3 ms·
Unfortunately not. The information extraction aspect involves heavy duty math, where the more computational resources you can throw at the problem the better. W
by mikebennett 13y ago
Unfortunately not. The information extraction aspect involves heavy duty math, where the more computational resources you can throw at the problem the better. We have a bunch of servers where all the cores on the CPUs are running at max 24 hours a day. At the moment, we're not using GPUs for our matrix math (the matrices tend to be very large). For our matrix math I am a fan of the fast ojAlgo math library http://ojalgo.org http://ojalgo.org
- fixxer 13y agoPure Java for matrix math? Seems like that would be something to avoid. Have you benchmarked it?
- mikebennett 13y agoI used the bench marks from http://code.google.com/p/java-matrix-benchmark http://code.google.com/p/java-matrix-benchmark Decision came down to speed is reasonable, library has some other math functions I need, and time taken to build.