Ashkan Tousimojarad

According to our database, Ashkan Tousimojarad authored at least 11 papers between 2013 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2017

2D Image Convolution using Three Parallel Programming Models on the Xeon Phi.

Ashkan Tousimojarad, Wim Vanderbauwhede, W. Paul Cockshott

CoRR, 2017

2016

GPRM : a high performance programming framework for manycore processors.

Ashkan Tousimojarad

PhD thesis, 2016

2015

Steal Locally, Share Globally - A Strategy for Multiprogramming in the Manycore Era.

Ashkan Tousimojarad, Wim Vanderbauwhede

Int. J. Parallel Program., 2015

Compiling Vector Pascal to the XeonPhi.

Mozhgan Chimeh, Paul Cockshott, Susanne B. Oehler, Ashkan Tousimojarad, Tian Xu

Concurr. Comput. Pract. Exp., 2015

Number of Tasks, not Threads, is Key.

Ashkan Tousimojarad, Wim Vanderbauwhede

Proceedings of the 23rd Euromicro International Conference on Parallel, 2015

Efficient Parallel Linked List Processing.

Ashkan Tousimojarad, Wim Vanderbauwhede

Proceedings of the Parallel Computing: On the Road to Exascale, 2015

2014

Cache-aware Parallel Programming for Manycore Processors.

Ashkan Tousimojarad, Wim Vanderbauwhede

CoRR, 2014

A Parallel Task-Based Approach to Linear Algebra.

Ashkan Tousimojarad, Wim Vanderbauwhede

Proceedings of the IEEE 13th International Symposium on Parallel and Distributed Computing, 2014

Comparison of Three Popular Parallel Programming Models on the Intel Xeon Phi.

Ashkan Tousimojarad, Wim Vanderbauwhede

Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014

2013

The Glasgow Parallel Reduction Machine: Programming Shared-memory Many-core Systems using Parallel Task Composition.

Ashkan Tousimojarad, Wim Vanderbauwhede

Proceedings of the Proceedings 6th Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software, 2013

An Efficient Thread Mapping Strategy for Multiprogramming on Manycore Processors.

Ashkan Tousimojarad, Wim Vanderbauwhede

Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013