11967

3D FFT on a Single FPGA

Benjamin Humphries, Hansen Zhang, Jiayi Sheng, Raphael Landaverde, Martin C. Herbordt
Department of Electrical and Computer Engineering, Boston University, Boston, MA
IEEE Symposium on Field Programmable Custom Computing Machines (FCCM 2014), 2014

@article{humphries2014fft,

   title={3D FFT on a Single FPGA},

   author={Humphries, Benjamin and Zhang, Hansen and Sheng, Jiayi and Landaverde, Raphael and Herbordt, Martin C.},

   year={2014}

}

Download Download (PDF)   View View   Source Source   

1293

views

The 3D FFT is critical in many physical simulations and image processing applications. On FPGAs, however, the 3D FFT was thought to be inefficient relative to other methods such as convolution-based implementations of multigrid. We find the opposite: a simple design, operating at a conservative frequency, takes 4ms for 16^3, 21ms for 32^3, and 215ms for 64^3 single precision data points. The first two of these compare favorably with the 25ms and 29ms obtained running on a current Nvidia GPU. Some broader significance is that this is a critical piece in implementing a large scale FPGAbased MD engine: even a single FPGA is capable of keeping the FFT off of the critical path for a large fraction of possible MD simulations.
Rating: 2.5/5. From 1 vote.
Please wait...

* * *

* * *

Featured events

2018
November
27-30
Hida Takayama, Japan

The Third International Workshop on GPU Computing and AI (GCA), 2018

2018
September
19-21
Nagoya University, Japan

The 5th International Conference on Power and Energy Systems Engineering (CPESE), 2018

2018
September
22-24
MediaCityUK, Salford Quays, Greater Manchester, England

The 10th International Conference on Information Management and Engineering (ICIME), 2018

2018
August
21-23
No. 1037, Luoyu Road, Hongshan District, Wuhan, China

The 4th International Conference on Control Science and Systems Engineering (ICCSSE), 2018

2018
October
29-31
Nanyang Executive Centre in Nanyang Technological University, Singapore

The 2018 International Conference on Cloud Computing and Internet of Things (CCIOT’18), 2018

HGPU group © 2010-2018 hgpu.org

All rights belong to the respective authors

Contact us: