3 citations · 3 across the 3 of their papers we have counts for
6 papers · 1 filter
Do we know the operating principles of our computers better than those of our brain?
János Végh, Ádám J. Berki
The increasing interest in understanding the behavior of the biological neural networks, and the increasing utilization of artificial neural networks in different fields and scales…
The performance wall of parallelized sequential computing: the dark performance and the roofline of performance gain
János Végh
The computing performance today is developing mainly using parallelized sequential computing, in many forms. The paper scrutinizes whether the performance of that type of computing…
Limitations of performance of Exascale Applications and supercomputers they are running on
János Végh
The paper highlights that the cooperation of the components of the computing systems receives even more focus in the coming age of exascale computing. It discovers that inherent pe…
Renewing computing paradigms for more efficient parallelization of single-threads
János Végh
Computing is still based on the 70-years old paradigms introduced by von Neumann. The need for more performant, comfortable and safe computing forced to develop and utilize several…
How Amdahl's low restricts supercomputer applications and building ever bigger supercomputers
János Végh
This paper reinterprets Amdahl's law in terms of execution time and applies this simple model to supercomputing. The systematic discussion results in practical formulas enabling to…
A configurable accelerator for manycores: the Explicitly Many-Processor Approach
János Végh
A new approach to designing processor accelerators is presented. A new computing model and a special kind of accelerator with dynamic (end-user programmable) architecture is sugges…