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fabinsch avatar fabinsch commented on July 28, 2024

Note that currently, the pipeline [conda:macos-latest:Debug:c++17] is running with the option CHECK_RUNTIME_MALLOC which fails for several tests, meaning we still have eigen memory allocation in the dense solver. To not block PRs, this pipeline is allowed to fail in #117 .

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fabinsch avatar fabinsch commented on July 28, 2024

The allocations here and here can be avoided by using again layzProduct instead of the operator*.

In our unittests, memory alloctions happen just above a dimension of the problem. A check with the proxqp_benchmark shows that a small speedup (2-5%) could be achieved by using layzProduct instead of the operator* for small size problems, while a great loss in performance is observed for bigger problems. We should maybe allow some dynamic memory allocation and let Eigen handle it under the hood how to treat different sizes.

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josechenf avatar josechenf commented on July 28, 2024

Could this be an option for the user?

In massive multi-threaded environments, memory allocations can cause a huge performance drop as they often block other threads from allocating memory at the same time.
Hard-real time/embedded applications may also find some difficulties as the computation time may no longer be deterministic.

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