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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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. Demonstrated experience developing and running computational tools for high-performance computing environment, including distributed parallelism for GPUs. Demonstrated experience in common scientific programming
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the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep learning. Many companies, such as Google, Facebook, and Amazon
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Research Scientific Computing Center (NERSC) is inviting applications for the position of Storage Systems Group (SSG) Lead. NERSC's mission is to accelerate scientific discovery through high performance
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years of relevant experience in Linux system administration within a large distributed computing environment, including experience providing systems and end-user support for multiple scientific
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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environments in the world. This evergreen posting represents multiple potential openings for senior-level roles across ORNL’s high-performance computing ecosystem. Senior HPC Linux Systems Engineers
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 22 days ago
, embeddings with transformers, training with flow matching) and high performance computing (e.g. handling large-scale parallel simulators, multi-node and GPU training on large supercomputers). When considering
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engagement and integration. UTRGV is a distributed campus, one university spanning four counties and multiple locations. Our purpose is to be a university for the entire Rio Grande Valley and beyond. Over 91
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or