Matrix multiplication is expensive O(n^3) operations! But what if we could verify the result without doing the full computation? I implemented Freivalds' algorithm in C to probabilistically verify ...
Two industry leaders have joined forces to address the rapidly growing demand for artificial intelligence infrastructure across Europe's expanding digital ...
Abstract: We present a Mathematics of Arrays (MoA) and ψ-calculus derivation of the memory-optimal operational normal form for ELLPACK sparse matrix-vector multiplication (SpMV) on GPUs. Under the ...
CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...
Abstract: Digital Signal Processors (DSPs) rely on VLIW and SIMD architectures to provide significant advantages in real-time, low-power computation. The efficient implementation of matrix LU ...
WAIKOLOA, Hawaii — In a panel discussion at Orthopedics Today Hawaii, Aaron J. Krych, MD, reviewed three papers on meniscus tears published in 2025 that have impacted his practice.
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