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A systolic array for a 2D-FIR filter for image processing

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Presentation on theme: "A systolic array for a 2D-FIR filter for image processing"— Presentation transcript:

1 A systolic array for a 2D-FIR filter for image processing
Sebastian Siegel ECE 734

2 Outline Why Systolic Arrays (SA)? Design Issues Approach Solution
Result

3 Why Systolic Arrays? (1) 4-level nested do-loop:

4 Why Systolic Arrays? (2) Sequential execution on one MAC requires too much time Example: image: 512x512, filter: 3x Million 10 Mhz = 0.23 s Algorithm in nested do-loop structure  Single Assignment Format possible  Parallel execution possible Systematic approach vs. “rocket science”

5 Design Issues Recall: Avoid multiple access to the same data by pipelining it Minimize execution time and registers Maximize Usage of Processing Elements (PEs)

6 Approach (1) Steps: Rewrite Algorithm in Single Assignment Format (SAF) Draw and examine Dep. Graph (DG) Map DG to SA by generating suitable solutions and chose an optimal one Problem: SA too big  partitioning  data reaccessed or cache needed

7 Approach (2) Partitioning of the DG generates even more (and better) solutions:

8 Solution

9 Result Fully pipelined SA 100% PE utilization
SA can be partitioned with relatively small cache and 100% data reuse or without cache and high data reuse PEs and their interconnections (# of registers per pipeline) independent of filter size Low latency for the results Constant I/O rate Fast MATLAB® implementation


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