Most performance optimization focuses on making each operation faster. HKD Kernel approaches a...
Most performance optimization focuses on making each operation faster.
HKD Kernel approaches a different question:
What if most of those operations did not need to execute at all?
I’ve been working on HKD Kernel, a native C library for exact sparse and incremental computation.
The target workload looks like this:
I’ve been working on a performance project called HKD Kernel. The premise is that a lot of large...
At Together AI, we have been investing in the ThunderKittens framework - a software library that we developed in collaboration…
Oftentimes, when we’re using a microcontroller, we’re whipping up some very specific code focused on executing a particular task.…
Learn how we built an agentic system that automates the generation and rigorous validation of specialized GPU kernels to achieve…
Classic Machine Learning Through the Eyes of an SRE — Part 4 When a computation is too hard, don't...
ParallelKernelBench tests whether LLMs can write fast multi-GPU CUDA kernels across 87 real workloads. The best model solves…
