Pascal Andreas Meinerzhagen

This person has left EPFL

About
Privacy
Disclaimer

Graph Chatbot

Related publications (24)

Page 2 of 2

Replica Technique for Adaptive Refresh Timing of Gain-Cell-Embedded DRAM

Andreas Peter Burg, Adam Shmuel Teman, Pascal Andreas Meinerzhagen, Robert Giterman

Gain cells have recently been shown to be a viable alternative to static random access memory in low-power applications due to their low leakage currents and high density. The primary component of power consumption in these arrays is the dynamic power cons ...

Institute of Electrical and Electronics Engineers2014

Synthesis strategies for sub-VT systems

Andreas Peter Burg, Pascal Andreas Meinerzhagen, Oskar Andersson

Various synthesis strategies relying on conventional standard-cell libraries (SCLs) are evaluated in order to minimize the energy dissipation per operation in sub-threshold (sub-VT) systems. First, two sub-V T analysis methods are reviewed, both of which a ...

IEEE2011

TamaRISC-CS: An Ultra-Low-Power Application-Specific Processor for Compressed Sensing

David Atienza Alonso, Andreas Peter Burg, Pascal Andreas Meinerzhagen, Jeremy Hugues-Felix Constantin, Ahmed Yasir Dogan, Oskar Andersson

Compressed sensing (CS) is a universal technique for the compression of sparse signals. CS has been widely used in sensing platforms where portable, autonomous devices have to operate for long periods of time with limited energy resources. Therefore, an ul ...

2012

A Sub-VT 2T Gain-Cell Memory for Biomedical Applications

Andreas Peter Burg, Adam Shmuel Teman, Pascal Andreas Meinerzhagen

All state-of-the-art subthreshold (sub-VT) memories are based on static bitcells, while the feasibility and limitations of dynamic bitcells operated in the sub-VT regime have not been studied yet. For the first time ever, we examine the sub-VT operation of ...

2012