Emil Vatai

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Aleksandr DrozdResearcher Scientist, RIKEN Center for Computational ScienceVerified email at smg.is.titech.ac.jp
Jens DomkeRIKEN Center for Computational Science (R-CCS) / Tokyo Institute of TechnologyVerified email at riken.jp
Mohamed WahibRIKEN Center for Computational Science (R-CCS)Verified email at acm.org
Chen, Peng (陳鵬)Professor, Anhui University;Univ of Sci & Tech of China;Nanyang Techno Univ;Howard Univ;CityU;KAUSTVerified email at ahu.edu.cn
Artur PodobasAssociate Professor at KTH, Royal Institute of TechnologyVerified email at podobas.net
Satoshi MatsuokaRIKEN Center for Computational Science (R-CCS) / Tokyo Institute of TechnologyVerified email at acm.org
Lingqi ZhangRIKENVerified email at riken.jp
Balazs GerofiRIKEN, IntelVerified email at riken.jp
Antal JaraiProfessor of Computer Science, ELTE, BudapestVerified email at moon.inf.elte.hu
Shweta SalariaIBM Thomas J. Watson Research CenterVerified email at ibm.com
Daichi MukunokiRIKEN Center for Computational ScienceVerified email at riken.jp
Yosuke OyamaFujitsu LimitedVerified email at fujitsu.com
Truong Thao NguyenResearcher at AIST, JapanVerified email at aist.go.jp
François TrahayProfessor, Télécom SudParis, Institut Polytechnique de ParisVerified email at telecom-sudparis.eu
Gábor FarkasEötvös Loránd UniversityVerified email at inf.elte.hu
Miquel PericàsChalmers University of TechnologyVerified email at chalmers.se
Yuetsu KodamaSenior Scientist, Center for Computational Science, RIKENVerified email at riken.go.jp
Sparsh MittalAssistant Professor at ECE and Mehta Family School of DS&AI, IIT RoorkeeVerified email at iitr.ac.in
Gábor E. GévayMaterialize, Inc.Verified email at materialize.com
Youngjun LeeArgonne National LaboratoryVerified email at anl.gov

Emil Vatai

Research Scientist, RIKEN R-CCS

Verified email at riken.jp - Homepage

Numerical methods Computational number theory HPC ML


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Matrix engines for high performance computing: A paragon of performance or grasping at straws? J Domke, E Vatai, A Drozd, P ChenT, Y Oyama, L Zhang, S Salaria, ... 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021	33	2021
Why globally re-shuffle? Revisiting data shuffling in large scale deep learning TT Nguyen, F Trahay, J Domke, A Drozd, E Vatai, J Liao, M Wahib, ... 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022	29	2022
Sieving for large Cunningham chains of length 3 of the first kind G Farkas, E Vatai Annales Univ. Sci. Budapest, Sect. Comp 40 (215-222), 1, 2013	7	2013
Cache optimized linear sieve A Járai, E Vatai arXiv preprint arXiv:1111.3297, 2011	7	2011
At the locus of performance: A case study in enhancing cpus with copious 3d-stacked cache J Domke, E Vatai, B Gerofi, Y Kodama, M Wahib, A Podobas, S Mittal, ... arXiv preprint arXiv:2204.02235, 2022	5	2022
The largest known Cunningham chain of length 3 of the first kind G Farkas, G Gévay, A Járai, E Vatai Studia Universitatis Babes-Bolyai Mathematica 59 (4), 457-462, 2014	4	2014
Inverse sieve E Vatai Annales Univ. Sci. Budapest, Sect. Comp 41 (355-360), 1, 2013	4	2013
A tool and a methodology to use macros for abstracting variations in code for different computational demands A Dubey, Y Lee, T Klosterman, E Vatai Future Generation Computer Systems, 2023	3	2023
Cache optimized sieve A Járai, E Vatai 8th Joint Conference on Mathematics and Computer Science, 249-256, 2011	2	2011
At the locus of performance: Quantifying the effects of copious 3D-stacked cache on HPC workloads J Domke, E Vatai, B Gerofi, Y Kodama, M Wahib, A Podobas, S Mittal, ... ACM Transactions on Architecture and Code Optimization 20 (4), 1-26, 2023	1	2023
Diamond matrix powers kernels E Vatai, U Singhal, R Suda Proceedings of the International Conference on High Performance Computing in …, 2020	1	2020
Sieving in primality testing and factorization E Vatai Eötvös Loránd University, Hungary, 2015		2015
Sieving in primality testing and factorization V Emil		2014
Numbers, Functions, Equations 2013 (NFE’13) Z Daróczy, I Kátai		2013

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