GPU-Acceleration for the Graal VM
This project aims at automatically accelerating applications running on top of the Graal VM, an Open source Java VM. To achieve this goal we first define a high-level API inspired by functional programming and data-flow programming concepts. At runtime, our system recognises the calls to our API and automatically generate OpenCL kernels. The runtime then manages the execution of this OpenCL kernel on multiple devices (e.g. GPU) which results in the application being transparently accelerated.
Supported by
Christophe Dubach
Associate Professor
Canada CIFAR AI Chair, Mila
My research interests include data-prallel language design and implementation, high-level code generation and optimisation for parallel hardware (e.g. GPU, FPGAs), architecture design space exploration, and the use of machine-learning techniques applied to all these topics.
Michel Steuwer
Postdoc 2015-2017 (Edinburgh University) Now Lecturer at Glasgow University
