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Electronic performance predictions of modern nanotransistors requirenonequilibrium Green's functions including incoherent scattering on phonons aswell as inclusion of random alloy disorder and surface roughness effects. Thesolution of all these effects is numerically extremely expensive and has to bedone on the world's largest supercomputers due to the large memory requirementand the high performance demands on the communication network between thecompute nodes. In this work, it is shown that NEMO5 covers all requiredphysical effects and their combination. Furthermore, it is also shown thatNEMO5's implementation of the algorithm scales very well up to about 178176CPUswith a sustained performance of about 857 TFLOPS. Therefore, NEMO5 is ready tosimulate future nanotransistors.

NEMO5: Achieving High-end Internode Communication for Performance Projection Beyond Moore's Law