Algorithms, examples and tests for denoising, deblurring, zooming, dequantization and compressive imaging with total variation (TV) and second-order total generalized variation (TGV) regularization.

Abstract: The increase in memory cell density and capacity has resulted in more faulty cells, necessitating the use of redundant memory row and column lines for repairs. However, existing redundancy ...

Dear NVidia Labs, thanks for this nvdiffrast repo. Btw, I have an issue, is there any way/plan to build nvdiffrast with pycuda/numba, without having to use torch/tensorflow? Currently, we've ...

GPUs have become a household name in High Performance Computing (HPC) systems over the last 15 years. However, programming GPUs is still largely a manual and arduous task, which requires expert ...

OpenAI's Triton aims to simplify GPU programming for researchers lacking expertise in CUDA. Triton is positioned as a competitive alternative to NVIDIA's CUDA for deep learning tasks. Several ...

Abstract: Modern graphics processing units (GPUs) have became powerful and cost-effective computing platforms. Parallel programming standards (e.g. CUDA) and directive-based programming standards ...