This is a nascent attempt to gather the literature on approximate computing into one handy, reusable repository.
To expand the bibliography, please fork this repository on GitHub and open a pull request. The approxbib.md contains both the Markdown content for the final document and the BibTeX citations. BibTeX citations should be given in Markdown indented code blocks, in a literate-programming style.
Venue name are listed as @string entries in venues.bib for consistency. Please always put venue names here, unless your new citation is to some obscure workshop that's very unlikely to come up more than once.
More style guidelines are forthcoming.
The Markdown document renders via Daan Leijen's Madoko. If you have Node and npm installed, you can just type make to build an HTML version. You can also make pdf to get a PDF version via LaTeX. The latest HTML rendering is automatically hosted online.
The Makefile also takes care of preprocessing the approxbib.md to split it into two pieces: the human-readable document, index.md, and approx.bib, the BibTeX citation file. This uses a tool called Spliterate, which is also installed from npm.
I was inspired to start an open-source, collaborative, GitHub-hosted bibliography by a few other projects: the one by Sam Tobin-Hochstadt on gradual typing, another on deep learning, and a third on multicast TCP.
This annotated bibliography is made available under the Creative Commons Attribution 4.0 International license. This means you can do almost anything with it as long as you properly attribute the original source.