Abstract: General sparse matrix-matrix multiplication (SpGEMM) is a fundamental computational method with wide-ranging applications in scientific simulations, machine learning, and image processing.
As artificial intelligence (AI) continues to revolutionize the economy, courts are increasingly being asked to determine whether AI models and algorithms can be protected as trade secrets. Yet case ...
Abstract: In this paper, we propose three modular multiplication algorithms that use only the IEEE 754 binary floating-point operations. Several previous studies have used floating-point operations to ...
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