Design space exploration to accelerate Nelder-Mead Algorithm using FPGA

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • Nam Khanh Pham - , National University of Singapore, Agency for Science, Technology and Research, Singapore (Autor:in)
  • Amit Kumar Singh - , National University of Singapore (Autor:in)
  • Akash Kumar - , National University of Singapore (Autor:in)
  • Khin Mi Mi Aung - , Agency for Science, Technology and Research, Singapore (Autor:in)

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

OriginalspracheEnglisch
TitelProceedings - 2014 IEEE 22nd International Symposium on Field-Programmable Custom Computing Machines, FCCM 2014
Herausgeber (Verlag)IEEE, New York [u. a.]
Seiten100
Seitenumfang1
ISBN (elektronisch)9781479951116
PublikationsstatusVeröffentlicht - 21 Juli 2014
Peer-Review-StatusJa
Extern publiziertJa

Publikationsreihe

ReiheAnnual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM)

Konferenz

Titel22nd IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2014
Dauer11 - 13 Mai 2014
StadtBoston
LandUSA/Vereinigte Staaten

Schlagworte