MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...
GAL-DAWN is a novel Graph Algorithm Library, with all algorithms developed on the DAWN, utilizing CUDA and C++ for enhanced performance and efficiency. DAWN is a novel shortest path algorithm that ...
CLA is a simple toy library for basic vector/matrix operations in C. This project main goal is to learn the foundations of CUDA, and Python bindings, using ctypes as a wrapper, through simple Linear ...
Abstract: Sparse matrix-vector multiplication (SpMV) is a fundamental operation in machine learning, scientific computing, and graph algorithms. In this paper, we investigate the space, time, and ...
Abstract: The evolution of 5G-advanced (5G-A) systems relies heavily on advanced beamforming technologies to achieve high spectral efficiency and network capacity. Although abundant theoretical ...
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