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to the continuous improvement of research support services across the faculty. This position offers the opportunity to work on a diverse range of technologies, from Linux systems administration and networking to GPU
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feedback; optimize for real-time performance; distribute computations between GPU and device-proximal processors; ensure precise synchronization with visual and auditory stimuli. Real-Time Collision and
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projects Preferred: Experience with educational technology development and web programming LAMP stack design and implementation experience Knowledge of GPU and FPGA cluster management Experience with federal
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-Wyoming Supercomputing Center (NWSC), GPU computing resources, and dedicated funding to support research growth. In addition, candidates with energy-related expertise may qualify for funding support from
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recently added the new AI NVIDIA GPU SuperPod (https://news.ufl.edu/2020/07/nvidia-partnership/ ) in support of the AI initiative, which aims to expand the role of AI in higher education and research (https
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California State University, San Bernardino | San Bernardino, California | United States | 5 days ago
within the California State University (CSU) system. Designed to advance machine learning and AI research, TIDE features a high-performance computing architecture built on GPUs, powerful processors, and
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hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied