no code implementations • ICML 2020 • Subho Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar Iyer
The problem of scheduling of workloads onto heterogeneous processors (e. g., CPUs, GPUs, FPGAs) is of fundamental importance in modern datacenters.
no code implementations • NeurIPS Workshop AIPLANS 2021 • Yash Akhauri, Juan Pablo Munoz, Ravishankar Iyer, Nilesh Jain
Neural networks are becoming increasingly ubiquitous in a wide range of use cases.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 14 Dec 2020 • Archit Patke, Saurabh Jha, Haoran Qiu, Jim Brandt, Ann Gentile, Joe Greenseid, Zbigniew Kalbarczyk, Ravishankar Iyer
Netscope has a lower training cost and accurately estimates the impact of congestion on application runtime with a correlation between 0. 7and 0. 9 for common scientific applications.
Distributed, Parallel, and Cluster Computing Networking and Internet Architecture
no code implementations • 15 Dec 2018 • Yogatheesan Varatharajah, Brent Berry, Jan Cimbalnik, Vaclav Kremen, Jamie Van Gompel, Matt Stead, Benjamin Brinkmann, Ravishankar Iyer, Gregory Worrell
An ability to map seizure-generating brain tissue, i. e., the seizure onset zone (SOZ), without recording actual seizures could reduce the duration of invasive EEG monitoring for patients with drug-resistant epilepsy.
no code implementations • 1 Sep 2018 • Yogatheesan Varatharajah, Brent Berry, Sanmi Koyejo, Ravishankar Iyer
However, those approaches have failed to account for the variability among participants that is becoming increasingly evident as a result of recent clinical-trial-based studies.
no code implementations • NeurIPS 2017 • Yogatheesan Varatharajah, Min Jin Chong, Krishnakant Saboo, Brent Berry, Benjamin Brinkmann, Gregory Worrell, Ravishankar Iyer
This paper presents a probabilistic-graphical model that can be used to infer characteristics of instantaneous brain activity by jointly analyzing spatial and temporal dependencies observed in electroencephalograms (EEG).