Selecting the best possible General Matrix Multiplication (GEMM) kernel for a specific problem and hardware is a significant challenge. The performance of a…
Selecting the best possible General Matrix Multiplication (GEMM) kernel for a specific problem and hardware is a significant challenge. The performance of a GEMM kernel is determined by an array of compile-time and runtime meta-parameters: CTA, warp and instruction level tile sizes, kernel schedules, rasterization strategies, cluster dimensions, split-k factors, and so on.

The world of embedded and edge computing is about to get faster, more efficient, and more versatile with the upcoming CUDA 13.0 release for Jetson Thor SoC…
The rapid rise of agentic AI has reshaped how enterprises, developers, and entire industries think about automation and digital productivity. From software…
Major open-source foundational model releases are an exciting time for the AI community, bringing unique architectural innovations and capabilities. As the…
Telesurgery is no longer a futuristic idea—it’s quickly becoming essential to how care is delivered. With a global shortage of surgeons projected to reach…