Stanimire Tomov - Concepedia

Author

Stanimire Tomov

University of Tennessee at Knoxville ORCID

Also Known As

S Tomov, S. Tomov, STANIMIRE TOMOV, Stan Tomov, Stanimir Tomov, Stanimire Tomov, Stanimire Z. Tomov, Tomov Stanimire, Tomov, S., Tomov, Stan

320

Publications

7.2K

Citations

H-Index

157

Concepts

All Affiliations

University of Tennessee at Knoxville Oak Ridge National Laboratory University of Manchester Nvidia (United States)Brookhaven National Laboratory

About

Stanimire Tomov is an author at University of Tennessee at Knoxville specializing in engineering, parallel computing, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	34	102	5.2K
2	Natural Sciences	5	5	398
3	Medicine	2	2	107
4	Applied Physics	2	2	49
5	Public Health	1	1	20

Stanimire Tomov

115

Publications

5.7K

Citations

H-Index

Page 1

	Year	Citations
Towards dense linear algebra for hybrid GPU accelerated manycore systems Stanimire Tomov, Jack Dongarra, Marc Baboulin Parallel Computing Gpu ArchitectureEngineeringGpu BenchmarkingMany-core ArchitectureComputer Engineering	2009	438
Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects Emmanuel Agullo, Jim Demmel, Jack Dongarra, Journal of Physics Conference Series Numerical AnalysisCluster ComputingEngineeringComputer ArchitectureApplied Algebra	2009	420
From CUDA to OpenCL: Towards a performance-portable solution for multi-platform GPU programming Peng Du, Rick Weber, Piotr Łuszczek, Parallel Computing Computational ScienceGpu ArchitectureEngineeringCompute KernelGpu Benchmarking	2011	312
Dense linear algebra solvers for multicore with GPU accelerators Stanimire Tomov, Rajib Nath, Hatem Ltaief, Numerical AnalysisMassively-parallel ComputingDense Linear SystemsLinear SystemsMagma Library	2010	250
Harnessing GPU Tensor Cores for Fast FP16 Arithmetic to Speed up Mixed-Precision Iterative Refinement Solvers Azzam Haidar, Stanimire Tomov, Jack Dongarra, Numerical AnalysisGpu Tensor CoresEngineeringGpu BenchmarkingClassical Fp16 Arithmetic	2018	201
Accelerating scientific computations with mixed precision algorithms Marc Baboulin, Alfredo Buttari, Jack Dongarra, Computer Physics Communications Numerical AnalysisMassively-parallel ComputingComputational ScienceNumerical ComputationScientific Computations	2008	199
An Improved Magma Gemm For Fermi Graphics Processing Units Rajib Nath, Stanimire Tomov, Jack Dongarra The International Journal of High Performance Computing Applications Magmatic ProcessEngineeringComputer ArchitectureHardware SystemsGpu Computing	2010	188
A survey of numerical linear algebra methods utilizing mixed-precision arithmetic Ahmad Abdelfattah, Hartwig Anzt, Erik G. Boman, The International Journal of High Performance Computing Applications Mathematical ProgrammingNumerical AnalysisFloating Point FormatsEngineeringNumerical Computation	2021	133
Autotuning GEMM Kernels for the Fermi GPU Jakub Kurzak, Stanimire Tomov, Jack Dongarra IEEE Transactions on Parallel and Distributed Systems Computational ScienceMatrix Multiplication KernelsEngineeringCompute KernelGpu Architecture	2012	125
The Singular Value Decomposition: Anatomy of Optimizing an Algorithm for Extreme Scale Jack Dongarra, Mark Gates, Azzam Haidar, SIAM Review Numerical AnalysisMathematical ProgrammingDense Svd MethodsLarge-scale Global OptimizationEngineering	2018	106

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