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 | 125 | 2019 |
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 | 25 | 2009 |
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 | 9 | 2017 |
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 | 9 | 2010 |
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 | 6 | 2009 |
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 | 5 | 2018 |
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 | 5 | 2017 |
Performance Analysis and Optimization of Parallel I/O in a Large Scale Groundwater Application on Petascale Architectures. V Sripathi | 5 | 2010 |
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 | 4 | 2009 |
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 | 2 | 2018 |
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 | 1 | 2018 |
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 | 1 | 2013 |
Peri autotuning of pflotran J Chame, C Chen, M Hall, JK Hollingsworth, K Mahinthakumar, G Marin, ... J. Phys, 2011 | 1 | 2011 |
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 Intel® Xeon® 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 Intel® Xeon® and Intel® 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 Intel® Xeon® Scalable Processors AS Ariel Pisetzky, Motty Simantov, Vamsi Sripathi, Ananth Sankaranarayanan ... https://www.intel.ai/optimizing-taboola-tensorflow-serving-application-on …, 2018 | | 2018 |
Taboola: Achieving HigherPerformance through Targeted Software Optimization V Sripathi https://www.intel.ai/wp-content/uploads/sites/69/Taboola_AI_WhitePaper_0719.pdf, 2018 | | 2018 |