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: The large amount of floating-point data generated by scientific applications makes data compression essential for I/O performance and efficient storage. However, floating-point data is ...
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