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ORCIDJános Végh
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2020 – today
- 2022
[j7]János Végh
, Ádám József Berki:
Towards Generalizing the Information Theory for Neural Communication. Entropy 24(8): 1086 (2022)- 2021
- [j6]János Végh, Ádám József Berki:
Why Learning and Machine Learning Are Different. Adv. Artif. Intell. Mach. Learn. 1(2): 131-148 (2021) - [j5]János Végh:
Revising the Classic Computing Paradigm and Its Technological Implementations. Informatics 8(4): 71 (2021) - [j4]János Végh:
Which scaling rule applies to large artificial neural networks. Neural Comput. Appl. 33(24): 16847-16864 (2021) - 2020
- [j3]János Végh:
Finally, how many efficiencies the supercomputers have? J. Supercomput. 76(12): 9430-9455 (2020) - [i21]János Végh:
Finally, how many efficiencies the supercomputers have? And, what do they measure? CoRR abs/2001.01266 (2020) - [i20]János Végh:
Re-evaluating scaling methods for distributed parallel systems. CoRR abs/2002.08316 (2020) - [i19]János Végh:
How deep the machine learning can be. CoRR abs/2005.00872 (2020) - [i18]János Végh, Ádám József Berki:
Do we know the operating principles of our computers better than those of our brain? CoRR abs/2005.05061 (2020) - [i17]János Végh:
Which scaling rule applies to Artificial Neural Networks. CoRR abs/2005.08942 (2020) - [i16]János Végh:
How to extend the Single-Processor Paradigm to the Explicitly Many-Processor Approach. CoRR abs/2006.00532 (2020) - [i15]János Végh:
Introducing temporal behavior to computing science. CoRR abs/2006.01128 (2020) - [i14]János Végh, Ádám József Berki:
On the spatiotemporal behavior in biology-mimicking computing systems. CoRR abs/2009.08841 (2020) - [i13]János Végh:
von Neumann's missing "Second Draft": what it should contain. CoRR abs/2011.04727 (2020) - [i12]János Végh:
Revising the classic computing paradigm and its technological implementations. CoRR abs/2011.08455 (2020)
2010 – 2019
- 2019
- [i11]János Végh:
The performance wall of parallelized sequential computing: the dark performance and the roofline of performance gain. CoRR abs/1908.02280 (2019) - [i10]János Végh:
Classic versus modern computing: analogies with classic versus modern physics. CoRR abs/1908.02651 (2019) - 2018
- [j2]János Végh:
Introducing the explicitly many-processor approach. Parallel Comput. 75: 28-40 (2018) - [i9]János Végh:
Renewing computing paradigms for more efficient parallelization of single-threads. CoRR abs/1803.04784 (2018) - [i8]János Végh:
Limitations of performance of Exascale Applications and supercomputers they are running on. CoRR abs/1808.05338 (2018) - 2017
- [i7]János Végh:
How Amdahl's low restricts supercomputer applications and building ever bigger supercomputers. CoRR abs/1708.01462 (2017) - [i6]János Végh:
Statistical considerations on limitations of supercomputers. CoRR abs/1710.08951 (2017) - 2016
- [i5]János Végh, Péter Molnár, József Vásárhelyi:
A figure of merit for describing the performance of scaling of parallelization. CoRR abs/1606.02686 (2016) - [i4]János Végh:
A configurable accelerator for manycores: the Explicitly Many-Processor Approach. CoRR abs/1607.01643 (2016) - [i3]János Végh:
Comments on the parallelization efficiency of the Sunway TaihuLight supercomputer. CoRR abs/1608.00249 (2016) - [i2]János Végh:
A new kind of parallelism and its programming in the Explicitly Many-Processor Approach. CoRR abs/1608.07155 (2016) - [i1]János Végh:
Can Broken Multicore Hardware be Mended? CoRR abs/1611.07511 (2016) - 2014
- [c2]János Végh, Zsolt Bagoly, Ádám Kicsák, Péter Molnár:
A Multicore-aware Von Neumann Programming Model. ICSOFT EA 2014: 150-155 - [c1]János Végh, Ádám Kicsák, Zsolt Bagoly, Péter Molnár:
An Alternative Implementation for Accelerating Some Functions of Operating System. ICSOFT EA 2014: 494-499
2000 – 2009
- 2004
- [j1]János Végh:
A simple "embedded" reasoning inference engine with application example in the X-ray Photoelectron Spectroscopy. Comput. Phys. Commun. 160(1): 8-22 (2004)
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