Newest ones are: meta-par (a work stealing scheduler as a library that can shuttle work btwn CPU,gpu, and distributing across other machines.) Pending one you can find online: distributed haskell (the production version is on github, and there's a proof of concept package on hackage called remote) Things that have been around a bit that have ongoin work: repa, dph, accelerate, and to some extent hmatrix.

There's a few other projects that aren't quite public yet going on that should make it possible to do some of the standard things you might want like a nice staticly typed fast data frame (which is going to look at pandas as an initial role model) and some other parts of the data analysis flow.

and on the DataFrame front, look to https://github.com/cartazio/HasCol in a few days - week for a prealpha/alpha look at what shall be the kernel of the haskell story for doing a nice data frame. :)