Kushal Datta
Kushal Datta
Principal SW Engineer
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Cited by
Cited by
The TileDB Array Data Storage Manager
S Papadopoulos, D Kushal, S Madden, T Mattson
VLDB 10, 349--360, 2016
Reconfigurable computing cluster (RCC) project: Investigating the feasibility of FPGA-based petascale computing
R Sass, WV Kritikos, AG Schmidt, S Beeravolu, P Beeraka
15th Annual IEEE Symposium on Field-Programmable Custom Computing Machines …, 2007
Gunther: Search-based auto-tuning of mapreduce
G Liao, K Datta, TL Willke
European Conference on Parallel Processing, 406-419, 2013
Method, system, and device for dynamic energy efficient job scheduling in a cloud computing environment
NK Jain, TL Willke, K Datta, N Yigitbasi
US Patent 9,342,376, 2016
Analytic image format for visual computing
CR Strong, V Gupta, LCM Remis, K Datta, A Raghunath
US Patent 11,068,757, 2021
Efficient 8-bit quantization of transformer neural machine language translation model
A Bhandare, V Sripathi, D Karkada, V Menon, S Choi, K Datta, V Saletore
arXiv preprint arXiv:1906.00532, 2019
Energy efficient scheduling of mapreduce workloads on heterogeneous clusters
N Yigitbasi, K Datta, N Jain, T Willke
Green Computing Middleware on Proceedings of the 2nd International Workshop, 1, 2011
RBoot: Software infrastructure for a remote FPGA laboratory
K Datta, R Sass
15th Annual IEEE Symposium on Field-Programmable Custom Computing Machines …, 2007
Performance analysis of coarse-grained parallel genetic algorithms on the multi-core sun UltraSPARC T1
JH Byun, K Datta, A Ravindran, A Mukherjee, B Joshi
IEEE Southeastcon 2009, 301-306, 2009
Tuning for distributed data storage and processing systems
GD Liao, N Yigitbasi, T Willke, K Datta
US Patent App. 13/663,901, 2014
A machine learning approach to modeling power and performance of chip multiprocessors
C Zhang, A Ravindran, K Datta, A Mukherjee, B Joshi
2011 IEEE 29th International Conference on Computer Design (ICCD), 45-50, 2011
CASPER: embedding power estimation and hardware-controlled power management in a cycle-accurate micro-architecture simulation platform for many-core multi-threading …
K Datta, A Mukherjee, G Cao, R Tenneti, VVK Lakshmi, A Ravindran, ...
Journal of Low Power Electronics and Applications 2 (1), 30-68, 2012
Training Multiscale-CNN for Large Microscopy Image Classification in One Hour
Workshop on Scalable Data Analytics in Scientific Computing (SDASC) 2019, 2019
Automated design flow for diode-based nanofabrics
K Datta, A Mukherjee, A Ravindran
ACM Journal on Emerging Technologies in Computing Systems (JETC) 2 (3), 219-241, 2006
Visual fog
SW Yang, YK Chen, RMI Altarawneh, JPM Chiabrando, SW Chin, K Datta, ...
US Patent App. 16/652,038, 2020
Boosting deep learning training inference performance on intel xeon and intel xeon phi processors
V Saletore, D Karkada, V Sripathi, A Sankaranarayanan, K Datta
Case report. Ascarial liver abscess: report of 2 cases.
GG Bhave, KS Datta, VK Gupta
Indian J Pathol Microbiol, 1978
Automated resource usage configurations for deep learning neural network workloads on multi-generational computing architectures
M Arunachalam, K Datta, V Saletore, V Verma, D Karkada, V Sripathi, ...
US Patent 11,029,971, 2021
Challenges and Opportunities in Transportation Data
K Tufte, K Datta, A Jindal, D Maier, RL Bertini
Proceedings of the 1st ACM/EIGSCC Symposium on Smart Cities and Communities, 1-8, 2018
An efficient design space exploration framework to optimize power-efficient heterogeneous many-core multi-threading embedded processor architectures
K Datta
The University of North Carolina at Charlotte, 2011
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