Article 535JE A Data-Centric Approach to Extreme-Scale Ab initio Dissipative Quantum Transport Simulations

A Data-Centric Approach to Extreme-Scale Ab initio Dissipative Quantum Transport Simulations

by
Rich Brueckner
from High-Performance Computing News Analysis | insideHPC on (#535JE)
alexnick2-e1588552082792-150x137.jpg

Alexandros Ziogas from ETH Zurich gave this talk at Supercomputing Frontiers Europe. "The computational efficiency of a state of the art ab initio #quantum transport (QT) solver, capable of revealing the coupled electro-thermal properties of atomically-resolved nano-transistors, has been improved by up to two orders of magnitude through a data centric reorganization of the application. The approach yields coarse-and fine-grained data-movement characteristics that can be used for performance and communication modeling, communication-avoidance, and dataflow transformations."

The post A Data-Centric Approach to Extreme-Scale Ab initio Dissipative Quantum Transport Simulations appeared first on insideHPC.

External Content
Source RSS or Atom Feed
Feed Location http://insidehpc.com/feed/
Feed Title High-Performance Computing News Analysis | insideHPC
Feed Link https://insidehpc.com/
Reply 0 comments