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(fastest execution) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 5 hours ago
critical to global and national challenges. These priorities closely parallel Dalhousie’s own research priorities and strengths and are reflected in the university’s Strategic Research Clusters
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of the computing infrastructure that powers both data and computer intensive research. From high-performance computing clusters and parallel storage to data management and automation tools, you’ll help shape and
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develop and compare ex vivo model systems derived directly from patient tumor tissue and blood. These models will be evaluated in parallel with an upcoming clinical trial at our department testing
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be controlled, measured, and related to the thermal and mechanical properties of the foams. Several formulations and systems will be studied in parallel to shed light on these three issues
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with an in depth characterization of the underlying mechanism(s) and genetic consequences. In parallel, we also aim to identify key genetic regulators of the meiotic reductional division in banana as a basis
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requires a solutions-oriented approach, a keen technical and scientific mindset, and excellent communication skills. The ability to independently prioritize and address evolving challenges in parallel in a
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? parallel computing, resource allocation, multiple threads, etc. Proficiency in configuring jobs for a parallel environment, specifically allocating adequate memory and nodes to meet specific time/budget. In
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others. Ability to coordinate with faculty, graduate and undergraduate students, and external collaborators. Preferred Qualifications: Strong background in parallel computing, parallel application design
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), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of