INSPIRE

This project is to support heterogeneous tasks using GPU/CPU resource partioning and achieve effective resource utilization and improved computational performance while scientific applications are implemented in the workflow. ESMACS and TIES were integrated.

• Source code: https://github.com/inspiremd

• Experiments:

• collaborator: University College London, University of Chicago
• field: biophysics