“Mathematics is the art of reducing any problem to linear algebra.” This is a quote often attributed to William Stein, a former mathematics professor at the University of Washington, now the lead ...
The energy projection spectra of the symmetric γ-γ coincidence matrix of LaBr 3 (Ce) detectors obtained using 152 Eu standardized source. Compared to the spectrum without CsI(Tl) anti-Compton shields ...
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: With the rising demand for the performance of sparse matrix-vector multiplication (SpMV) in various fields, traditional optimization approaches for SpMV computation, which are designed ...
This project implements an 8x8 systolic array for high-performance matrix multiplication, leveraging a parallel processing architecture optimized for efficiency and scalability. The workflow spans RTL ...
MATLAB implementation of the ILP-based minimal camera network optimization framework proposed in "Autonomous BIM-Aware UAV Path Planning for Construction Inspection". Includes visibility simulation, ...
Summary: I appreciate the refreshed design of this 2025 Asus ROG Strix Scar 18, although ergonomics still leave some to be desired. The gains in performance are within 15-25% on the CPU side and 10-20 ...
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