Computation of electron quantum transport in graphene nanoribbons using GPU

Abstract

The performance potential for simulating quantum electron transport on graphical processing units (GPUs) is studied. Using graphene ribbons of realistic sizes as an example it is shown that GPUs provide significant speed-ups in comparison to central processing units as the transverse dimension of the ribbon grows. The recursive Green's function algorithm is employed and implementation details on GPUs are discussed. Calculated conductances were found to accumulate significant numerical error due to single-precision floating-point arithmetic at energies close to the charge neutrality point of the graphene.

published version with corrections

References in corpus (5)

• Conductance Quantization in Graphene Nanoribbons
• Simulating spin models on GPU
• Origin of conductance quantization in disordered graphene ribbons
• Nearly Perfect Single-Channel Conduction in Disordered Armchair Nanoribbons
• Toward large-scale Hybrid Monte Carlo simulations of the Hubbard model on graphics processing units

Cited by in corpus (2)

• Accelerated molecular dynamics force evaluation on graphics processing units for thermal conductivity calculations
• Computational Physics on Graphics Processing Units