Mahesh Doijade

Mahesh Doijade is a compute developer technology engineer at NVIDIA. His work is focused on accelerating machine learning, deep learning workloads on GPU. He also contributes to GROMACS, an open-source molecular dynamics package, mainly focusing on its performance improvements on multi-node multi-GPU systems. In the past, he contributed apps that demonstrated best practices for the CUDA Toolkit.
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Posts by Mahesh Doijade

Simulation / Modeling / Design

A Practical Guide to GPU-Initiated Communication for Molecular Dynamics at Scale

Molecular dynamics (MD) simulations are among the most demanding workloads in computational science. Using them, researchers can observe atomic behavior in... 21 MIN READ
Data Science

Accelerated Vector Search: Approximating with NVIDIA cuVS Inverted Index

Performing an exhaustive exact k-nearest neighbor (kNN) search, also known as brute-force search, is expensive, and it doesn’t scale particularly well to... 15 MIN READ
Robotics

Sharing CUDA Resources Through Interoperability with NvSciBuf and NvSciSync

There is a growing need among embedded and HPC applications to share resources and control execution for pipelined workflows spanning multiple hardware engines... 14 MIN READ