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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
, valgrind, etc.); solid experience with performance measurements, application profiling, and performance analysis. Must have strong knowledge in Parallel Programming and Distributed Computing. Being familiar
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will contribute to areas such as the design and analysis of algorithms (e.g. randomized, quantum, approximation, property testing, online, streaming, sublinear, fine-grained, distributed/parallel) and/or
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/Fortran) Shared and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Machine Learning libraries such as Tensorflow or PyTorch Serial and parallel
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and software applications, including high performance computing architecture, big data storage architecture, operating systems, virtualization platforms, monitoring tools, power distribution and cooling
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applications, including high performance computing architecture, big data storage architecture, operating systems, virtualization platforms, monitoring tools, power distribution and cooling. Maintain a
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, or workshops. Knowledge, Skills and Ability: Ability to program in multiple programming languages like C/C++, FORTRAN, Python, R or similar scientific programming languages. Knowledge of parallel programming
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, or workshops. Knowledge, Skills and Ability: Ability to program in multiple programming languages like C/C++, FORTRAN, Python, R or similar scientific programming languages. Knowledge of parallel programming
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architectures, distributed computing, high performance and parallel computing, ethical and sustainable computing, artificial intelligence. The journal will also explore opportunities in emerging and
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evaluation, or a strong willingness to gain hands-on experience. Eagerness to learn HPC concepts, including parallel computing, distributed systems, and optimization. Analytical skills, problem-solving
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results are aggregated into an overlapping generations (OLG) model for longer-term dynamic forecasting and distributional analysis. Models are frequently updated to reflect the latest economics and