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Vamsi Sripathi
Vamsi Sripathi
Senior Software Engineer, Intel
Verified email at intel.com - Homepage
Title
Cited by
Cited by
Year
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
1222019
PFLOTRAN: Reactive flow & transport code for use on laptops to leadership-class supercomputers
GE Hammond, PC Lichtner, C Lu, RT Mills
Groundwater reactive transport models 5, 141-159, 2012
1142012
Modeling subsurface reactive flows using leadership-class computing
RT Mills, GE Hammond, PC Lichtner, V Sripathi, GK Mahinthakumar, ...
Journal of Physics: Conference Series 180 (1), 012062, 2009
252009
Engineering PFLOTRAN for scalable performance on Cray XT and IBM BlueGene architectures
RT Mills, V Sripathi, G Mahinthakumar, G Hammond, PC Lichtner, ...
Proceedings of SciDAC 2010 Annual Meeting, 2010
92010
Parallel multivariate spatio-temporal clustering of large ecological datasets on hybrid supercomputers
S Sreepathi, J Kumar, RT Mills, FM Hoffman, V Sripathi, WW Hargrove
2017 IEEE International Conference on Cluster Computing (CLUSTER), 267-277, 2017
82017
Experiences and challenges scaling PFLOTRAN, a PETSc-based code for subsurface reactive flow simulations, towards the petascale on Cray XT systems
RT Mills, V Sripathi, G Mahinthakumar, GE Hammond, PC Lichtner, ...
Oral presentation given at the 2009 Cray User Group Meeting, Atlanta …, 2009
62009
Parallel k-means clustering of geospatial data sets using manycore CPU architectures
RT Mills, V Sripathi, J Kumar, S Sreepathi, F Hoffman, W Hargrove
2018 IEEE international conference on data mining workshops (ICDMW), 787-794, 2018
52018
Accelerating tensorflow on modern intel architectures
E Ould-Ahmed-Vall, M Abuzaina, MF Amin, J Bobba, RS Dubtsov, ...
First International Workshop on Architectures for Intelligent Machines, 2017
52017
Performance Analysis and Optimization of Parallel I/O in a Large Scale Groundwater Application on Petascale Architectures.
V Sripathi
52010
Performance analysis and optimization of parallel I/O in a large scale groundwater application on the Cray XT5
V Sripathi, GE Hammond, G Mahinthakumar, RT Mills, PH Worley, ...
Poster presentation, Supercomputing, 12-16, 2009
42009
Batched matrix-matrix multiplication operations for Intel Xeon processor and Intel Xeon Phi co-processor, 2015
M Guney, S Knepper, K Goto, V Sripathi, G Henry, S Story
4
Boosting deep learning training inference performance on intel xeon and intel xeon phi processors
V Saletore, D Karkada, V Sripathi, A Sankaranarayanan, K Datta
22018
Earthinsights: Parallel clustering of large earth science datasets on the summit supercomputer
S Sreepathi, J Kumar, FM Hoffman, RT Mills, V Sripathi, WW Hargrove
AGU Fall Meeting Abstracts 2018, IN33A-04, 2018
12018
SCORPIO: a scalable two-phase parallel I/O library with application to a large scale subsurface simulator
S Sreepathi, V Sripathiy, R Mills, G Hammondz, GK Mahinthakumar
20th Annual International Conference on High Performance Computing, 443-451, 2013
12013
Peri autotuning of pflotran
J Chame, C Chen, M Hall, JK Hollingsworth, K Mahinthakumar, G Marin, ...
J. Phys, 2011
12011
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
2021
Best Practices for Scaling Deep Learning Training and Inference with TensorFlow* On IntelŽ XeonŽ Processor-Based HPC Infrastructures
VS Aishwarya Bhandare, Deepthi Karkada, Kushal Datta, Anupama Kurpad , Vamsi ...
https://www.intel.ai/wp-content/uploads/sites/69 …, 2019
2019
Parallel K-means Clustering of Geospatiotemporal Data Sets Using Manycore CPU Architectures
RT Mills, V Sripathi, S Sreepathi, J Kumar, FM Hoffman, WW Hargrove
AGU Fall Meeting Abstracts 2018, IN41D-0871, 2018
2018
Boosting Deep Learning Training & Inference Performance on IntelŽ XeonŽ and IntelŽ Xeon Phi™ Processors
KD Vikram S., Deepthi K., Vamsi Sripathi, Ananth Sankaranarayanan
https://software.intel.com/en-us/articles/boosting-deep-learning-training …, 2018
2018
Optimizing Taboola TensorFlow* Serving Application on IntelŽ XeonŽ Scalable Processors
AS Ariel Pisetzky, Motty Simantov, Vamsi Sripathi, Ananth Sankaranarayanan ...
https://www.intel.ai/optimizing-taboola-tensorflow-serving-application-on …, 2018
2018
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