NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures.

From this theorem, we derive an identity connecting the spin-conserving and spin-flip kernels. Based on this identity, a method to construct the spin-flip kernel solely from the spin-conserving kernel ...

Additionally, improvements in suspend/resume functionality enhance power management for various devices. Conclusion Linux Kernel 6.14 marks a significant step forward in supporting the latest Intel ...

TaoChenOSU changed the title Python: Bug: OpenAPI plugin function name parsing results in invalid kernel function name Bug: OpenAPI plugin function name parsing results in invalid kernel function name ...

ABSTRACT: The Negative Binomial Multiple Change Point Algorithm is a hybrid change detection and estimation approach that works well for overdispersed and equidispersed count data. This simulation ...

While using the Semantic Kernel Python version 1.5.0, we are receiving an intermittent error like below ERROR:semantic_kernel.kernel:Something went wrong in function ...

In a recent article in Light | Science & Applications, researchers introduced a novel one-dimensional photonic crystal (1D PC) to enhance spin-to-orbital angular momentum conversion for single ...

Multi-kernel clustering aims to learn a fused kernel from a set of base kernels. However, conventional multi-kernel clustering methods typically suffer from inherent limitations in exploiting the ...

Our experimental findings revealed that for tall and narrow matrix multiplications, employing a 1D tiling strategy outperforms the commonly used 2D tiling strategy. By comparing tensor kernel fusions ...