1 citations · 1 across the 3 of their papers we have counts for
3 papers
Zen-Attention: A Compiler Framework for Dynamic Attention Folding on AMD NPUs
Aadesh Deshmukh, Venkata Yaswanth Raparti, Samuel Hsu
Transformer-based deep learning models are increasingly deployed on energy, and DRAM bandwidth constrained devices such as laptops and gaming consoles, which presents significant c…
Automating GPU Scalability for Complex Scientific Models: Phonon Boltzman Transport Equation
Eric Heisler, Siddharth Saurav, Aadesh Deshmukh +3
Heterogeneous computing environments combining CPU and GPU resources provide a great boost to large-scale scientific computing applications. Code generation utilities that partitio…
Generating Finite Element Codes combining Adaptive Octrees with Complex Geometries
Eric Heisler, Cheng-Hau Yang, Aadesh Deshmukh +2
We present a high-level domain-specific language (DSL) interface to drive an adaptive incomplete -d tree-based framework for finite element (FEM) solutions to PDEs. This DSL pro…