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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 hour 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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this, these simulations need to be massively parallelized. The objective of this thesis is to implement and evaluate different contingency parallelization approaches using our group's computational infrastructure
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to begin September 1, 2025. We will consider strong candidates in any research area but will prioritize Distributed and Parallel Computing. A PhD in computer science or a related area is required
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and skills in a retail environment that parallels the functions of this position. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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Serve as the Lead for the team ensuring smooth operation of the Linux cluster consisting of 300+ GPU/CPU compute nodes including parallel filesystems and high-performance network. This is partly
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skills in a retail environment that parallels the functions of this position. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background
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optimize large-scale distributed training frameworks (e.g., data parallelism, tensor parallelism, pipeline parallelism). Develop high-performance inference engines, improving latency, throughput, and memory
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interactions among the office team as well as with the broader campus community. Effective with time management skills, including strategies for: prioritizing tasks; coordinating multiple events in parallel; and
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using the programming language Fortran. Experience or willingness to run numerical models on parallelized supercomputers. Experience in the analysis of model output using Python or a similar high-level