Ali Charara

Orcid: 0000-0002-9509-7794

Affiliations:
  • University of Tennessee Knoxville, TN, USA


According to our database1, Ali Charara authored at least 11 papers between 2014 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2019
Batched Triangular Dense Linear Algebra Kernels for Very Small Matrix Sizes on GPUs.
ACM Trans. Math. Softw., 2019

SLATE: design of a modern distributed and accelerated linear algebra library.
Proceedings of the International Conference for High Performance Computing, 2019

Least squares solvers for distributed-memory machines with GPU accelerators.
Proceedings of the ACM International Conference on Supercomputing, 2019

Linear Systems Solvers for Distributed-Memory Machines with GPU Accelerators.
Proceedings of the Euro-Par 2019: Parallel Processing, 2019

2018
Real-Time Massively Distributed Multi-object Adaptive Optics Simulations for the European Extremely Large Telescope.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Tile Low-Rank GEMM Using Batched Operations on GPUs.
Proceedings of the Euro-Par 2018: Parallel Processing, 2018

Exploiting Data Sparsity for Large-Scale Matrix Computations.
Proceedings of the Euro-Par 2018: Parallel Processing, 2018

2017
A framework for dense triangular matrix kernels on various manycore architectures.
Concurr. Comput. Pract. Exp., 2017

2016
Adaptive Optics Simulation for the World's Largest Telescope on Multicore Architectures with Multiple GPUs.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2016

Redesigning Triangular Dense Matrix Computations on GPUs.
Proceedings of the Euro-Par 2016: Parallel Processing, 2016

2014
Pipelining Computational Stages of the Tomographic Reconstructor for Multi-Object Adaptive Optics on a Multi-GPU System.
Proceedings of the International Conference for High Performance Computing, 2014


  Loading...