The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient approach to load balancing across GPUs handling LLM inference.
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RRAM-based analog computing system rapidly solves matrix equations with high precision
Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...
Laurence Fishburne has addressed whether he might step back into the role of Morpheus for The Matrix 5. Appearing at New York Comic Con 2025 for The Matrix reunion panel, the actor said that he is ...
A data center, which can use as much electricity as Philadelphia, is the new American factory, creating the future and ...
Abstract: Matrix multiplication computation (MMC) is a fundamental operation with various applications, including linear regression, k-nearest neighbor classification and biometric identification.
Abstract: Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...
A high-performance 3D finite element method (FEM) solver for computing electromagnetic resonant modes in cavity resonators using second-order Nédélec elements. This solver computes the ...
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