Design space exploration to accelerate Nelder-Mead Algorithm using FPGA
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Nelder-Mead algorithm (NMA) is the best-known algorithm for multidimensional optimization without involving derivative computations. Due to the simplicity in implementation and the fast convergent property of NMA, it is widely used in the fields of statistics, engineering, physics and medical sciences. In practice, when objective function is complicated, the optimization procedure requires a lot of computation efforts, leading to a time-consuming process. This work introduces a NMA solver engine fully implemented on FPGA hardware and performs design space exploration to provide various solutions suitable for FPGA device
Details
Original language | English |
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Title of host publication | Proceedings - 2014 IEEE 22nd International Symposium on Field-Programmable Custom Computing Machines, FCCM 2014 |
Publisher | IEEE, New York [u. a.] |
Pages | 100 |
Number of pages | 1 |
ISBN (electronic) | 9781479951116 |
Publication status | Published - 21 Jul 2014 |
Peer-reviewed | Yes |
Externally published | Yes |
Publication series
Series | Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM) |
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Conference
Title | 22nd IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2014 |
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Duration | 11 - 13 May 2014 |
City | Boston |
Country | United States of America |