Great informatoin in the graph for deciding between disk and SSD, which is important and was not part of my analysis.īefore I get going too deeply I'll try to bring this down to earth. ![]() I get to put on my high-performance computing hat. R most likely has similar memory characteristics. Mathematica uses several GB for just the code.Ħ4-bit MATLAB on 64-bit Windows or OS X will support an 8 TB process limit! (not a typo) Mathematica, MATLAB and Octave will use all the memory you can throw at them but will you actually use that much memory in your particular applications? More memory is usually a good thing for faster response times but 8 GB is alreday a hefty amount of memory. ![]() Note, twice the number of cores does not necessarily get you a full 2x speedup but it usually does run significantly faster (on multicore applications).Īs you have already implied, the flash memory will speedup the virtualization. I would be surprised if R does not run in parallel. Mathematica, MATLAB and Octave will speedup, using all the cores: ![]() These applications will run faster on the quad-core 15" MBP.ġ6 GB faster? Depends on your actual usage. Serious applications require serious resources.
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