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| sf-slack | <torsten.reuschel> @mkurc : xc7k325t passes fuzzers, but 16GB RAM are not enough for post-processing of output https://github.com/SymbiFlow/prjxray/blob/master/fuzzers/074-dump_all/create_node_tree.py : fails at 93%, hence 17-18GB would be required. Will have to switch gears/machine before being able to proceed. A couple of additional GB should be feasible in this case, but how to deal with ever increase tree sizes? Would it be | 16:55 |
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| sf-slack | possible to rewrite create_node_tree.py to use less memory by swapping to file? @mithro: This may be the work that you mentioned to be already in progress? | 16:55 |
| mithro | Torsten: I would be worried if it was 160gb memory, but less than 32gb isn't really worth the time at the moment IMHO | 16:57 |
| mithro | 256gb machines are cheap and easy to get | 16:58 |
| mithro | I wouldn't say no to someone writing a much better version that uses less memory | 16:58 |
| cr1901 | 32gb is the RAM I have currently installed in my highest end computer (a 2017 Skylake) :) | 17:04 |
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| sf-slack | <pgielda> @torsten.reuschel I would suggest spinning up an instance on GCP with more ram. | 23:03 |
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