Ramesh Chukka

Intel (United Kingdom) — United Kingdom

Computer Science · Physical Sciences

3h-index461citations10works6.02yr avg
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Research Topics

Advanced Neural Network Applications(4), ECG Monitoring and Analysis(3), Parallel Computing and Optimization Techniques(2), Non-Invasive Vital Sign Monitoring(2), IoT and Edge/Fog Computing(1)

Publications10 total

MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from μWatts to MWatts for Sustainable AI
2025· 12 cited
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI
arXiv (Cornell University)·2024Open Access
Deep Learning Models on CPUs: A Methodology for Efficient Training
arXiv (Cornell University)·2022Open Access
MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It.
arXiv (Cornell University)·2020· 4 citedOpen Access
MLPerf Mobile Inference Benchmark
arXiv (Cornell University)·2020· 2 citedOpen Access
MLPerf Inference Benchmark
2020· 441 cited
Analysis and Comparison of ECG Signal Quality Assessments Methods
Advances in intelligent systems and computing·2019
A Novel Architecture for the Realization of an Internet of Things- Enabled ECG Signal Quality Aware using Empirical Mode Decomposition for Healthcare System
International Journal of Engineering & Technology·2018· 1 citedOpen Access
Implementation of Heartbeat Sensing Using PSoC3
Advances in intelligent systems and computing·2016
Design and development of Automatic Test setup for On Board Computer using PSoC and MEMS
2012· 1 cited

Frequent Co-authors

Vijay Janapa Reddi(5), David Kanter(3), Peter Mattson(3), Guenther Schmuelling(3), Mark Charlebois(3), William Chou(3), Jared Duke(3), Sachin Idgunji(3), Tom St. John(3), Anton Lokhmotov(3), Arun Tejusve Raghunath Rajan(3), Thomas Atta-fosu(3), Ch. Sumanth Kumar(3), Arya Tschand(2), Anirban Ghosh(2), Jeremy Holleman(2), Csaba Király(2), Pawan Ambalkar(2), Ritika Borkar(2), Trevor Cockrell(2)