Optimizing the data movement in quantum transport simulations via data-centric parallel programming

Ziogas, Alexandros Nikolaos; Ben-Nun, Tal; Fernández, Guillermo Indalecio; Schneider, Timo; Luisier, Mathieu; Hoefler, Torsten

doi:10.1145/3295500.3356200

Cited by 4 publications

(3 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A critical view on using NEGF for nanoelectronic devices is given in [48]. Some representative examples of NEGF simulation tools are, e.g., Omen [49], NEMO5 [50], NESS [51], Atomistix [52], NanoTCAD ViDES [53], and Victory Atomistic [54].…”

Section: Nonequilibrium Green's Functions (Keldysh Formalism)mentioning

confidence: 99%

Computational perspective on recent advances in quantum electronics: from electron quantum optics to nanoelectronic devices and systems

Weinbub

Kosik

2022

J. Phys.: Condens. Matter

View full text Add to dashboard Cite

Quantum electronics has significantly evolved over the last decades. Where initially the clear focus was on light-matter interactions, nowadays approaches based on the electron's wave nature have solidified themselves as additional focus areas. This development is largely driven by continuous advances in electron quantum optics, electron based quantum information processing, electronic materials, and nanoelectronic devices and systems. The pace of research in all of these areas is astonishing and is accompanied by substantial theoretical and experimental advancements. What is particularly exciting is the fact that the computational methods, together with broadly available large-scale computing resources, have matured to such a degree so as to be essential enabling technologies themselves. These methods allow to predict, analyze, and design not only individual physical processes but also entire devices and systems, which would otherwise be very challenging or sometimes even out of reach with conventional experimental capabilities. This review is thus a testament to the increasingly towering importance of computational methods for advancing the expanding field of quantum electronics. To that end, computational aspects of a representative selection of recent research in quantum electronics are highlighted where a major focus is on the electron's wave nature. By categorizing the research into concrete technological applications, researchers and engineers will be able to use this review as a source for inspiration regarding problem-specific computational methods.

show abstract

Section: Nonequilibrium Green's Functions (Keldysh Formalism)mentioning

confidence: 99%

Computational perspective on recent advances in quantum electronics: from electron quantum optics to nanoelectronic devices and systems

Weinbub

Kosik

2022

J. Phys.: Condens. Matter

View full text Add to dashboard Cite

show abstract

“…Using fission and data layout transformations, we reshape the job into a stencillike strided-batched GEMM operation, where the DaCe implementation yields up to 4.8× speedup over cuBLAS. The full implementation details and transformations are described by Ziogas et al [30]. Below, we highlight the innovations that led to the most significant performance improvements.…”

Section: Innovations Realizedmentioning

confidence: 99%

“…• Load Balancing: Similar to OMEN, we divide work among electrons and phonons unevenly, so as to reduce imbalance. [30]. Below, we highlight the innovations that led to the most significant performance improvements.…”

Section: Innovations Realizedmentioning

confidence: 99%

A data-centric approach to extreme-scale ab initio dissipative quantum transport simulations

Ziogas

Ben-Nun

Fernández

et al. 2019

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

Self Cite

View full text Add to dashboard Cite

The computational efficiency of a state of the art ab initio quantum transport (QT) solver, capable of revealing the coupled electrothermal 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 coarseand fine-grained data-movement characteristics that can be used for performance and communication modeling, communicationavoidance, and dataflow transformations. The resulting code has been tuned for two top-6 hybrid supercomputers, reaching a sustained 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 restructured 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.

show abstract

A Data-Centric Approach for Efficient and Scalable CFD Implementation on Multi-GPUs Clusters

Li,

Deng,

Dai

et al. 2023

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

Optimizing the data movement in quantum transport simulations via data-centric parallel programming

Cited by 4 publications

References 20 publications

Computational perspective on recent advances in quantum electronics: from electron quantum optics to nanoelectronic devices and systems

Computational perspective on recent advances in quantum electronics: from electron quantum optics to nanoelectronic devices and systems

A data-centric approach to extreme-scale ab initio dissipative quantum transport simulations

A Data-Centric Approach for Efficient and Scalable CFD Implementation on Multi-GPUs Clusters

Contact Info

Product

Resources

About