# MLoF: Machine Learning Accelerators for the Low-Cost FPGA Platforms
## Abbreviations
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Dataset** & **Device** & **LUTs** & **DSPs** & **Latency** & **Power** & **PLP** & **CPLP** \\ \hline \multirow{9}{*}{Gutter Oil} & EF2M45 & 681 & / & 12.28 & 416.85 & 5120.52 & 132,621.57 \\  & EG4S20 & 661 & / & 11.52 & 325.63 & 3751.54 & 187,201.70 \\  & GW2A & 417 & 0 & 8.62 & 409.26 & 3528.20 & 596,265.12 \\  & Cyclone10 LP10 CL & 360 & 0 & 6.33 & 263 & 1664 & 83,033.65 \\  & MAX10M50 DAF & 363 & 0 & 5.70 & 302 & 1722 & 146,370.34 \\  & ICE40 UPC5 & 451 & 0 & 7.92 & 133.90 & 1060.76 & 40,309.02 \\  & MachXO2 & 494 & / & 8.86 & 184.71 & 1635.83 & 489,911.23 \\  & M2S010 & 396 & 0 & 9.87 & 279 & 2752.34 & 164,864.87 \\  & PGL12G & 271 & 0 & 9.77 & 548 & 5356.15 & 278,519.90 \\  & Artix-7 & 264 & 0 & 9.40 & 587 & 5517.80 & 440,872.22 \\ \hline \multirow{9}{*}{Smart Grid} & EF2M45 & 272 & 0 & 7.95 & 387.38 & 3081.21 & 79,803.41 \\  & EG4S20 & 272 & 0 & 7.62 & 281.08 & 2142.35 & 106,903.45 \\  & GW2A & 313 & 0 & 7.86 & 400.69 & 3150.21 & 532,385.33 \\  & Cyclone10 LP10 CL & 284 & 0 & 5.93 & 261 & 1546.95 & 77,192.66 \\  & MAX10M50 DAF & 287 & 0 & 5.38 & 301 & 1620.28 & 137,724.06 \\  & ICE40 UPC5 & 285 & 0 & 5.87 & 122 & 716.14 & 27,213.32 \\  & MachXO2 & 285 & / & 5.95 & 184 & 1095.17 & 32,745.52 \\  & M2S010 & 291 & 0 & 6.38 & 293 & 1868.75 & 111,938.36 \\  & PGL12G & 307 & 0 & 6.33 & 543 & 3436.65 & 178,705.64 \\  & Artix-7 & 188 & 0 & 8.02 & 588 & 4715.76 & 376,789.22 \\ \hline \multirow{9}{*}{Gutter Oil} & EF2M45 & 1412 & 0 & 18.90 & 446.36 & 8436.73 & 218,511.20 \\  & EG4S20 & 1463 & 0 & 17.63 & 374.87 & 6608.87 & 329,782.61 \\  & GW2A & 693 & 0 & 10.17 & 437.50 & 4450.69 & 752,166.19 \\  & Cyclone10 LP10 CL & 636 & 0 & 8.06 & 264 & 2128.10 & 106,192.39 \\  & MAX10M50 DAF & 648 & 0 & 7.11 & 303 & 2153.72 & 183,066.54 \\  & ICE40 UPC5 & 715 & 0 & 7.92 & 135 & 1069.47 & 40,639.86 \\  & MachXO2 & 774 & / & 8.86 & 187 & 1656.07 & 49,516.55 \\  & M2S010 & 685 & 0 & 9.35 & 316 & 2955.86 & 177,056.25 \\  & PGL12G & 679 & 0 & 12.82 & 553 & 7088.35 & 368,594.41 \\  & Artix-7 & 655 & 0 & 10.20 & 590 & 6018 & 480,838.20 \\ \hline \multirow{9}{*}{Wine Quality} & EF2M45 & 266 & 0 & 8.26 & 387.38 & 3199.73 & 82,873.11 \\  & EG4S20 & 266 & 0 & 8.39 & 286.44 & 2403.78 & 119,948.59 \\  & GW2A & 311 & 0 & 7.94 & 401.59 & 3187.39 & 538,668.59 \\  & Cyclone10 LP10 CL & 284 & 0 & 5.77 & 261.42 & 1507.09 & 75,203.61 \\  & MAX10M50 DAF & 287 & 0 & 5.54 & 301.81 & 1670.82 & 142,019.71 \\  & ICE40 UPC5 & 305 & 0 & 5.60 & 121 & 677.6 & 25,748.8 \\  & MachXO2 & 304 & / & 5.54 & 179 & 991.66 & 29,650.63 \\  & M2S010 & 301 & 0 & 6.72 & 291.47 & 1958.41 & 117,308.58 \\  & PGL12G & 316 & 0 & 7.22 & 443.83 & 3204.90 & 166,654.61 \\  & Artix-7 & 177 & 0 & 8.20 & 488 & 4001.60 & 319,727.84 \\ \hline \multirow{9}{*}{Rain} & EF2M45 & 269 & 0 & 7.65 & 382.18 & 2925.24 & 75,763.62 \\  & EG4S20 & 269 & 0 & 7.79 & 281.84 & 2196.36 & 109,598.15 \\ \cline{1-1}  & GW2A & 315 & 0 & 7.94 & 400.68 & 3180.23 & 537,458.69 \\ \cline{1-1}  & Cyclone10 LP10 CL & 280 & 0 & 5.77 & 261.29 & 1508.69 & 75,283.55 \\ \cline{1-1}  & MAX10M50 DAF & 283 & 0 & 5.09 & 301.38 & 1533.12 & 130,315.21 \\ \cline{1-1}  & ICE40 UPC5 & 303 & 0 & 5.80 & 121 & 701.80 & 26,668.40 \\ \cline{1-1}  & MachXO2 & 301 & / & 5.94 & 174 & 1033.21 & 30,893.04 \\ \cline{1-1}  & M2S010 & 306 & 0 & 6.57 & 289.28 & 1900.28 & 113,826.79 \\ \cline{1-1}  & PGL12G & 312 & 0 & 7.23 & 443.86 & 3210 & 166,919.77 \\ \cline{1-1}  & Artix-7 & 178 & 0 & 7.42 & 487 & 3613.54 & 288,721.85 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: DT deployment results on the low-cost FPGAs.