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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 days 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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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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experience 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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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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. 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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). Preferred Qualifications: Familiarity with advanced storage solutions and parallel file systems (e.g., Lustre, GPFS, or BeeGFS). Advanced knowledge of Linux operating systems, networked storage environments
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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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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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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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chemistry, ideally with experience in performing reactions in parallel, handling automated kinetic instruments, and associated analytical techniques (HPLC, GC). Knowledge of Design-of-Experiment and automated