Showing 2025Show all
3 papers · 1 filter
cs.LG2025
The Anatomy of a Triton Attention Kernel
Burkhard Ringlein, Jan van Lunteren, Radu Stoica +1
A long-standing goal in both industry and academia is to develop an LLM inference platform that is portable across hardware architectures, eliminates the need for low-level hand-tu…
cs.DC2025
Efficient and Reuseable Cloud Configuration Search Using Discovery Spaces
Michael Johnston, Burkhard Ringlein, Christoph Hagleitner +4
Finding the optimal set of cloud resources to deploy a given workload at minimal cost while meeting a defined service level agreement is an active area of research. Combining tens…
cs.AR2025
GPU Performance Portability needs Autotuning
Burkhard Ringlein, Thomas Parnell, Radu Stoica
As LLMs grow in complexity, achieving state-of-the-art performance requires tight co-design across algorithms, software, and hardware. Today's reliance on a single dominant platfor…