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.
Merlin compiler provides push-button C/C++ to a highly-optimized FPGA implementation and works seamlessly with Intel FPGA Development tools.
Kestrel runtime scheduler optimizes deployment Intel FPGA accelerators in data centers.
Falcon’s Accelerated Genome Sequencing Pipeline can be easily customized to use specific pipeline components.