Re: D GPU execution module: A survey of requirements.
On Wednesday, 9 May 2018 at 23:26:19 UTC, H Paterson wrote: Hello, I'm interested in writing a module for executing D code on GPUs. I'd like to bounce some ideas off D community members to see what this module needs do. [...] Check out https://github.com/libmir/dcompute
Re: Researcher question – what's the point of semicolons and curly braces?
On Tuesday, 3 May 2016 at 04:23:48 UTC, Walter Bright wrote: 1. Redundancy in specification means the compiler can catch more 'typo' mistakes rather than having them compile successfully and then behave mysteriously. If a language has 0 redundancy, then any 8745b48%%&*&hjdsfh string would be a valid program. Redundancy is a critical feature of high reliability languages. Many languages have removed redundancy only to put it back in after bitter experience. The classic is implicit declaration of variables. An example of this would be that Apple SSL bug that has largely been blamed on optional curly braces for if statements with one line in the body.
Re: What are you planning for 2016?
On Tuesday, 5 January 2016 at 12:27:12 UTC, Ola Fosheim Grøstad wrote: 2. integrate with numerical solutions like TensorFlow? I'm currently working on something along the same lines as TensorFlow -- I started work on this before TensorFlow was announced. I haven't thought too much about writing a distributed backend, but currently there are some reasonably inefficient proof-of-concept CPU and CUDA backends. It's still fairly early on in development, and I'm more of an academic than an engineer. That said, I've managed to train some modestly sized convolutional networks without trouble. I'll open source it at some point, but I haven't got a time-frame for that.
Re: Natural language parsing (NLP) with D
On Wednesday, 21 October 2015 at 09:09:27 UTC, Chris wrote: What exactly is sentiment analysis and how do you go about it? Determining whether the sentiment of a piece of text is positive, neutral, or negative. Currently twitter is a pretty popular source of data in academia, as emoticons can be used as sufficiently accurate proxies for labels. Using psuedo-labelled tweets, one can then come up with a feature representation (e.g. bag of words, tf-idf) and use some sort of classifier (e.g. linear SVM or softmax regression) to determine the sentiment of novel tweets. This is a pretty simple approach, and probably not hard to improve on.
Re: D ranked as #25 by IEEE spectrum
On Thursday, 24 September 2015 at 00:16:27 UTC, Idan Arye wrote: On Wednesday, 23 September 2015 at 22:20:35 UTC, Meta wrote: On Wednesday, 23 September 2015 at 19:28:00 UTC, Ola Fosheim Grøstad wrote: http://spectrum.ieee.org/static/interactive-the-top-programming-languages-2015 They list D as useful for web development and embedded, but not desktop apps... And they list Rust was useful for desktop apps and web development. Something's fishy here. They list TCL for embedded. This is behind ridiculous... A lot of EDA tools use TCL as a scripting language for automating tasks. It's not quite embedded programming, but it is related.
