Satish Salian

Satish Salian is a principal systems software engineer at NVIDIA building end-to-end technologies and solutions for developers harnessing the power of NVIDIA GPUs. His current focus is on Neural Architecture Search (NAS) methodologies, searching for high-performance neural architectures for NVIDIA GPUs. In the recent past, Satish was involved with MLPerf-Training benchmarks, AR/VR research projects, and building the NVIDIA DGX-1 system software stack. His prior projects also include building CUDA developer tools, GFE UI control panel, NVAPIs and creating NVIDIA documentation. He has a bachelor's degree in computer engineering from the University of Pune, India.

Posts by Satish Salian

Technical Walkthrough 1

Beating SOTA Inference Performance on NVIDIA GPUs with GPUNet

Crafted by AI for AI, GPUNet is a class of convolutional neural networks designed to maximize the performance of NVIDIA GPUs using NVIDIA TensorRT. Built using... 6 MIN READ
Technical Walkthrough 0

CUDA Development for Jetson with NVIDIA Nsight Eclipse Edition

[caption id="attachment_7587" align="alignright" width="300"] Figure 1: NVIDIA Jetson TX2 Developer Kit.[/caption] NVIDIA Nsight Eclipse Edition is a... 14 MIN READ
Technical Walkthrough 0

Remote Application Development using NVIDIA Nsight Eclipse Edition

NVIDIA Nsight Eclipse Edition (NSEE) is a full-featured unified CPU+GPU integrated development environment(IDE) that lets you easily develop CUDA applications... 13 MIN READ
Technical Walkthrough 0

NVIDIA Nsight Eclipse Edition for Jetson TK1

NVIDIA Nsight Eclipse Edition is a full-featured, integrated development environment that lets you easily develop CUDA applications for either your local (x86)... 12 MIN READ