Yeah, it depends. How much memory bandwidth do you use with each? Are the results useful incrementally? What else do you have to do on the machine? If this is t

Yeah, it depends. How much memory bandwidth do you use with each? Are the results useful incrementally? What else do you have to do on the machine? If this is the only task, and you don't care about power use, then using all resources for a quicker time is better. If you care about power use, or have other things running on the machine, then great. Being in place will of course matter with memory bandwidth and available RAM. GPUs are way more parallel, and faster than this too. "clocks about 100x faster than calling std::stable_sort on an i7 Sandy Bridge" http://nvlabs.github.io/moderngpu/mergesort.html http://nvlabs.github.io/moderngpu/mergesort.html