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János Végh

Orcid: 0000-0002-3247-7810

According to our database1, János Végh authored at least 29 papers between 2004 and 2022.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Links

On csauthors.net:

Bibliography

2022
Towards Generalizing the Information Theory for Neural Communication.
[BibTeX]
[DOI]
János Végh
,
Ádám József Berki
Entropy, 2022

2021
Which scaling rule applies to large artificial neural networks.
[BibTeX]
[DOI]
János Végh
Neural Comput. Appl., 2021

Revising the Classic Computing Paradigm and Its Technological Implementations.
[BibTeX]
[DOI]
János Végh
Informatics, 2021

Why Learning and Machine Learning Are Different.
[BibTeX]
[DOI]
János Végh
,
Ádám József Berki
Adv. Artif. Intell. Mach. Learn., 2021

2020
Finally, how many efficiencies the supercomputers have?
[BibTeX]
[DOI]
János Végh
J. Supercomput., 2020

von Neumann's missing "Second Draft": what it should contain.
[BibTeX]
[DOI]
János Végh
CoRR, 2020

On the spatiotemporal behavior in biology-mimicking computing systems.
[BibTeX]
[DOI]
János Végh
,
Ádám József Berki
CoRR, 2020

Introducing temporal behavior to computing science.
[BibTeX]
[DOI]
János Végh
CoRR, 2020

How to extend the Single-Processor Paradigm to the Explicitly Many-Processor Approach.
[BibTeX]
[DOI]
János Végh
CoRR, 2020

Which scaling rule applies to Artificial Neural Networks.
[BibTeX]
[DOI]
János Végh
CoRR, 2020

Do we know the operating principles of our computers better than those of our brain?
[BibTeX]
[DOI]
János Végh
,
Ádám József Berki
CoRR, 2020

How deep the machine learning can be.
[BibTeX]
[DOI]
János Végh
CoRR, 2020

Re-evaluating scaling methods for distributed parallel systems.
[BibTeX]
[DOI]
János Végh
CoRR, 2020

Finally, how many efficiencies the supercomputers have? And, what do they measure?
[BibTeX]
[DOI]
János Végh
CoRR, 2020

2019
Classic versus modern computing: analogies with classic versus modern physics.
[BibTeX]
[DOI]
János Végh
CoRR, 2019

The performance wall of parallelized sequential computing: the dark performance and the roofline of performance gain.
[BibTeX]
[DOI]
János Végh
CoRR, 2019

2018
Introducing the explicitly many-processor approach.
[BibTeX]
[DOI]
János Végh
Parallel Comput., 2018

Limitations of performance of Exascale Applications and supercomputers they are running on.
[BibTeX]
[DOI]
János Végh
CoRR, 2018

Renewing computing paradigms for more efficient parallelization of single-threads.
[BibTeX]
[DOI]
János Végh
CoRR, 2018

2017
Statistical considerations on limitations of supercomputers.
[BibTeX]
[DOI]
János Végh
CoRR, 2017

How Amdahl's low restricts supercomputer applications and building ever bigger supercomputers.
[BibTeX]
[DOI]
János Végh
CoRR, 2017

2016
A figure of merit for describing the performance of scaling of parallelization.
[BibTeX]
[DOI]
János Végh
,
Péter Molnár
,
József Vásárhelyi
CoRR, 2016

Can Broken Multicore Hardware be Mended?
[BibTeX]
[DOI]
János Végh
CoRR, 2016

A new kind of parallelism and its programming in the Explicitly Many-Processor Approach.
[BibTeX]
[DOI]
János Végh
CoRR, 2016

Comments on the parallelization efficiency of the Sunway TaihuLight supercomputer.
[BibTeX]
[DOI]
János Végh
CoRR, 2016

A configurable accelerator for manycores: the Explicitly Many-Processor Approach.
[BibTeX]
[DOI]
János Végh
CoRR, 2016

2014
An Alternative Implementation for Accelerating Some Functions of Operating System.
[BibTeX]
[DOI]
János Végh
,
Ádám Kicsák
,
Zsolt Bagoly
,
Péter Molnár
Proceedings of the ICSOFT-EA 2014, 2014

A Multicore-aware Von Neumann Programming Model.
[BibTeX]
[DOI]
János Végh
,
Zsolt Bagoly
,
Ádám Kicsák
,
Péter Molnár
Proceedings of the ICSOFT-EA 2014, 2014

2004
A simple "embedded" reasoning inference engine with application example in the X-ray Photoelectron Spectroscopy.
[BibTeX]
[DOI]
János Végh
Comput. Phys. Commun., 2004


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