Difference between revisions of "LAPACK/BLAS for FPGA"
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− | [[Category:Hot]] [[Category:Digital]] [[Category:Master Thesis]] [[Category:Available]] [[Category:Accelerator]] [[Category:FPGA]] [[Category:SBB CHCRC]] [[Category:Model Predictive Controller]] [[Category:least-square fitting]] | + | [[Category:Hot]] [[Category:Digital]] [[Category:Master Thesis]] [[Category:Available]] [[Category:Accelerator]] [[Category:FPGA]] [[Category:SBB CHCRC]] [[Category:Model Predictive Controller]] [[Category:least-square fitting]] [[Category:Barandre]] |
Revision as of 17:06, 3 February 2015
Contents
Short Description
The master thesis will be carry on in collaboration with ABB CHCRC and will focus on the acceleration of specific LAPACK/BLAS kernels on FPGA.
The LAPACK and BLAS libraries have been developed decades ago to perform standard linear algebra operations in an efficient and reliable way. Aim of this thesis is to identify a subset of these routines that are naturally suited to be executed on an FPGA. Out of this subset, a few simple operations are to be implemented on an FPGA, while the implementation is generic enough to take into account actual problem data size as well as resource constraints imposed by the actual FPGA hardware.
Status: Available
- Looking for Interested Students
- Type: Master- or Semester Thesis
- Supervisors: Andrea Bartolini, Michael Schaffner
Prerequisites
- VLSI I, VLSI II
- Matlab, C++, VHDL or System Verilog
Character
- 20% Theory
- 60% Implementation
- 20% Testing