Add example graph folding prototype. #1477
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Signed-off-by: Keith Rothman <[email protected]>
Signed-off-by: Keith Rothman <[email protected]>
Signed-off-by: Keith Rothman <[email protected]>
Signed-off-by: Keith Rothman <[email protected]>
Signed-off-by: Keith Rothman <[email protected]>
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I've updated this with a new schema that finds "Maximum Edge Cardinality Bicliques" and then does a greedy set cover to select the bicliques. Given that both maximum edge biclique and set cover are NP complete, this is almost certainly not optimal. There is also a linear scan in both the wire to node and node to wire lookups, but the N is not large (~27 max). Results:
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Signed-off-by: Keith Rothman <[email protected]>
litghost
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Signed-off-by: Keith Rothman <[email protected]>
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@litghost I'm probably not going to have time to really review this. Could you get someone else to look at it (maybe someone from BYU)? |
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@nelsobe Can you find someone to review this? |
| tile_type_to_count, key= | ||
| lambda tile_type: tile_type_to_count[tile_type] * tile_type_to_wires[tile_type] | ||
| ): | ||
| print( |
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Perhaps you could print something at the top of the output of this for loop that describes what is being printed.
ie TILE_TYPE - NUM_TILES - NUM_WIRES, or something more descriptive.
| sizeof_wire_in_tile_idx = struct.calcsize('i') | ||
| cost_per_wire = 2 * sizeof_delta + sizeof_wire_in_tile_idx | ||
| max_wires_per_tile = 0 | ||
| _ = cost_per_wire |
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Is this cost_per_wire used anywhere else?
This creates an example efficient folded routing graph for use in place and route tools. Table of results:
I'm working on creating the binary node to wire map and node to downstream pip maps based on the same basic premise. I'll update this table as I get results.