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Project Admins:

• Ivan Šimeček

[Ivan Šimeček]

Heterogeneous cluster for acceleration of linear algebra computations

** Authors: Šimeček I., Buk Z. **

Keywords

GPGPU; grid computing; remote calls; library for numerical linear algebra.

What's new

March 10, 2011 - version 0.1 of this project is released.
July 20, 2011 - version 0.2 of this project is released.
December 1, 2011 - version 1.0 of this project is released.

Download:

https://sourceforge.net/projects/egnla/files/latest/download

Client side is only for demonstration purposes !
For fully functionality it requires with:
1) CUDA SDK with CUBLAS ( for GPGPU dense matrix computing),
2) MPI implementation

Documentation:

User's guide PDF file (in Czech)
http://sourceforge.net/projects/egnla/files/dokumentace.pdf/download
Final report PDF file (in Czech)
http://sourceforge.net/projects/egnla/files/zprava.pdf/download

TODO list

Integration with:

1. CUSPARSE ( for GPGPU sparse matrix computing),
2. standard library for vector and matrix manipulation like ATLAS or GOTO,
3. sparse matrix solver (like SuperLU or UMFpack).
4. library for GPU factorization (MAGMA)

Acknowledgement

This research has been supported by CESNET Development Fund (project 390/2010).