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Abstract: Neural Networks face challenges with traditional floating-point computing architectures due to complexity, power, and latency. This work presents a general-purpose multiple precision ...
Abstract: We present Hash-NAMM, a brand-new memory management in Multiple-GPU that fully takes advantage of Hashed Function for solving NUMA Effect. Multiple-GPU systems are becoming more common in ...
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