János Végh - RankMe

31 papers Journal 29Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Algorithm for Describing Neuronal Electric Operation. Algorithms János Végh
2022	J	`jnl`	Towards Generalizing the Information Theory for Neural Communication. Entropy János Végh, Ádám József Berki
2021	J	`jnl`	Revising the Classic Computing Paradigm and Its Technological Implementations. Informatics János Végh
2021	J	`jnl`	Which scaling rule applies to large artificial neural networks. Neural Comput. Appl. János Végh
2021	J	`jnl`	Why Learning and Machine Learning Are Different. Adv. Artif. Intell. Mach. Learn. János Végh, Ádám József Berki
2020	J	`jnl`	Do we know the operating principles of our computers better than those of our brain? CoRR János Végh, Ádám József Berki
2020	J	`jnl`	Finally, how many efficiencies the supercomputers have? J. Supercomput. János Végh
2020	J	`jnl`	Finally, how many efficiencies the supercomputers have? And, what do they measure? CoRR János Végh
2020	J	`jnl`	How deep the machine learning can be. CoRR János Végh
2020	J	`jnl`	How to extend the Single-Processor Paradigm to the Explicitly Many-Processor Approach. CoRR János Végh
2020	J	`jnl`	Introducing temporal behavior to computing science. CoRR János Végh
2020	J	`jnl`	On the spatiotemporal behavior in biology-mimicking computing systems. CoRR János Végh, Ádám József Berki
2020	J	`jnl`	Re-evaluating scaling methods for distributed parallel systems. CoRR János Végh
2020	J	`jnl`	Revising the classic computing paradigm and its technological implementations. CoRR János Végh
2020	J	`jnl`	Which scaling rule applies to Artificial Neural Networks. CoRR János Végh
2020	J	`jnl`	von Neumann's missing "Second Draft": what it should contain. CoRR János Végh
2019	J	`jnl`	Classic versus modern computing: analogies with classic versus modern physics. CoRR János Végh
2019	J	`jnl`	The performance wall of parallelized sequential computing: the dark performance and the roofline of performance gain. CoRR János Végh
2018	J	`jnl`	Introducing the explicitly many-processor approach. Parallel Comput. János Végh
2018	J	`jnl`	Limitations of performance of Exascale Applications and supercomputers they are running on. CoRR János Végh
2018	J	`jnl`	Renewing computing paradigms for more efficient parallelization of single-threads. CoRR János Végh
2017	J	`jnl`	How Amdahl's low restricts supercomputer applications and building ever bigger supercomputers. CoRR János Végh
2017	J	`jnl`	Statistical considerations on limitations of supercomputers. CoRR János Végh
2016	J	`jnl`	A configurable accelerator for manycores: the Explicitly Many-Processor Approach. CoRR János Végh
2016	J	`jnl`	A figure of merit for describing the performance of scaling of parallelization. CoRR János Végh, Péter Molnár, József Vásárhelyi
2016	J	`jnl`	A new kind of parallelism and its programming in the Explicitly Many-Processor Approach. CoRR János Végh
2016	J	`jnl`	Can Broken Multicore Hardware be Mended? CoRR János Végh
2016	J	`jnl`	Comments on the parallelization efficiency of the Sunway TaihuLight supercomputer. CoRR János Végh
2014	—	`conf`	A Multicore-aware Von Neumann Programming Model. ICSOFT EA János Végh, Zsolt Bagoly, Ádám Kicsák, Péter Molnár
2014	—	`conf`	An Alternative Implementation for Accelerating Some Functions of Operating System. ICSOFT EA János Végh, Ádám Kicsák, Zsolt Bagoly, Péter Molnár
2004	J	`jnl`	A simple "embedded" reasoning inference engine with application example in the X-ray Photoelectron Spectroscopy. Comput. Phys. Commun. János Végh