Sam Skalicky

According to our database1, Sam Skalicky authored at least 12 papers between 2013 and 2018.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2018
Hot & Spicy: Improving Productivity with Python and HLS for FPGAs.
Proceedings of the 26th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2018

2015
Designing customized ISA processors using high level synthesis.
Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2015

A Parallelizing Matlab Compiler Framework and Run Time for Heterogeneous Systems.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

A unified hardware/software MPSoC system construction and run-time framework.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2014
High Level Hardware/Software Embedded System Design with Redsharc.
CoRR, 2014

Performance modeling of pipelined linear algebra architectures on FPGAs.
Comput. Electr. Eng., 2014

Mission control: A performance metric and analysis of control logic for pipelined architectures on FPGAs.
Proceedings of the 2014 International Conference on ReConFigurable Computing and FPGAs, 2014

Enabling FPGA support in Matlab based heterogeneous systems.
Proceedings of the 2014 International Conference on ReConFigurable Computing and FPGAs, 2014

2013
High level synthesis: Where are we? A case study on matrix multiplication.
Proceedings of the 2012 International Conference on Reconfigurable Computing and FPGAs, 2013

Distributed execution of transmural electrophysiological imaging with CPU, GPU, and FPGA.
Proceedings of the 2012 International Conference on Reconfigurable Computing and FPGAs, 2013

Linear algebra computations in heterogeneous systems.
Proceedings of the 24th International Conference on Application-Specific Systems, 2013

Performance Modeling of Pipelined Linear Algebra Architectures on FPGAs.
Proceedings of the Reconfigurable Computing: Architectures, Tools and Applications, 2013


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