Enhance Your Research Alliance (EYRA) Benchmark Platform
Supporting researchers to easily set-up benchmarks
GPUs have an increasingly big impact on industry and academia, due to their great computational capabilities. However, in practice, one usually needs to have expert knowledge on GPU architectures to optimally gain advantage of those capabilities. At the Eindhoven University of Technology, Wijs will work on modelling GPU applications using a Domain Specific Language, formally verifying the correctness of the models, and automatically generating GPU code. At the University of Twente, Huisman will work on the structured optimisation of GPU code, while ensuring that functional correctness is preserved. Existing formal verification techniques, model checking and code verification, will be combined to create, for the first time, a complete end-to-end development workflow for GPU applications.
To ensure the practical effectiveness of the resulting workflow, a users committee, consisting of SURFsara, the Netherlands eScience Center, Stream HPC, and CodePlay (UK), will provide real-life cases and provide feedback throughout the project.
Supporting researchers to easily set-up benchmarks
Making breakthroughs in data-driven research
Smart, secure container networks for trusted big data sharing
Boosting the performance of current and future programs