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It's no secret that Ocelot is no longer being actively developed and Tom Pallister himself has suggested people use alternatives like YARP, although he has said he will update Ocelot with each new ver…
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Right now, we run the document processing and the indexing on two different actors in order to take advantage of multithreading. (Side-note: it has been observed by @PSeitz that multithreading does no…
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Right now Flapjack retains all history for all checks _forever_. Flapjack doesn't provide a mechanism to clean this history - it's up to the operator to know which Redis keys contain the history, and …
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As described by @RachedBenMustapha in the PR #1 , We need to design some kind of fallback behavior for whenever enough errors occur simultaneously (but slowly) to fill the memory with log entries.
We…
ghost updated
8 years ago
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I am running a single cell model with a large number 1e9 photons on mulitple cores. Each core is taking 5.9GB, which seems excessive.
I think think the issue is that we seem to allocate memory f…
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When loading a file that contains an auxiliary coordinate that can be computed using a formula term, the auxiliary coordinate ends up having huge chunks. This leads to memory issues when trying to use…
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Currently the Cats Effect memory model is implicitly defined via implementation details and the Java Memory Model (JMM). In some cases this works okay but in other cases this means that our memory mod…
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If the reason you're not using `skim` is raw performance, my branch, [`two_percent`](https://github.com/kimono-koans/two_percent/tree/vendored), is faster, more efficient and uses less memory than `fz…
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Why?
Right now it takes more than 200 G memory to run the sightglasspostprocessing in generate_metadata.
Which cause it buggy and painful to run. And in the long term the data size will grow in O(…
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https://geektutu.com/post/tf2doc-rnn-lstm-text.html
TensorFlow2.0 TF2.0 TensorFlow 2 / 2.0 官方文档中文版，循环神经网络(Recurrent Neural Network, RNN) 和 长短期记忆模型(Long Short-Term Memory，LSTM) 分类 IMDB 。