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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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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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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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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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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
Employment Type: Permanent Staff (EHRA NF) Vacancy ID: NF0009437 Salary Range: Compensation for this position will follow the North Carolina Department of Public Instruction salary schedule found here: https
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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
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techniques); giving mathematical proofs of their correctness and efficiency; building state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming
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exploitation of physical parallelism, from the realization of stronger all-optical nonlinearities and scalable synaptic devices to the design of efficient photonic memory architectures to support neuromorphic
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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