no code implementations • 23 Mar 2024 • Shrihari Sridharan, Surya Selvam, Kaushik Roy, Anand Raghunathan
On several state-of-art networks for a range of autonomous navigation tasks, Ev-Edge achieves 1. 28x-2. 05x improvements in latency and 1. 23x-2. 15x in energy over an all-GPU implementation on the NVIDIA Jetson Xavier AGX platform for single-task execution scenarios.
no code implementations • 13 Mar 2023 • Shrihari Sridharan, Jacob R. Stevens, Kaushik Roy, Anand Raghunathan
Transformers have achieved great success in a wide variety of natural language processing (NLP) tasks due to the attention mechanism, which assigns an importance score for every word relative to other words in a sequence.
no code implementations • 12 Oct 2020 • Sachindranath Jayaraman, Yogesh Kumar Prajapaty, Shrihari Sridharan
The aim of this manuscript is to understand the dynamics of products of nonnegative matrices.
Dynamical Systems 15B48, 15A27, 37H99
no code implementations • 25 Feb 2020 • Sourjya Roy, Shrihari Sridharan, Shubham Jain, Anand Raghunathan
To address this challenge, there is a need for tools that can model the functional impact of non-idealities on DNN training and inference.