Memristor-based nano-crossbar computing is a revolutionary computing paradigm that does away with the traditional Von Neumann architectural separation of memory and computation units. The computation of Boolean formulas using memristor circuits has been a subject of several recent investigations. Crossbar computing, in general, has also been a topic of active interest, but sneak paths have posed a hurdle in the design of pervasive general-purpose crossbar computing paradigms. In this paper, we demonstrate that sneak paths in nano-crossbar computing can be exploited to design a Boolean-formula evaluation strategy. We demonstrate our approach on a simple Boolean formula and a 1-bit addition circuit. We also conjecture that our nano-crossbar d...
There has been a surge of interest in the effective storage and computation of data using nanoscale ...
Over the last decade, memristive devices have been widely adopted in computing for various conventio...
Boolean matrix multiplication (BMM) is a fundamental problem with applications in graph theory, grou...
The rise of data-intensive computational loads has exposed the processor-memory bottleneck in Von Ne...
Since the fabrication of nanoscale memristors by HP Labs in 2008, there has been a sustained interes...
The advancement of semiconductor device technology over the past decades has enabled the design of i...
We are quickly reaching an impasse to the number of transistors that can be squeezed onto a single c...
The Memristor is a newly synthesized circuit element correlating differences in electrical charge an...
With Moore\u27s law approaching physical limitations of transistor size, researchers have started ex...
The continued scaling of the CMOS device has been largely responsible for the increase in computatio...
International audienceIn the literature, there are few studies describing how to implement Boolean l...
Crossbars of nanoscale memristors are being fabricated to serve as high-density non-volatile memory ...
The demise of Moore\u27s law, breakdown of Dennard Scaling, dark silicon phenomenon, process variati...
Alternatives to CMOS logic circuit implementations are under research for future scaled electronics....
The development of algorithms and circuit designs that exploit devices that have the ability to pers...
There has been a surge of interest in the effective storage and computation of data using nanoscale ...
Over the last decade, memristive devices have been widely adopted in computing for various conventio...
Boolean matrix multiplication (BMM) is a fundamental problem with applications in graph theory, grou...
The rise of data-intensive computational loads has exposed the processor-memory bottleneck in Von Ne...
Since the fabrication of nanoscale memristors by HP Labs in 2008, there has been a sustained interes...
The advancement of semiconductor device technology over the past decades has enabled the design of i...
We are quickly reaching an impasse to the number of transistors that can be squeezed onto a single c...
The Memristor is a newly synthesized circuit element correlating differences in electrical charge an...
With Moore\u27s law approaching physical limitations of transistor size, researchers have started ex...
The continued scaling of the CMOS device has been largely responsible for the increase in computatio...
International audienceIn the literature, there are few studies describing how to implement Boolean l...
Crossbars of nanoscale memristors are being fabricated to serve as high-density non-volatile memory ...
The demise of Moore\u27s law, breakdown of Dennard Scaling, dark silicon phenomenon, process variati...
Alternatives to CMOS logic circuit implementations are under research for future scaled electronics....
The development of algorithms and circuit designs that exploit devices that have the ability to pers...
There has been a surge of interest in the effective storage and computation of data using nanoscale ...
Over the last decade, memristive devices have been widely adopted in computing for various conventio...
Boolean matrix multiplication (BMM) is a fundamental problem with applications in graph theory, grou...