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International Journal of Reconfigurable Computing
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International Journal of Reconfigurable Computing
/
2016
/
Article
/
Tab 3
/
Research Article
An Accelerating Solution for
-Body MOND Simulation with FPGA-SoC
Table 3
Calculating the potential in
particle-mesh with different devices.
Computing unit
Type
Frequency (MHz)
The number of processor cores or CUDA cores or pipelines
s/frame
Mpairs/s
Power (watt)
Speedup
ARM Cortex-A9
Embedded CPU
667
2
345.7
3.106
1.5
1
ARM Cortex-A15
Embedded CPU
2300
4
32.24
33.30
ā5
10.7
Intel i5-2476m
CPU
1600
2
26.97
39.81
17
12.8
Intel Xeon E5-2660
CPU
2200
8
15.75
68.17
95
21.9
Tegra Kepler
Embedded GPU
950
192
5.592
192.0
<2
61.8
Tesla K80
GPU
562
0.1701
6312
ā100
2032.2
Zynq-7020 (normal)
FPGA
142.8
9
1.107
970.0
1.3
312.3
Zynq-7020 (bandwidth reduced)
FPGA
142.8
9
0.853
1200.5
1.3
386.5