• Home
• People
• Jobs
• Visit
• Thesis Topics
• Publications
• Conference Rankings
• Research
• Bcast
• Teaching
• Contact

SPONSORS

COLLABORATIONS

The documents distributed by this server have been provided by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Publications of SPCL

A. Nikolaos Ziogas, T. Ben-Nun, G. Indalecio Fernández, T. Schneider, M. Luisier, T. Hoefler:
	A Data-Centric Approach to Extreme-Scale Ab initio Dissipative Quantum Transport Simulations (In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC19), Nov. 2019) Won ACM Gordon Bell Prize Publisher Reference Abstract 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 cen- tric 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 resulting code has been tuned for two top-6 hybrid supercomputers, reaching a sus- tained performance of 85.45 Pflop/s on 4,560 nodes of Summit (42.55% of the peak) in double precision, and 90.89 Pflop/s in mixed precision. These computational achievements enable the restruc- tured QT simulator to treat realistic nanoelectronic devices made of more than 10,000 atoms within a 14× shorter duration than the original code needs to handle a system with 1,000 atoms, on the same number of CPUs/GPUs and with the same physical accuracy. Documents download article: access preprint on arxiv: download slides: Recorded talk (best effort)
	BibTeX
@inproceedings{,   author={Alexandros Nikolaos Ziogas and Tal Ben-Nun and Guillermo Indalecio Fernández and Timo Schneider and Mathieu Luisier and Torsten Hoefler},   title={{A Data-Centric Approach to Extreme-Scale Ab initio Dissipative Quantum Transport Simulations}},   year={2019},   month={11},   booktitle={Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC19)},   doi={10.1145/3295500.3357156}, }