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- Ahmed Sameh

Discipline name
H-index
Citations
Publications
World Ranking
National Ranking

Computer Science
D-index
32
Citations
5,688
104
World Ranking
6988
National Ranking
3303

2012 - Fellow of the International Association for Computational Mechanics (IACM)

2011 - SIAM Fellow For pioneering contributions to parallel algorithms for numerical linear algebra.

1999 - ACM Fellow For leadership in education and research in parallel computing, and for pioneering contributions in mathematical software for parallel architectures.

1993 - Fellow of the American Association for the Advancement of Science (AAAS)

- Operating system
- Algebra
- Algorithm

His primary areas of investigation include Linear system, Parallel computing, Algorithm, Eigenvalues and eigenvectors and Theoretical computer science. Many of his studies involve connections with topics such as SPIKE algorithm and Linear system. His studies deal with areas such as Computation and Linear algebra as well as Parallel computing.

His biological study spans a wide range of topics, including Control unit, Instruction set and Robustness. His Eigenvalues and eigenvectors research incorporates themes from Trace and Discrete mathematics. His Theoretical computer science research includes elements of Programming language, Base, Matrix, Computational science and ILLIAC.

- The Perfect Club Benchmarks: Effective Performance Evaluation of Supercomputers (402 citations)
- On Stable Parallel Linear System Solvers (237 citations)
- The Illiac IV system (220 citations)

His main research concerns Linear system, Parallel computing, Algorithm, Applied mathematics and Iterative method. His work carried out in the field of Linear system brings together such families of science as Parallel algorithm, Solver, Mathematical optimization and Computational science. The Computational science study combines topics in areas such as Boundary element method, Theoretical computer science and Speedup.

In Parallel computing, he works on issues like Scalability, which are connected to Robustness. The study incorporates disciplines such as Matrix and Numerical linear algebra in addition to Algorithm. His Applied mathematics research is multidisciplinary, relying on both Eigenvalues and eigenvectors and Conjugate gradient method.

- Linear system (26.00%)
- Parallel computing (20.40%)
- Algorithm (16.00%)

- Linear system (26.00%)
- Solver (10.80%)
- Parallel computing (20.40%)

His scientific interests lie mostly in Linear system, Solver, Parallel computing, Algorithm and Parallel algorithm. His Linear system research includes themes of Iterative method, Applied mathematics, Computation and Computational science. His Solver research is multidisciplinary, incorporating perspectives in Discrete mathematics, Block matrix, SPIKE algorithm, Block and Spike.

Ahmed Sameh combines subjects such as Scalability, Programming paradigm, Diagonal and Sparse matrix with his study of Parallel computing. He has included themes like Linear equation and Nonlinear system in his Algorithm study. His Parallel algorithm course of study focuses on Tridiagonal matrix and Finite difference method, Compact finite difference and Computational fluid dynamics.

- A scalable hybrid linear solver based on combinatorial algorithms (68 citations)
- Solution of linear systems in arterial fluid mechanics computations with boundary layer mesh refinement (49 citations)
- Nested and parallel sparse algorithms for arterial fluid mechanics computations with boundary layer mesh refinement (44 citations)

- Operating system
- Algebra
- Algorithm

Linear system, Parallel computing, Solver, Parallel algorithm and Algorithm are his primary areas of study. His research on Linear system frequently connects to adjacent areas such as Iterative method. His work deals with themes such as Scalability, Diagonal and Robustness, which intersect with Parallel computing.

As a member of one scientific family, Ahmed Sameh mostly works in the field of Solver, focusing on Block and, on occasion, Linear algebra, Array data type and Data type. His research integrates issues of Tridiagonal matrix, Spike, Computational science and Finite difference method in his study of Parallel algorithm. His Algorithm research is multidisciplinary, incorporating elements of Linear equation, Sparse matrix, Fluid mechanics, Nonlinear system and Numerical linear algebra.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

The Perfect Club Benchmarks: Effective Performance Evaluation of Supercomputers

M. Berry;D. Chen;P. Koss;D. Kuck.

ieee international conference on high performance computing data and analytics **(1989)**

674 Citations

On Stable Parallel Linear System Solvers

A. H. Sameh;D. J. Kuck.

Journal of the ACM **(1978)**

353 Citations

The Illiac IV system

W.J. Bouknight;S.A. Denenberg;D.E. McIntyre;J.M. Randall.

Proceedings of the IEEE **(1972)**

337 Citations

CEDAR: a large scale multiprocessor

D Gajski;D Kuck;D Lawrie;A Sameh.

ACM Sigarch Computer Architecture News **(1983)**

335 Citations

Parallel supercomputing today and the cedar approach

David J. Kuck;Edward S. Davidson;Duncan H. Lawrie;Ahmed H. Sameh.

Science **(1986)**

314 Citations

Parallel algorithms for dense linear algebra computations

K. A. Gallivan;R. J. Plemmons;A. H. Sameh.

Siam Review **(1990)**

313 Citations

A parallel hybrid banded system solver: the SPIKE algorithm

Eric Polizzi;Ahmed H. Sameh.

parallel computing **(2006)**

232 Citations

Impact of Hierarchical Memory Systems On Linear Algebra Algorithm Design

Kyle Gallivan;William Jalby;Ulrike Meier;Ahmed H. Sameh.

ieee international conference on high performance computing data and analytics **(1988)**

210 Citations

A Trace Minimization Algorithm for the Generalized Eigenvalue Problem

Ahmed H. Sameh;John A. Wisniewski.

SIAM Journal on Numerical Analysis **(1982)**

189 Citations

On Jacobi and Jacobi-like algorithms for a parallel computer

Ahmed H. Sameh.

Mathematics of Computation **(1971)**

180 Citations

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