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## Objective
RelayMiner processes relays but consumes a large amount of RAM, often leading to the process getting killed due to OOM if resource constrained. RelayMiner should be able to handle a la…
okdas updated
1 month ago
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The `ComposerJsonProcessor` class performs multiple operations on JSON:
* Translation of the downloaded `list.json` from the Packagist API into the JSON file containing links to all the projects/pa…
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When aggregating the gdp1h trajectories into one file the RAM memory utilized during this process requires a machine with greater capacity than 16GB of RAM.
Research needs to be done in regards to un…
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# Concepts for Efficient Coding
## Course Description
This course aims to provide an intuitive and deeper understanding of what happens when you run code. By focusing on the underlying computer ar…
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(This is to summarize my comments https://github.com/QuantEcon/QuantEcon.jl/pull/109#issuecomment-216474996, https://github.com/QuantEcon/QuantEcon.jl/pull/109#issuecomment-216727212, https://github.c…
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We found that measurement-error mitigation that should be memory-efficient, like the TensoredFilter, is implemented with creating a vector whose length is exponential in the number of qubits. This…
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Hi. I've found, that you unfreeze the whole GAN, and making steps only via specific optimizer (for generator and discriminator). But when you do loss.backward, gradients are computed for the WHOLE GAN…
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Memory Efficient Convolution (MEC) is an alternative to `im2col` to lower the tensor and convolution kernel to feed them to BLAS for Matrix-Multiplication.
Compared to FFT and Winograd it uses much…
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Some operators create extra arrays, which can cause memory problems with larger models. In some cases this is avoidable. For example, the [ReLu step math](https://github.com/nengo/nengo/blob/master/ne…
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http://arxiv.org/abs/1606.03401