There are few things more pleasing to your average mathematician than when a result surprises you. Take e, for example – a transcendentally irrational number equal to a little more than 2.7 – and ...

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High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

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When you create an algorithm, you need to include precise, step-by-step instructions. This means you will need to break down the task or problem into smaller steps. We call this process decomposition.

As Transformer models continue to grow in size and complexity, numerous high-fidelity pruning methods have been proposed to mitigate the increasing parameter count. However, transforming these ...

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Abstract: General sparse matrix-matrix multiplication (SpGEMM) is a fundamental computational method with wide-ranging applications in scientific simulations, machine learning, and image processing.

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Initially, the FLAGS methodology and a concise study schedule are presented. Combining automata and formal grammars, FLAGS has revolutionized computational theory. SAA, GSTA, and GAGD comprise the ...

Please see https://coq.inria.fr/download. Information on how to build and install from sources can be found in INSTALL.md. The Recent changes chapter of the reference ...