Innovation at Falcon
Founded in 2014 by Dr. Jason Cong, Director of the Center for Domain Specific Computing (CDSC) at UCLA, Falcon Computing is an application acceleration company with strong academic roots.
As part of our mission to simplify acceleration on heterogenous hardware platforms, we partner with academic institutions working on cutting-edge computation techniques to solve world-class problems. The flexibility of FPGAs makes them a great tool for research and experimentation which can be simplified with the use of our software products as offered under our special Academic Program pricing.
UCLA Technology Center for Genomics
& Bioinformatics (TCGB)
Fully automated, high-throughput genomic facility equipped with all major sequencing and microarray platforms.
- Provides services nationwide across the US.
Genomics Partnership with
Successful evaluation of Falcon Genomics Appliance deployed at the High Performance Computing Platform of the Center for Life Science at Peking University
- Results validated to be the same with GATK 3.5 using precisionFDA.org dataset and Genotype-Tissue Expression (GTEx) dataset.
- 50x speedup compared to their existing HPC approach
Academic Conferences & Publications
In collaboration with UCLA, Georgia Tech, and Rice University, Falcon presented S2FA (Spark-to-FPGA-Accelerator) at DAC ‘18. S2FA, an automation framework that leverages the Falcon Merlin Compiler, was able to achieve close to 50X performance improvement for several Machine Learning applications.
TGPA: Tile-Grained Pipeline Architecture for Low Latency CNN Inference||International Conference on Computer Aided Design||November 5, 2018||Download|
S2FA: An Accelerator Automation Framework for Heterogeneous Computing in Datacenters||Design Automation Conference (DAC)||June 24, 2018||Download|
Automated Accelerator Generation and Optimization with Composable, Parallel and Pipeline Architecture||Design Automation Conference (DAC)||June 24, 2018||Download|
Automated Systolic Array Architecture Synthesis for High Throughput CNN Inference on FPGAs||Design Automation Conference (DAC)||June 18, 2017||Download|
Programming and Runtime Support to Blaze FPGA Accelerator Deployment at Datacenter Scale||ACM Symposium on Cloud Computing||October 5, 2016||Download|
Software Infrastructure for Enabling FPGA-Based Accelerations in Data Centers||International Symposium on Low Power Electronics and Design||August 8, 2016||Download|
Energy-Efficient CNN Implementation on a Deeply Pipelined FPGA Cluster||International Symposium on Low Power Electronics and Design||August 8, 2016||Download|
Heterogeneous Datacenters: Options and Opportunities||Design Automation Conference (DAC)||June 5, 2016||Download|
A Novel High-Throughput Acceleration Engine for Read Alignment||International Symposium on Field-Programmable Custom Computing Machines||July 16, 2015||Download|
Upcoming Academic Events
Falcon Computing employees attend industry and academic events as an opportunity to both learn and share their knowledge about acceleration for Cognitive Era applications. To see where you can connect with Falcon Computing next, visit our events page.
Are you part of an academic institution that could benefit from our acceleration platform? Get in touch.