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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 18 hours ago
- Parallel Programming (emergency posting) Course description: Introduction to aspects of parallel programming. Topics include computer instruction execution, instruction-level parallelism, memory system
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About the Administrative Assistant Position: At the CEE, we create, organize, and facilitate a variety of different opportunities for faculty to develop their teaching methods and practices
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of important problems). Desired: Extensive experience in parallel programming with MPI, OpenMP, C/C++, Python; experience working with data management and I/O libraries; experience as PI or co-PI on research
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programme, requiring the role holder to work dynamically to respond to the evolving schedule of these varied aspects. The success of these activities will require the role holder to manage different complex
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such data; hands-on experience in scaling up and/or parallelizing codes on HPC systems using languages such as e.g., C/C++, Fortran, Python; solid knowledge of parallel programming models (e.g., MPI, OpenMP
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programme, requiring the role holder to work dynamically to respond to the evolving schedule of these varied aspects. The success of these activities will require the role holder to manage different complex
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data resources for different research applications Knowledge of computer programming languages Experience of working in a high-performance computing environment (e.g. Slurm) and/or with public/private
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School: Faculty of Arts and Sciences Department/Area: Kempner Institute for the Study of Natural and Artificial Intelligence Position Description: The Engineering Fellowship Program at Kempner Institute
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of, the different laboratories working both collaboratively and creatively with staff and administrative leadership to address complex technical, facility, and HR related issues to improve processes and integrate
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driven science/tools. Teaching or training experience. Experience using large-scale HPC clusters. Experience supporting research computing environments. Familiarity with parallel programming models such as