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 ...

Abstract: The tensor cores in modern GPUs lead to significant performance improvement in matrix multiplication, which is the primary operation in deep learning. However, existing hardware ...

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: Compact digital circuitry supporting data processing is a key requirement of modern engineering. This pa-per addresses the design of digital architectures for a crucial operation in ...

In this tutorial, we walk through advanced usage of Einops to express complex tensor transformations in a clear, readable, and mathematically precise way. We demonstrate how rearrange, reduce, repeat, ...