The results include a comparison between two different basis functions for temporal selectivity and how these generate different predictions for the dynamics of neural populations. The conclusions are ...

Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...

When a videogame wants to show a scene, it sends the GPU a list of objects described using triangles (most 3D models are broken down into triangles). The GPU then runs a sequence called a rendering ...

Abstract: Multi-dimensional arrays, or tensors, are increasingly found in fields such as signal processing and recommender systems. Real-world tensors can be enormous in size and often very sparse.

Hi, thanks for your great work on Transformer Engine! I am working on a project that requires high-performance batched matrix multiplication (i.e., 3D tensor multiplication) where all inputs are ...

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 ...

XTC (Exponential Tensor Computing) is a cutting-edge AI framework designed to process complex data at unprecedented speeds. By leveraging advanced tensor operations and optimized algorithms, XTC ...

Parallel computing continues to advance, addressing the demands of high-performance tasks such as deep learning, scientific simulations, and data-intensive computations. A fundamental operation within ...

ABSTRACT: In this paper, the solution of the matrix second semi-tensor product equation A ∘ l X ∘ l B=C is studied. Firstly, the solvability of the matrix-vector second semi-tensor product equation is ...

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