Kushal Datta
Kushal Datta
Research Scientist
Geverifieerd e-mailadres voor intel.com
Geciteerd door
Geciteerd door
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
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
The TileDB Array Data Storage Manager
S Papadopoulos, D Kushal, S Madden, T Mattson
VLDB 10, 349--360, 2016
Gunther: Search-based auto-tuning of mapreduce
G Liao, K Datta, TL Willke
European Conference on Parallel Processing, 406-419, 2013
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
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
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, V Vijendra Kumar Lakshmi, ...
Journal of Low Power Electronics and Applications 2 (1), 30-68, 2012
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
Boosting deep learning training inference performance on intel xeon and intel xeon phi processors
V Saletore, D Karkada, V Sripathi, A Sankaranarayanan, K Datta
An efficient design space exploration framework to optimize power-efficient heterogeneous many-core multi-threading embedded processor architectures
K Datta
Ph. D. dissertation, Dept. of Electrical and Computer Engineering, Univ. of …, 2011
Performance modeling of parallel Magnetostatic Wave calculations on shared memory multicore
R Mitra, B Joshi, A Ravindran, R Adams, A Mukherjee, JH Byun, K Datta
Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon), 135-138, 2010
Assigning global edge IDs for evolving graphs
X Zhu, TL Willke, B Keller, SC Chen, K Datta
US Patent 10,417,280, 2019
Training Multiscale-CNN for Large Microscopy Image Classification in One Hour
Workshop on Scalable Data Analytics in Scientific Computing (SDASC) 2019, 2019
Training Multiscale-CNN for Large Microscopy Image Classification in One Hour
K Datta, I Hossain, S Choi, V Saletore, K Ambert, WJ Godinez, X Zhang
International Conference on High Performance Computing, 463-477, 2019
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 App. 16/259,608, 2019
Compiler Techniques for Application Level Memory Optimization for MPSoC
G Kornaros
Multi-Core Embedded Systems, 273-298, 2018
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