most citedHow deep the machine learning can be

4 citations · 6 across the 3 of their papers we have counts for

collaborators

6 papers

cs.AR2020

Revising the classic computing paradigm and its technological implementations

János Végh

Today's computing is told to be based on the classic paradigm, proposed by von Neumann, a three-quarter century ago. However, that paradigm was justified (for the timing relations…

cs.AR2020

von Neumann's missing "Second Draft": what it should contain

János Végh

Computing science is based on a computing paradigm that is not valid anymore for today's technological conditions. The reason is that the transmission time even inside the processo…

cs.DC2020

Introducing temporal behavior to computing science

János Végh

The abstraction introduced by von Neumann correctly reflected the state of the art 70 years ago. Although it omitted data transmission time between components of the computer, it s…

cs.AR20202 cited

How to extend the Single-Processor Paradigm to the Explicitly Many-Processor Approach

János Végh

The computing paradigm invented for processing a small amount of data on a single segregated processor cannot meet the challenges set by the present-day computing demands. The pape…

cs.DC20204 cited

How deep the machine learning can be

János Végh

Today we live in the age of artificial intelligence and machine learning; from small startups to HW or SW giants, everyone wants to build machine intelligence chips, applications.…

cs.PF2020

Re-evaluating scaling methods for distributed parallel systems

János Végh

The paper explains why Amdahl's Law shall be interpreted specifically for distributed parallel systems and why it generated so many debates, discussions, and abuses. We set up a ge…