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comprises research and teaching at bachelor's, master's and doctoral level in computer science, primarily in operating systems, compiler construction, systems programming, and parallel and distributed systems
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Computer Science or a related discipline. Good knowledge of agentic AI/AI workflows, parallel computing, algorithms, and system performance analysis and optimization. Proficiency in programming languages such as C/C
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ability to teach operating systems. Documented ability to teach compiler construction. Knowledge of parallel programming. Experience of software development or cloud services in industry. Documented
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM
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be the head of the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical methods, parallel programming models
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the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical methods, parallel programming models, and hardware platforms
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to handle advanced level support. • Maintain high customer service standards in dealing with and responding to user issues and questions. • Installation, porting and tuning of parallel applications, tools and
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | 28 minutes agoshared memory node parallel programming models (e.g. OpenMP, CUDA/HIP, Kokkos, etc.) o the composition of communication libraries and node parallel programming (e.g. MPI+X). o I/O communication
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optimization, polynomial optimization, stochastic optimization, semidefinite programming, non-smooth optimization, and related fields. · High-Performance Scientific Computing: parallel computing (MPI, OpenMP