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Optimizing In-Memory AI Accelerators Across Multiple Workloads (KAUST, Compumacy)
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Optimizing In-Memory AI Accelerators Across Multiple Workloads (KAUST, Compumacy)
Researchers from KAUST and Compumacy for Artificial Intelligence Solutions have released “Joint Hardware-Workload Co-Optimization for In-Memory Computing Accelerators”. Abstract “Software-hardware co-design is essential for optimizing in-memory computing (IMC) hardware accelerators for neural networks. However, most existing optimization frameworks target a single workload, leading to highly specialized hardware designs that do not generalize we…
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