Narayanan Sundaram

Software Test Engineer

Department of Electrical Engineering and Computer Sciences|University of California at Berkeley

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Papers40 papers

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The LDBC Graphalytics Benchmark

Alexandru Iosup, Ahmed Musaafir,Alexandru Uta, Arnau Prat Pérez, Gábor Szárnyas,Hassan Chafi, Ilie Gabriel Tănase,Lifeng Nai, Michael Anderson,Mihai Capotă,Narayanan Sundaram,Peter Boncz

(2020)

Bibtex

Matrix-normal models for fMRI analysis

Michael Shvartsman,Narayanan Sundaram,Mikio Aoi,Adam Charles,Theodore L. Willke,Jonathan D. Cohen

AISTATS, pp.1914-1923, (2018)

Cited by4EIBibtex

Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms

Ancy Sarah Tom,Narayanan Sundaram,Nesreen K. Ahmed,Shaden Smith,Stijn Eyerman, Midhunchandra Kodiyath,Ibrahim Hur,Fabrizio Petrini,George Karypis

HPEC, pp.1-7, (2017)

Cited by6EIBibtex

Galactos: computing the anisotropic 3-point correlation function for 2 billion galaxies

Brian Friesen,Md. Mostofa Ali Patwary, Brian Austin,Nadathur Satish,Zachary Slepian,Narayanan Sundaram, Deborah Bard,Daniel J. Eisenstein,Jack Deslippe,Pradeep Dubey, Prabhat

SC '17: The International Conference for High Performance Computing, Networking, Storage and Analysi..., pp.1-11, (2017)

Cited by1EIBibtex

Deep learning at 15PF: supervised and semi-supervised classification for scientific data

Thorsten Kurth,Jian Zhang,Nadathur Satish,Evan Racah,Ioannis Mitliagkas,Md. Mostofa Ali Patwary,Tareq M. Malas,Narayanan Sundaram,Wahid Bhimji, Mikhail Smorkalov,Jack Deslippe, Mikhail Shiryaev

SC '17: The International Conference for High Performance Computing, Networking, Storage and Analysi..., (2017): 1-11

Cited by56EIBibtex

High-Performance Incremental SVM Learning on Intel(^{ iny { extregistered }}) Xeon Phi™ Processors

Dipanjan Sengupta, Yida Wang,Narayanan Sundaram,Theodore L. Willke

international supercomputing conference, pp.120-138, (2017)

Bibtex

Galactos: computing the anisotropic 3-point correlation function for 2 billion galaxies

Brian Friesen,Md. Mostofa Ali Patwary,Brian Austin,Nadathur Satish, Zachary Slepian,Narayanan Sundaram, Deborah Bard,Daniel J. Eisenstein,Jack Deslippe,Pradeep Dubey,Prabhat

SC, (2017): 20:1-20:11

Cited by1EIBibtex

Bridging the Gap between HPC and Big Data frameworks

Michael J. Anderson,Shaden Smith,Narayanan Sundaram,Mihai Capota, Zheguang Zhao,Subramanya Dulloor,Nadathur Satish,Theodore L. Willke

PVLDB, no. 8 (2017): 901-912

Cited by37EIBibtex

High-Performance Incremental SVM Learning on Intel® Xeon Phi™ Processors

Dipanjan Sengupta, Yida Wang,Narayanan Sundaram,Theodore L. Willke

ISC, pp.120-138, (2017)

Cited by1EIBibtex

Designing scalable b -M atching algorithms on distributed memory multiprocessors by approximation

Arif M. Khan,Alex Pothen,Md. Mostofa Ali Patwary,Mahantesh Halappanavar,Nadathur Satish,Narayanan Sundaram,Pradeep Dubey

ieee international conference on high performance computing data and analytics, pp.66, (2016)

Bibtex

Efficient Approximation Algorithms for Weighted $b$-Matching

Arif M. Khan,Alex Pothen,Md. Mostofa Ali Patwary,Nadathur Rajagopalan Satish,Narayanan Sundaram,Fredrik Manne,Mahantesh Halappanavar,Pradeep Dubey

SIAM Journal on Scientific Computing, no. 5 (2016)

Cited by21Bibtex

Graphicionado: A high-performance and energy-efficient accelerator for graph analytics

Tae Jun Ham, Lisa Wu,Narayanan Sundaram,Nadathur Satish,Margaret Martonosi

MICRO-49: The 49th Annual IEEE/ACM International Symposium on Microarchitecture Taipei ..., pp.1-13, (2016)

Cited by141EIBibtex

LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms

Alexandru Iosup,Tim Hegeman, Wing Lung Ngai, Stijn Heldens,Arnau Prat-Pérez, Thomas Manhardt,Hassan Chafi,Mihai Capota,Narayanan Sundaram, Michael J. Anderson,Ilie Gabriel Tanase,Yinglong Xia

PVLDB, no. 13 (2016): 1317-1328

Cited by69EIBibtex

GraphIn: An Online High Performance Incremental Graph Processing Framework

Dipanjan Sengupta,Narayanan Sundaram, Xia Zhu,Theodore L. Willke,Jeffrey Young,Matthew Wolf,Karsten Schwan

Euro-Par, (2016): 319-333

Cited by33EIBibtex

GraphPad: Optimized Graph Primitives for Parallel and Distributed Platforms

Michael J. Anderson,Narayanan Sundaram,Nadathur Satish,Md. Mostofa Ali Patwary,Theodore L. Willke,Pradeep Dubey

IPDPS, pp.313-322, (2016)

Cited by37EIBibtex

Data tiering in heterogeneous memory systems

Subramanya Dulloor,Amitabha Roy, Zheguang Zhao,Narayanan Sundaram,Nadathur Satish, Rajesh Sankaran,Jeff Jackson,Karsten Schwan

EuroSys, pp.1-16, (2016)

Cited by114EIBibtex

GraphMat: High performance graph analytics made productive

Narayanan Sundaram,Nadathur Rajagopalan Satish,Md Mostofa Ali Patwary,Subramanya R Dulloor,Satya Gautam Vadlamudi,Dipankar Das,Pradeep Dubey

Bibtex

Improving graph partitioning for modern graphs and architectures

Dominique LaSalle,Md. Mostofa Ali Patwary,Nadathur Satish,Narayanan Sundaram,Pradeep Dubey,George Karypis

IA3@SC, (2015)

Cited by16EIBibtex

GraphMat: High performance graph analytics made productive

Narayanan Sundaram,Nadathur Satish,Md. Mostofa Ali Patwary,Subramanya Dulloor, Michael J. Anderson,Satya Gautam Vadlamudi,Dipankar Das,Pradeep Dubey

Proceedings of The Vldb Endowment, no. 11 (2015)

Cited by210EIBibtex

Scalable Bayesian Optimization Using Deep Neural Networks

Jasper Snoek,Oren Rippel,Kevin Swersky,Ryan Kiros,Nadathur Satish,Narayanan Sundaram,Md. Mostofa Ali Patwary, Prabhat,Ryan P. Adams

International Conference on Machine Learning, (2015)

Cited by495EIBibtex

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