What is TFM-CUDA ?
TFM-CUDA is a CUDA implementation of parallel algorithms able to:
- scan a matrix or a set of matrices against a sequence (see also TFM-Scan),
- compute the P-value corresponding to a score, or the score corresponding to a Pvalue (see also TFM-Pvalue),
- compare two matrices
The method is described in the paper referenced below, and uses parallelism on graphics processing units (GPUs). TFM-CUDA was designed to speed-up some commonly computations on PWMs. If you prefer full-featured tools, please use TFM-Scan and TFM-Pvalue.
TFM-CUDA needs the NVIDIA CUDA SDK. TFM-CUDA is licensed under GPLv3.
See the Changelog.