Eric Hein

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Citations	142	117
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Tom ConteAssociate Dean for Research, College of Computing; Professor of CS and ECE, Georgia Institute ofVerified email at gatech.edu
Bobin DengAssistant Professor of Computer Science, Kennesaw State UniversityVerified email at kennesaw.edu
Sriseshan SrikanthMemory System Architect at Reality Labs, MetaVerified email at fb.com
Jeanine CookSandia National LaboratoriesVerified email at sandia.gov
Jeffrey YoungResearch Scientist, Georgia Institute of TechnologyVerified email at gatech.edu
Richard VuducGeorgia Institute of TechnologyVerified email at cc.gatech.edu
Jiajia LiNorth Carolina State UniversityVerified email at ncsu.edu
Srinivas EswarPhD Student, Georgia Institute of TechnologyVerified email at gatech.edu
Jason RiedyMember Technical Staff, Lucata CorporationVerified email at acm.org
Patrick LavinPh.D. Student, Georgia TechVerified email at gatech.edu
Brian P. RailingCarnegie Mellon UniversityVerified email at cs.cmu.edu
Ümit V. ÇatalyürekProfessor, Computational Science and Engineering, Georgia Institute of TechnologyVerified email at gatech.edu
Abdurrahman YaşarNvidiaVerified email at nvidia.com
Bora UçarCNRS and ENS LyonVerified email at ens-lyon.fr
Jesse G. BeuGeorgia Institute of TechnologyVerified email at gatech.edu
Jason A. PooveyGeorgia Institute of TechnologyVerified email at gatech.edu
James P. FairbanksUniversity of FloridaVerified email at ufl.edu
Trevor J GoodyearMicrosoft CorporationVerified email at microsoft.com

Eric Hein

Georgia Institute of Technology

Verified email at gatech.edu

Computer Architecture High-Performance Computing Streaming Graph Analytics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
An Initial Characterization of the Emu Chick E Hein, T Conte, J Young, S Eswar, J Li, P Lavin, R Vuduc, J Riedy	26
Contech: Efficiently generating dynamic task graphs for arbitrary parallel programs BP Railing, ER Hein, TM Conte ACM Transactions on Architecture and Code Optimization (TACO) 12 (2), 25, 2015	25	2015
Programming Strategies for Irregular Algorithms on the Emu Chick E Hein, S Eswar, A Yaşar, J Li, JS Young, TM Conte, ÜV Çatalyürek, ... arXiv preprint arXiv:1901.02775, 2018	16	2018
A Microbenchmark Characterization of the Emu Chick JS Young, E Hein, S Eswar, P Lavin, J Li, J Riedy, R Vuduc, T Conte Parallel Computing, 2019	15	2019
High-speed formal verification of heterogeneous coherence hierarchies JG Beu, JA Poovey, ER Hein, TM Conte High Performance Computer Architecture (HPCA2013), 2013 IEEE 19th …, 2013	13	2013
Extending Moore’s Law via Computationally Error-Tolerant Computing B Deng, S Srikanth, ER Hein, TM Conte, E Debenedictis, J Cook, ... ACM Transactions on Architecture and Code Optimization (TACO) 15 (1), 8, 2018	12	2018
Computationally-redundant energy-efficient processing for y'all (CREEPY) B Deng, S Srikanth, ER Hein, PG Rabbat, TM Conte, E DeBenedictis, ... 2016 IEEE International Conference on Rebooting Computing (ICRC), 1-8, 2016	11	2016
Memory System Design for Ultra Low Power, Computationally Error Resilient Processor Microarchitectures S Srikanth, PG Rabbat, ER Hein, B Deng, TM Conte, E DeBenedictis, ... 2018 IEEE International Symposium on High Performance Computer Architecture …, 2018	7	2018
Energy efficiency limits of logic and memory S Agarwal, J Cook, E DeBenedictis, MP Frank, G Cauwenberghs, ... 2016 IEEE International Conference on Rebooting Computing (ICRC), 1-8, 2016	5	2016
DynoGraph: Benchmarking Dynamic Graph Analytics E Hein, T Conte SC16: International Conference for High Performance Computing, Networking …, 2016	4	2016
Integrating productivity-oriented programming languages with high-performance data structures RV Thankachan, ER Hein, BP Swenson, JP Fairbanks High Performance Extreme Computing Conference (HPEC), 2017 IEEE, 1-8, 2017	3	2017
Near-Data Processing for Dynamic Graph Analytics ER Hein Georgia Institute of Technology, 2018	2	2018
Contech: A Tool for Analyzing Parallel Programs BP Railing, ER Hein, P Vassenko, TM Conte Georgia Institute of Technology, 2013	2	2013
Identifying Malicious Entities through Massive Graph Analysis of DNS Resolution Patterns T Goodyear, E Stuart, M Fields, E Hein, M Wisneski SC `16, 2016	1	2016

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