On 07/11/2013 18:12, Chandrakanth R. Terupally wrote: > I'm trying to investigate if Eclipse CLP software would be viable to solve many large CLP problems > my client has. Currently an alternative approach is being used, but its ridden with issues on > multiple fronts. My question specifically is (1) how capable is Eclipse CLP for crunching large > datasets (with schedule tasks in the tune of 0.5M-5M) As others have commented, there is no technology today to schedule this number of tasks to optimality. My estimate is that exact CLP techniques are good for 10s-100s of jobs, approximate hybrids of CLP and local search techniques for 100s-10000s, and beyond that you probably can't do much more than some sorting and local improvement. > (2) how easy is programming it to read input > data from text data files. The second question is as important as the first one as the constraints > are made available by means of text files. This should be easy, there are libraries for cvs and xml reading. For more complex input formats you can use the built-in DCG (definite clause grammar) mechanism. It is also often possible to preprocess data into a form that can be read directly with the ECLiPSe parser. > Also, do you know if its possible or if anyone has tried > accessing the kernel of the software for its algorithms from another software, say e.g. Matlab, > java, etc? We regularly embed ECLiPSe components into Java host applications. A Matlab connection could be built using ECLiPSe's "remote interface protocol" described in http://eclipseclp.org/doc/embedding/embroot.html, but I don't know if anyone has done it. -- JoachimReceived on Fri Nov 08 2013 - 14:57:56 CET
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