Mikhail Smelyanskiy

5.0k total citations
25 papers, 615 citations indexed

About

Mikhail Smelyanskiy is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, Mikhail Smelyanskiy has authored 25 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hardware and Architecture, 13 papers in Computer Networks and Communications and 6 papers in Computational Mechanics. Recurrent topics in Mikhail Smelyanskiy's work include Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (10 papers) and Distributed and Parallel Computing Systems (4 papers). Mikhail Smelyanskiy is often cited by papers focused on Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (10 papers) and Distributed and Parallel Computing Systems (4 papers). Mikhail Smelyanskiy collaborates with scholars based in United States, China and India. Mikhail Smelyanskiy's co-authors include Pradeep Dubey, Jatin Chhugani, Daehyun Kim, Anthony D. Nguyen, Christopher J. Hughes, Changkyu Kim, Nadathur Satish, Victor W. Lee, Michael Deisher and Per Hammarlund and has published in prestigious journals such as The Journal of Chemical Physics, Proceedings of the IEEE and Communications of the ACM.

In The Last Decade

Mikhail Smelyanskiy

25 papers receiving 596 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mikhail Smelyanskiy 236 190 110 94 81 25 615
Nathan Doss 366 1.6× 398 2.1× 64 0.6× 78 0.8× 50 0.6× 2 836
Guangwen Yang 168 0.7× 200 1.1× 92 0.8× 41 0.4× 59 0.7× 44 535
Leonardo Dagum 192 0.8× 204 1.1× 58 0.5× 114 1.2× 61 0.8× 16 637
Dror Maydan 194 0.8× 202 1.1× 51 0.5× 102 1.1× 103 1.3× 8 632
Azzam Haidar 204 0.9× 137 0.7× 54 0.5× 59 0.6× 28 0.3× 36 496
Ramesh Menon 164 0.7× 175 0.9× 49 0.4× 85 0.9× 61 0.8× 8 559
Robert Strzodka 154 0.7× 110 0.6× 48 0.4× 212 2.3× 108 1.3× 25 525
Leonid Oliker 464 2.0× 462 2.4× 134 1.2× 143 1.5× 51 0.6× 78 844
Guochun Shi 249 1.1× 249 1.3× 64 0.6× 36 0.4× 96 1.2× 9 610
Ester M. Garzón 115 0.5× 98 0.5× 54 0.5× 70 0.7× 106 1.3× 64 714

Countries citing papers authored by Mikhail Smelyanskiy

Since Specialization
Citations

This map shows the geographic impact of Mikhail Smelyanskiy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mikhail Smelyanskiy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Smelyanskiy more than expected).

Fields of papers citing papers by Mikhail Smelyanskiy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikhail Smelyanskiy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mikhail Smelyanskiy. The network helps show where Mikhail Smelyanskiy may publish in the future.

