Google V8's regular expressions can outrun C for real bioinformatics workflows, and it's actually not even close. I routinely write JS that outruns C and C++, and you haven't seen it in reports because my papers haven't been accepted yet. I doubt that I'm the only person capable of writing "amazing" code. Do you write JS?
As for bandwidth, there is no reason to believe that bandwidth is an issue for all parallel architectures. Stream processing works very well under the given constraints, for example.
Hello, this is Sean Wilkinson, the author of QMachine. I'm not sure what "excepted scientific computing" means, but there is an example study available at http://q.cgr.googlecode.com/hg/index.html, but it's probably going to fail if everyone on HN tries it because the data source (the NCBI) will probably crash ...
As for bandwidth, there is no reason to believe that bandwidth is an issue for all parallel architectures. Stream processing works very well under the given constraints, for example.