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HC33-S6: ML and Computation Platforms Channel : hotchipsvideos |
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HC33-K3: Architectural Challenges: AI Chips, Decision Support, and High Performance Computing Channel : hotchipsvideos |
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HC33-K1: Does Artificial Intelligence Require Artificial Architects? Channel : hotchipsvideos |
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HC33-T1.3: Machine Learning Performance and Challenges, Part 3 Channel : hotchipsvideos |
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HC33-T1.2: Machine Learning Performance and Challenges, Part 2 Channel : hotchipsvideos |
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Software and Hardware Optimization on the IPU: an MLPerf case study Channel : Graphcore |
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Accelerating Software 2.0 (SambaNova) Channel : mlhardware |
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SC21 Invited Talk: Kunle Olukotun, Let the Data Flow! Channel : SC Conference Series |
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Graphcore IPU architecture for Machine Learning and Artificial Intelligence Channel : Vilella Genomics |
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Accelerating Software 2.0 Channel : SambaNova Systems |
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ALCF AI Testbed Training: Modeling: PyTorch to SambaFlow Channel : Argonne Leadership Computing Facility |
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Argonne National Laboratory ANL deploys DataScale for AI for Science Channel : SambaNova Systems |
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HOT CHIPS 2022 - Next Generation At-Memory Inference Acceleration Device with 1,000+ RISC-V Cores Channel : Untether AI |
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DataScale provides capabilities for applying AI to material science, chemistry & biology challenges Channel : SambaNova Systems |
