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The Modern Platform for Technical Computing A single place for modeling, simulation, and user built applications with the Julia language. Designed with access to CPUs and GPUs for multi-threading, parallel and distributed computing, JuliaHub's supercomputing infrastructure allows teams to model breakthrough science and technology. The next-generation platform for model-based design Leverage Scient
Releasing the mandrill package on Hackage Posted in: haskell. Releasing the “mandrill” package Today I’m releasing the mandrill package for interfacing with the Mandrill API. In case you don’t know what Mandrill is, is an API-based service for sending transactional emails. The free plan ships with a free and attractive quota of 12k email a month, which makes it a cheap solution for small-medium bu
Code and ideas in computer science. And maybe a short story or two. In my last post, I identified some issues with subtractive types, namely that math identities such as ∀ a. a + -a = 0, once they are translated into Haskell, would not be valid for all a. More precisely, the existence of a function of type cancelSub :: forall a. (a :+: Negative a) -> Zero would make it easy to implement a contradi
Idris supports semantic highlighting of compiler output. In this post, I’ll sketch what the feature brings users, why it’s interesting, what inspired it, and how it’s implemented in the Idris compiler. Rather than spending a bunch of time describing a series of screenshots, here’s a quick video of it in action, inside of idris-mode for Emacs: Note that all the interesting features there are imple
How can we get a sense of what someone tweets about? One way would be to identify themes, or topics, that tend to occur in a user’s tweets. Perhaps we can look through the user’s profile, continually scrolling down and getting a feel for the different topics that they tweet about. But what if we could use machine learning to discover topics automatically, to measure how much each topic occurs, and
Measuring the impact of the .NET Garbage Collector 18 Jun 2014 - 1534 words There is an update to this post, based on feedback I received. In my last post I talked about the techniques that the Roslyn team used to minimise the effect of the Garbage Collector (GC). Firstly I guess its worth discussing what the actual issue is. GC Pauses and Latency In early versions of the .NET CLR, garbage collect
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