Machine learning on the output of quartus opencl compiler
OpenCL-based high-level synthesis framework is getting popular to used for pro- gramming FPGA as a number of commerical and research frameworks announced. We can improve the tuning of OpenCL compiler by predicting which pragma can improve the utilization of FPGA board such as ALUTs, DSP Blocks, Kern...
Main Author: | Soe, Lynn |
---|---|
Other Authors: | Nachiket Kapre |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/66506 |
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