GrapheneOS has always stood apart from other Android ROMs because it rebuilds the foundation of privacy. While most custom ...

The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient approach to load balancing across GPUs handling LLM inference.

more specifically, interested in combining BlockDiagonalMask, with a tensor bias. I hacked something together by creating an BlockDiagonalMaskWithTensorBias, but got ...

With the increasing growth of artificial intelligence—introduction of large language models (LLMs) and generative AI—there has been a growing demand for more efficient graphics processing units (GPUs) ...

Abstract: Kernel fusion is a crucial optimization technique for GPU applications, particularly deep neural networks, where it involves combining multiple consecutive kernels into a single larger ...

We could leverage convolution codegen to im2col + data-tiling, but there could be performance issue wrt the img2col tensor. E.g., we are not able to vectorize below input, and the performance is bad.

ABSTRACT: One-class classification problem has become a popular problem in many fields, with a wide range of applications in anomaly detection, fault diagnosis, and face recognition. We investigate ...

One-class classification problem has become a popular problem in many fields, with a wide range of applications in anomaly detection, fault diagnosis, and face recognition. We investigate the ...

For years, possibly decades, in the great Therm-a-Rest NeoAir vs Nemo Tensor debate, the NeoAir XLite reigned supreme in the world of ultralight backpacking and thru-hiking. Its yellow-curry hue is so ...