3 ms·
> ASPDAC ’25, January 20–23, 2025, Tokyo, Japan > Experimental results demonstrate that our design maintains a top-1 accuracy of 70.95% on the ImageNet dataset
by kvemkon 2y ago
> ASPDAC ’25, January 20–23, 2025, Tokyo, Japan
> Experimental results demonstrate that our design maintains a top-1 accuracy of 70.95% on the ImageNet dataset and achieves a throughput of 1627 images per second on a single Alveo U280 FPGA, outperforming other FPGA-based MobileNet accelerators.
Well, other accelerators are smaller with fewer resources and apparently cheaper.
The conference is yet to be held, but the hardware is already obsolete.
Alveo U280 (launched 2019) is obsolete according to digikey and not mentioned on [1], page [2] is gone.
V100 GPU is outdated (launched 2017) either. Last prices (with VAT):
- V100: 7000 / 8900 / 9800 Euro (seems to be still available)
- U280: 10200 Euro (only 16 GB instead of 32 GB) (seems to be not easy available)
vs. prices from the article:
- V100: $11458
- U280: $7717
Looking at performance:
- nVidia V100 GPU: 112TFLOPs (FP16 Tensor)
- AMD RX 7900 XTX GPU: 131 TFLOPs (FP16) (not obsolete!) for 1000 Euro
Comparing an FPGA solution to an affordable and very easy available GPU would be more practical.
[1] https://www.amd.com/en/products/accelerators/alveo.html https://www.amd.com/en/products/accelerators/alveo.html
[2] https://www.xilinx.com/products/boards-and-kits/alveo/u280.html https://www.xilinx.com/products/boards-and-kits/alveo/u280.h...