Co-authorship network of co-authors of Mikhail Smelyanskiy

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Smelyanskiy. A scholar is included among the top collaborators of Mikhail Smelyanskiy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mikhail Smelyanskiy. Mikhail Smelyanskiy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Park, Jongsoo, Ping Tang, Jianyu Huang, et al.. (2021). Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. IEEE Micro. 41(5). 93–100. 1 indexed citations
2.
He, Xi, Dheevatsa Mudigere, Mikhail Smelyanskiy, & Martin Takáč. (2017). Distributed Hessian-Free Optimization for Deep Neural Network.. National Conference on Artificial Intelligence. 2 indexed citations
3.
Zee, Field G., Tyler Smith, Bryan Marker, et al.. (2016). The BLIS Framework. ACM Transactions on Mathematical Software. 42(2). 1–19. 34 indexed citations
4.
Economon, Thomas D., Dheevatsa Mudigere, Gaurav Bansal, et al.. (2016). Performance optimizations for scalable implicit RANS calculations with SU2. Computers & Fluids. 129. 146–158. 26 indexed citations
5.
Chow, Edmond, Xing Liu, Mikhail Smelyanskiy, & Jeff R. Hammond. (2015). Parallel scalability of Hartree–Fock calculations. The Journal of Chemical Physics. 142(10). 104103–104103. 25 indexed citations
6.
Mudigere, Dheevatsa, Srinivas Sridharan, Jongsoo Park, et al.. (2015). Exploring Shared-Memory Optimizations for an Unstructured Mesh CFD Application on Modern Parallel Systems. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 723–732. 10 indexed citations
7.
Chow, Edmond, Xing Liu, Sanchit Misra, et al.. (2015). Scaling up Hartree–Fock calculations on Tianhe-2. The International Journal of High Performance Computing Applications. 30(1). 85–102. 16 indexed citations
8.
Park, Jongsoo, Mikhail Smelyanskiy, Karthikeyan Vaidyanathan, et al.. (2015). Optimizations in a high-performance conjugate gradient benchmark for IA-based multi- and many-core processors. The International Journal of High Performance Computing Applications. 30(1). 11–27. 6 indexed citations
9.
Satish, Nadathur, Changkyu Kim, Jatin Chhugani, et al.. (2015). Can traditional programming bridge the ninja performance gap for parallel computing applications?. Communications of the ACM. 58(5). 77–86. 3 indexed citations
10.
Heinecke, Alexander, Alexander Breuer, Michael Bäder, et al.. (2014). Petascale High Order Dynamic Rupture Earthquake Simulations on Heterogeneous Supercomputers. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 3–14. 69 indexed citations
11.
Pennycook, S. J., Christopher J. Hughes, Mikhail Smelyanskiy, & Stephen A. Jarvis. (2013). Exploring SIMD for Molecular Dynamics, Using Intel® Xeon® Processors and Intel® Xeon Phi Coprocessors. Warwick Research Archive Portal (University of Warwick). 47 indexed citations
12.
Williams, Samuel, Dhiraj Kalamkar, Amik Singh, et al.. (2012). Optimization of geometric multigrid for emerging multi- and manycore processors. IEEE International Conference on High Performance Computing, Data, and Analytics. 1. 1–11. 28 indexed citations
13.
Deisher, Michael, et al.. (2011). Designing and dynamically load balancing hybrid LU for multi/many-core. Computer Science - Research and Development. 26(3-4). 211–220. 12 indexed citations
14.
Kim, Dae‐Hyun, Joshua D. Trzasko, Mikhail Smelyanskiy, et al.. (2010). High-performance 3D Compressive Sensing MRI reconstruction. PubMed. 2010. 3321–3324. 7 indexed citations
15.
Lee, Victor W., Changkyu Kim, Jatin Chhugani, et al.. (2010). Debunking the 100X GPU vs. CPU myth. ACM SIGARCH Computer Architecture News. 38(3). 451–460. 140 indexed citations
16.
Smelyanskiy, Mikhail, David W. Holmes, Jatin Chhugani, et al.. (2009). Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures. IEEE Transactions on Visualization and Computer Graphics. 15(6). 1563–1570. 39 indexed citations
17.
Chen, Yen-Kuang, Jatin Chhugani, P.K. Dubey, et al.. (2008). Convergence of Recognition, Mining, and Synthesis Workloads and Its Implications. Proceedings of the IEEE. 96(5). 790–807. 46 indexed citations
18.
Tyson, Gary, Mikhail Smelyanskiy, & Edward S. Davidson. (2001). Evaluating the use of register queues in software pipelined loops. IEEE Transactions on Computers. 50(8). 769–783. 4 indexed citations
19.
Smelyanskiy, Mikhail, Gary Tyson, & Edward S. Davidson. (2000). Register Queues: A New Hardware/Software Approach to Efficient Software Pipelining. International Conference on Parallel Architectures and Compilation Techniques. 3–12. 6 indexed citations
20.
Anastassiu, Hristos T., et al.. (1998). Scattering from relatively flat surfaces using the adaptive integral method. Radio Science. 33(1). 7–16. 15 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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