Mark Frederick Hoemmen

1.9k total citations
28 papers, 954 citations indexed

About

Mark Frederick Hoemmen is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Mark Frederick Hoemmen has authored 28 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hardware and Architecture, 14 papers in Computational Theory and Mathematics and 8 papers in Computer Networks and Communications. Recurrent topics in Mark Frederick Hoemmen's work include Parallel Computing and Optimization Techniques (15 papers), Matrix Theory and Algorithms (11 papers) and Advanced Optimization Algorithms Research (7 papers). Mark Frederick Hoemmen is often cited by papers focused on Parallel Computing and Optimization Techniques (15 papers), Matrix Theory and Algorithms (11 papers) and Advanced Optimization Algorithms Research (7 papers). Mark Frederick Hoemmen collaborates with scholars based in United States and United Kingdom. Mark Frederick Hoemmen's co-authors include James Demmel, Julien Langou, Laura Grigori, Katherine Yelick, Marghoob Mohiyuddin, Sivasankaran Rajamanickam, J. Demmel, Heidi Thornquist, Michael A. Heroux and Ichitaro Yamazaki and has published in prestigious journals such as SHILAP Revista de lepidopterología, SIAM Journal on Scientific Computing and Acta Numerica.

In The Last Decade

Mark Frederick Hoemmen

28 papers receiving 880 citations

Peers

Countries citing papers authored by Mark Frederick Hoemmen

Since Specialization

Citations

This map shows the geographic impact of Mark Frederick Hoemmen'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 Mark Frederick Hoemmen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Frederick Hoemmen more than expected).

Fields of papers citing papers by Mark Frederick Hoemmen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Frederick Hoemmen. 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 Mark Frederick Hoemmen. The network helps show where Mark Frederick Hoemmen may publish in the future.

Co-authorship network of co-authors of Mark Frederick Hoemmen

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Frederick Hoemmen. A scholar is included among the top collaborators of Mark Frederick Hoemmen 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 Mark Frederick Hoemmen. Mark Frederick Hoemmen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Embedded Ensemble Propagation for Improving Performance, Portability, and Scalability of Uncertainty Quantification on Emerging Computational Architectures 2017 ·SIAM Journal on Scientific Computing ·Eric Phipps, Marta D’Elia, Harold Edwards, Mark Frederick Hoemmen, Jonathan Joseph Hu, Sivasankaran Rajamanickam	9
2	Towards Performance Portability in a Compressible CFD Code 2017 ·(unknown), Andrew Bradley, (unknown), James Overfelt, Ross Wagnild, (unknown), Mark Frederick Hoemmen, (unknown)	40
3	Optimization of Block Sparse Matrix-Vector Multiplication on Shared-Memory Parallel Architectures 2016 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·(unknown), Mark Frederick Hoemmen	13
4	Exploring versioned distributed arrays for resilience in scientific applications 2016 ·The International Journal of High Performance Computing Applications ·Andrew A. Chien, Pavan Balaji, (unknown), (unknown), Hideaki Fujita, Kamil Iskra, (unknown), Ziming Zheng, Jeff R. Hammond, Ignacio Laguna, David F. Richards, Anshu Dubey, Brian Van Straalen, Mark Frederick Hoemmen, Michael A. Heroux, Keita Teranishi, Andrew Siegel	5
5	Versioned Distributed Arrays for Resilience in Scientific Applications: Global View Resilience 2015 ·Procedia Computer Science ·Andrew A. Chien, Pavan Balaji, Pete Beckman, (unknown), (unknown), Hideaki Fujita, Kamil Iskra, (unknown), Ziming Zheng, Robert Schreiber, Jeff R. Hammond, James Dinan, Ignacio Laguna, David F. Richards, Anshu Dubey, Brian Van Straalen, Mark Frederick Hoemmen, Michael A. Heroux, Keita Teranishi, Andrew Siegel	18
6	A Numerical Soft Fault Model for Iterative Linear Solvers 2015 ·(unknown), Mark Frederick Hoemmen, Frank Mueller	12
7	Exploiting Data Representation for Fault Tolerance 2014 ·(unknown), Mark Frederick Hoemmen, Frank Mueller	4
8	Towards Extreme-Scale Simulations with Next-Generation Trilinos: A Low Mach Fluid Application Case Study 2014 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Paul Lin, (unknown), Stefan P. Domino, Travis C. Fisher, Mark Frederick Hoemmen, Jonathan Joseph Hu, Eric Phipps, (unknown), Sivasankaran Rajamanickam, Christopher Siefert, Eric C. Cyr, (unknown)	7
9	Improving the Performance of CA-GMRES on Multicores with Multiple GPUs 2014 ·Ichitaro Yamazaki, Hartwig Anzt, Stanimire Tomov, Mark Frederick Hoemmen, Jack Dongarra	38
10	Domain Decomposition Preconditioners for Communication-Avoiding Krylov Methods on a Hybrid CPU/GPU Cluster 2014 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Ichitaro Yamazaki, Sivasankaran Rajamanickam, Erik G. Boman, Mark Frederick Hoemmen, Michael A. Heroux, Stanimire Tomov	22
11	Using Miniapplications in a Mantevo Framework for Optimizing Sandia's SPARC CFD Code on Multi-Core, Many-Core, and GPU-Accelerated Compute Platforms 2013 ·51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition ·(unknown), (unknown), Mark Frederick Hoemmen	1
12	Amesos2 and Belos: Direct and Iterative Solvers for Large Sparse Linear Systems 2012 ·SHILAP Revista de lepidopterología ·(unknown), Mark Frederick Hoemmen, Sivasankaran Rajamanickam, Heidi Thornquist	12
13	Communication-optimal Parallel and Sequential QR and LU Factorizations 2012 ·SIAM Journal on Scientific Computing ·James Demmel, Laura Grigori, Mark Frederick Hoemmen, Julien Langou	209
14	Amesos2 and Belos: Direct and Iterative Solvers for Large Sparse Linear Systems 2012 ·Scientific Programming ·(unknown), Mark Frederick Hoemmen, Sivasankaran Rajamanickam, Heidi Thornquist	62
15	A Communication-Avoiding, Hybrid-Parallel, Rank-Revealing Orthogonalization Method 2011 ·Mark Frederick Hoemmen	13
16	Communication-avoiding krylov subspace methods 2010 ·James Demmel, Mark Frederick Hoemmen	140
17	Communication-optimal iterative methods 2009 ·Journal of Physics Conference Series ·James Demmel, Mark Frederick Hoemmen, Marghoob Mohiyuddin, Katherine Yelick	2
18	Minimizing communication in sparse matrix solvers 2009 ·Marghoob Mohiyuddin, Mark Frederick Hoemmen, James Demmel, Katherine Yelick	74
19	Avoiding communication in sparse matrix computations 2008 ·Proceedings - IEEE International Parallel and Distributed Processing Symposium ·J. Demmel, Mark Frederick Hoemmen, Marghoob Mohiyuddin, Katherine Yelick	84
20	Communication-avoiding parallel and sequential QR factorizations 2008 ·UC Berkeley ·James Demmel, Laura Grigori, Mark Frederick Hoemmen, Julien Langou	27

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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