Comparison of AIE & AIE-ML vs AIE-ML v2 Farrow Filter Design Implementation - Comparison of AIE & AIE-ML vs AIE-ML v2 Farrow Filter Design Implementation - 2026.1 English - XD100

Vitis Tutorials: AI Engine Development (XD100)

Document_ID
XD100
Release_Date
2026-07-20
Version
2026.1 English

The following table compares the farrow filter implementation across AIE, AIE-ML, and AIE-ML v2 architectures. Notice that AIE-ML v2 requires about twice the tiles for kernel computation compared to AIE. It needs two more tiles than AIE-ML architecture, yet delivers almost twice the performance.

Design

Tiles for AIE Kernels

Tiles for Buffers

Total Tiles

Throughput

Relative MSPS per tile

farrow - AIE (PLIO)

2

5

5

1135 MSPS (HW_EMU)

227.6

farrow - AIE-ML (GMIO)

5

8

8

1052 MSPS (HW_EMU)

131.5

farrow - AIE-MLv2 (GMIO)

5

10

10

1947 MSPS (HW_EMU)

194.7

* Total Tiles: Represents the total count of tiles, including those that have both kernels and buffers within the same tile.