Kushal Datta

Kushal Datta is the product lead for Magnum IO and focuses on expediting AI, data analytics and HPC applications on multi-GPU systems. His interests include creating new tools and methods to improve overall wall clock time of complex AI and scientific applications on large scale systems. He has published over twenty academic papers, several whitepapers, and blog posts. He holds five granted U.S. patents. He received his Ph.D. in ECE from the University of North Carolina at Charlotte and Bachelor's in Computer Science from Jadavpur University, India.

Posts by Kushal Datta

Technical Walkthrough 0

Accelerating IO in the Modern Data Center: Magnum IO Storage

The fourth post in the Accelerating IO series addresses storage issues and covers the new GPUDirect Storage release, benefits, and implementation. 9 MIN READ
Technical Walkthrough 0

Optimizing Data Movement in GPU Applications with the NVIDIA Magnum IO Developer Environment

Magnum IO is the collection of IO technologies from NVIDIA and Mellanox that make up the IO subsystem of the modern data center and enable applications at scale. 8 MIN READ
Technical Walkthrough 0

Accelerating IO in the Modern Data Center: Computing and IO Management

This is the third post in the Accelerating IO series, which has the goal of describing the architecture, components, and benefits of Magnum IO… 14 MIN READ
Technical Walkthrough 0

Accelerating IO in the Modern Data Center: Network IO

This is the second post in the Accelerating IO series, which describes the architecture, components, and benefits of Magnum IO, the IO subsystem of the modern… 19 MIN READ
Technical Walkthrough 0

Accelerating IO in the Modern Data Center: Magnum IO Architecture

This is the first post in the Accelerating IO series, which describes the architecture, components, storage, and benefits of Magnum IO, the IO subsystem of the… 10 MIN READ