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One other optimization you can do is eliminating some expensive jumps when setting the data register. This does require some inline assembly, but only to prevent the compiler from optimizing it out. T…
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# Heuristic and Approximation Algorithms
## Overview
Heuristic and approximation algorithms are widely used to solve optimization problems where finding an exact solution is computationally expens…
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Suppose I have an optimization problem where the function to be optimized requires solving some expensive iterative sub-problem. It would be efficient if I could re-use the solution from the last step…
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Hi!
I noticed that a lot of the examples using `pygmo` for optimization have to rely on some "hacks" (re-initializing the object for every thread: can be expensive and clunky) ([one](https://docs.t…
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### Feature description
I have an extensive imagery processing pipeline, including computation intensive histogram matching, many image adjustments and many compositing steps, but running gdal2tile…
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When sentry update memory usage, mincore syscall will be used to check whether pages are resident in memory, this is expensive for CPU utilization, because syscall in sentry kernel will invoke a vmexi…
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Given a STM, make a subset with `min_dist` arg. Every two entries of the output STM should have at least the `min_dist` distance.
The results will be used for #16.
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# Ask a Question
### Question
The dynamic quantization is computed as listed below in the ONNX backend tests
```
x_min = np.minimum(0, np.min(X))
x_max = np.maximum(0, np.max(X)…
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I don't think it is a bottleneck, we can get to it during an MQ.
If it is a single comparison, even a string comparison, it is most likely ok to leave it as `return m_stringValue == other.m_stringV…