Accelerator Library

Accelerating machine learning algorithms using FPGAs and GPUs.

 

BUILT FOR EASE-OF-USE
  • Integrated with Kestrel Runtime
  • Parameterizable
OPTIMIZED FOR PERFORMANCE
  • Highly optimized for supported accelerator cards
DESIGNED FOR PORTABILITY
  • Support for FPGAs and GPUs
  • Retargetable
BUILT-IN INTEGRATION WITH SPARK
  • Integration with Spark for MLlib and Caffe for CNN for transparent acceleration