Sort by
Refine Your Search
-
background in Computational Fluid Dynamics, should be familiar with High Performing Computing, including coding in CUDA, and should have knowledge of C++, Julia and Python; d) Ability to work both
-
IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 20 days ago
of application development in C/C++, knowledge of the Fortran language is an advantage, · knowledge of parallel application development using either · MPI and OpenMP, or · CUDA, the advantage is OpenCL, OpenACC
-
computing paradigms (e.g., MPI, CUDA, etc.); designing and managing new electromagnetic solvers and associated codebases in C++ and/or Python. This is a particularly good opportunity for students who
-
-aware code acceleration paradigms (OpenCL, CUDA, SYCL, etc.) Track record of open-source code contributions Strong motivation, with evidence of independent research skills relevant to the project Personal