four of the largest cloud infrastructure providers launched FPGA instances to help support the growth in demand of specialized hardware for cognitive era applications. The efficiency and adaptability of an FPGA has made it a valuable asset as cognitive era applications require frequent updates and demand more compute power than ever before.

Xilinx acquired Falcon Computing Solutions in 2020. The acquisition was aimed at advancing software programmability and expanding the developer community. The acquisition will make adaptive computing more accessible to software developers by enhancing the Xilinx Vitis Unified Software Platform with automated HLS technology.

Falcon Computing