MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware ...
A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime ...
Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...
Abstract: Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively parallel computations using irregular data structures by ...
Abstract: High-dimensional and incomplete (HDI) matrices are commonly encountered in various big data-related applications for illustrating the complex interactions among numerous entities, like the ...
This repository contains the experimental code and raw results used in the study: "Time, Space and Energy Complexity Analysis of Sorting and Matrix Multiplication Algorithms" The project evaluates ...
This repository accompanies the research paper "Implications of Language Choice for Algorithmic Efficiency in Low-Power Computing." The study investigates how the choice of programming ...
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