For some problems there are dedicated hardware solutions such as Graphics Processing Units (GPU) and Field Programmable Gate Arrays (FPGA). Writing the code that makes most of the hardware is an art. At the eScience Center we optimize code for various goals (e.g. speed or low power use), and we make tools that can help you tune your CUDA or OpenCL code semi-automatically.

Dr. Ben van Werkhoven
Senior eScience Research Engineer

Dr. Ben van Werkhoven

Ben van Werkhoven holds a PhD in High-Performance Distributed Computing, specifically GPU...

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