Indeed, HPC applications that relate to life sciences, would be good candidates for world's top systems. I recommend you shop around from the two references her

Indeed, HPC applications that relate to life sciences, would be good candidates for world's top systems. I recommend you shop around from the two references here, to find your take: https://hpcbios.readthedocs.org/en/latest/HPCBIOS_2012-93.html https://hpcbios.readthedocs.org/en/latest/HPCBIOS_2012-93.ht... # Both schools of the Atlantic are well represented. Now, if I was you, there is something very specific I would be doing: scalability plots of HPC applications from life sciences, for 4^n processors each time (n=0..10+). I would strive for brief benchmarking runs but, even getting a correct run at high scale is already an accomplishment (remember that application lead-in/out time may be serious). If you fancy, combine it with a tool like this: http://hpcugent.github.com/easybuild/ http://hpcugent.github.com/easybuild/ and you may automate metrics collection against multiple 1) compilers 2) MPI stacks 3) dependent libs 4) cpu/gpus/both Man, the best thing in this is you need not be the most expert scientist to get some basic (application-provided-tests-for-validation-purposes) runs but the result can be important reference work for future optimization acts. Just make sure you don't repeat others & document precisely your setup so that future comparisons are well-grounded. This could be a decent Technical Report for others to use! btw. you may shape even more the idea by looking at this: http://www.nvidia.com/object/bio_info_life_sciences.html http://www.nvidia.com/object/bio_info_life_sciences.html Good luck!