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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 8 days ago
distributed computing setups, and the CUDA framework. Must have demonstrated expertise in marking parallel programs in various frameworks taught in the course, holding office hours, responding to emails, and
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-performance computing Experience in design of computational pipelines for large-scale imaging Experience with programming languages and scripting methods (i.e. Python, MATLAB, C++, CUDA, Bash, and/or SQL) and
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libraries like NCCL/RCCL and experience with high performance computing middleware is highly desirable. Optimizations of large parallel code bases and experience with GPU programming languages such as CUDA
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