Falcon Computing Solutions, a leader in acceleration technology and solutions for big-data applications, today announced Tools and Solutions for Amazon Elastic Compute Cloud (Amazon EC2) F1 instances. Falcon’s product offerings come in the form of tools and libraries as well as complete solutions designed to improve performance and power efficiency of applications running on F1 instances.
Falcon Computing, co-founded by Dr. Jason Cong in 2014, provides solutions that look beyond parallelization to enable seamless and scalable acceleration, allowing software engineers to quickly realize the potential of FPGA acceleration on F1 instances without being experts in FPGA implementation or tools. The Merlin compiler provides push-button C/C++ to a highly-optimized FPGA implementation, including host code generation and optimization of accelerator design, data transfer and reuse. Kestrel is a runtime scheduler that can optimize the discovery, deployment, sharing, reprogramming and schedule of FPGA accelerators on F1 instances. Both tools are in use today with Falcon’s customers and are available for deployment with the F1 FPGA Developer AMI.
In addition to tools, Falcon also offers an accelerated Whole Genome Sequencing pipeline on F1 instances, built using Falcon tools and acceleration libraries which unlike other accelerated WGS solutions can be easily customized to use specific pipeline components.
Falcon also offers training, accelerator design and migration, and engineering consulting services to help AWS customers transition to F1 instances.
“Amazon clearly stands out as leaders in driving FPGA acceleration into the public cloud.”, noted Falcon CEO Bradley Howe. “The emerging F1 infrastructure will provide a very powerful, scalable, and cost-efficient platform for a vast number of customer applications and Falcon is well positioned to provide the means for those with limited hardware experience to do so quickly and easily.”