3 papers
cs.DC2026
ZEUS: An Efficient GPU Optimization Method Integrating PSO, BFGS, and Automatic Differentiation
Dominik Soos, Marc Paterno, Desh Ranjan +1
We introduce a novel, efficient computational method, ZEUS, for numerical optimization, and provide an open-source implementation. It has four key ingredients: (1) particle swarm o…
cs.DC2024
An AD based library for Efficient Hessian and Hessian-Vector Product Computation on GPU
Desh Ranjan, Mohammad Zubair
The Hessian-vector product computation appears in many scientific applications such as in optimization and finite element modeling. Often there is a need for computing Hessian-vect…
cs.LG2023
Performance Optimization of Deep Learning Sparse Matrix Kernels on Intel Max Series GPU
Mohammad Zubair, Christoph Bauinger
In this paper, we focus on three sparse matrix operations that are relevant for machine learning applications, namely, the sparse-dense matrix multiplication (SPMM), the sampled de…