Although computers are overwhelmingly digital today, there’s a good point to be made that analog computers are the more efficient approach for specific applications. The authors behind a recent paper ...

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Chang, Hong Spring 2025 Dr. William Menasco The filling pairs and the curve complex Hovland, Seth Spring 2025 Dr. William Menasco On the algebraic, geometric, and dynamic properties of plats Bivolcic, ...

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Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Google DeepMind’s AI systems have taken big scientific strides in recent years — from predicting the 3D structures of almost every known protein in the universe to forecasting weather more accurately ...

Since homomorphic encryption enables SIMD operations by packing multiple values into a vector of operations and enabling pairwise addition or multiplication operations, one (old) conventional method ...

3D fp8 matrix multiplication can be useful for fp8 model with 3D matmul (it also can be used to improve accuracy of models with 2D fp8 quantized matrix multiplication). _scaled_mm is designed for fp8 ...

A new technical paper titled “Scalable MatMul-free Language Modeling” was published by UC Santa Cruz, Soochow University, UC Davis, and LuxiTech. “Matrix multiplication (MatMul) typically dominates ...

Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...