1 citations · 2 across the 5 of their papers we have counts for
3 papers · 1 filter
KernelArc: A Multi-Agent Framework for GPU Kernel Optimization
Joyjit Kundu, Ben Stoffelen, Kaili Wang +2
We present KernelArc, a multi-agent framework for autonomous GPU kernel optimization across heterogeneous workloads. Strategy-specialized agents run in parallel and coordinate thro…
Technology solutions targeting the performance of gen-AI inference in resource constrained platforms
Joyjit Kundu, Joshua Klein, Aakash Patel +1
The rise of generative AI workloads, particularly language model inference, is intensifying on/off-chip memory pressure. Multimodal inputs such as video streams or images and downs…
Characterizing Machine Learning Force Fields as Emerging Molecular Dynamics Workloads on Graphics Processing Units
Udari De Alwis, Benjamin E. Mayer, Tom J. Ashby +3
Molecular dynamics (MD) simulates the time evolution of atomic systems governed by interatomic forces, and the fidelity of these simulations depends critically on the underlying fo…