Static memory used by engines
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Descrição
It seems like the engines use a lot of "static" memory, i.e. when we start the engines, they take up noticeable memory even when nothing has been executed. In our testing, we started 16 engines across 2 nodes, and as soon as we did, the memory usage on each node went from ~150MB to ~1.2GB, i.e. it seems like 8 engines consume ~1.05GB static memory. This is of course both the engine and nanny process, but based on `htop` , almost all of it seems to come from the engine process. ~134MB static memory usage per engine seems a bit high. Is there a way we could reduce this?
Guia de contribuição
Direção de pesquisa
Start by reproducing the reported setup: launch 16 engines across two nodes and compare each node's baseline memory with its memory after startup, using htop as described. Separate engine and nanny process usage, then identify what accounts for the engine's static allocation. Done means reducing the idle per-engine memory footprint and verifying the change with the same measurement.
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Avaliação
- Stack de tecnologia
- jupyter, python
- Domínio
- distributed-systems, performance
- Tipo de issue
- Bug
- Dificuldade
- 4/5
- Tempo estimado
- 3-5 dias
- Status de atividade
- Estagnada
- Clareza
- Precisa de esclarecimento
- Facilidade para iniciantes
- 25/100