Zobrazeno 1 - 10 of 15 pro vyhledávání: '"Saurabh Raje"'
3
Training of deep learning pipelines on memory-constrained GPUs via segmented fused-tiled execution
Autor: Yufan Xu, Saurabh Raje, Atanas Rountev, Gerald Sabin, Aravind Sukumaran-Rajam, P. Sadayappan
Publikováno v: Proceedings of the 31st ACM SIGPLAN International Conference on Compiler Construction.
Training models with massive inputs is a significant challenge in the development of Deep Learning pipelines to process very large digital image datasets as required by Whole Slide Imaging (WSI) in computational pathology and analysis of brain fMRI i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b83292740c6bb83f04f6c3c50e97c8b
https://doi.org/10.1145/3497776.3517766
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6
Efficient Scaling of Dynamic Graph Neural Networks
Autor: Shashanka Ubaru, Shivmaran S. Pandian, Saurabh Raje, Yogish Sabharwal, Toyotaro Suzumura, Venkatesan T. Chakaravarthy
Publikováno v: SC
We present distributed algorithms for training dynamic Graph Neural Networks (GNN) on large scale graphs spanning multi-node, multi-GPU systems. To the best of our knowledge, this is the first scaling study on dynamic GNN. We devise mechanisms for re
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd7c41e2b362488de70c281bc8023b46
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7
A Rapid Prototyping Approach for High Performance Density-Based Clustering
Autor: Sundar Balasubramaniam, Poonam Goyal, Ankit Sultana, Navneet Goyal, Lakshit Bhutani, Saiyedul Islam, Saurabh Raje
Publikováno v: DSAA
Big Data has significantly increased the dependence of data analytics community on High Performance Computing (HPC) systems. However, efficiently programming an HPC system is still a tedious task requiring specialized skills in parallelization and th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9112d593056077316449e3ddf9a61946
https://doi.org/10.1109/dsaa.2019.00041
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8
On optimizing distributed non-negative Tucker decomposition
Autor: Shivmaran S. Pandian, Saurabh Raje, Venkatesan T. Chakaravarthy, Yogish Sabharwal
Publikováno v: ICS
The Tucker decomposition generalizes singular value decomposition (SVD) to high dimensional tensors. It factorizes a given N-dimensional tensor as the product of a small core tensor and a set of N factor matrices. Non-negative Tucker Decomposition (N
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b5fa90e6c72c710f5b17a69eebbf79b4
https://doi.org/10.1145/3330345.3330367
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10
Decentralised firewall for malware detection
Autor: Saurabh Raje, Neil Wilson, Shyamal Vaderia, Rudrakh Panigrahi
This paper describes the design and development of a decentralized firewall system powered by a novel malware detection engine. The firewall is built using blockchain technology. The detection engine aims to classify Portable Executable (PE) files as
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94bf6837be82f7727a42226c2c3e1c15
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