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Cmos Compatible Memristor Networks For Brain-Inspired Computing, Can Li
Cmos Compatible Memristor Networks For Brain-Inspired Computing, Can Li
Doctoral Dissertations
In the past decades, the computing capability has shown an exponential growth trend, which is observed as Moore’s law. However, this growth speed is slowing down in recent years mostly because the down-scaled size of transistors is approaching their physical limit. On the other hand, recent advances in software, especially in big data analysis and artificial intelligence, call for a break-through in computing hardware. The memristor, or the resistive switching device, is believed to be a potential building block of the future generation of integrated circuits. The underlying mechanism of this device is different from that of complementary metal-oxide-semiconductor (CMOS) …
Analog Signal Processing Solutions And Design Of Memristor-Cmos Analog Co-Processor For Acceleration Of High-Performance Computing Applications, Nihar Athreyas
Analog Signal Processing Solutions And Design Of Memristor-Cmos Analog Co-Processor For Acceleration Of High-Performance Computing Applications, Nihar Athreyas
Doctoral Dissertations
Emerging applications in the field of machine vision, deep learning and scientific simulation require high computational speed and are run on platforms that are size, weight and power constrained. With the transistor scaling coming to an end, existing digital hardware architectures will not be able to meet these ever-increasing demands. Analog computation with its rich set of primitives and inherent parallel architecture can be faster, more efficient and compact for some of these applications. The major contribution of this work is to show that analog processing can be a viable solution to this problem. This is demonstrated in the three …
Memristive Nanodevices And Arrays: Scaling And Novel Applications, Shuang Pi
Memristive Nanodevices And Arrays: Scaling And Novel Applications, Shuang Pi
Doctoral Dissertations
This dissertation addresses the challenges for device scaling and novel application of nanoscale memristive devices and device arrays through demonstrating the first working sub-10 nm memristor array, the first ultra-dense atomic scale working memristor array and the first high performance nanoscale radiofrequency switch based on memristive devices. Nanoimprint lithography is used to generate the sub-10 nm cross-point memristor array. The imprint mold with sub-10 nm features is generated by using wet chemical method to shrink the larger features on a master mold. The imprinting, pattern transfer and metallization process are closely monitored to enforce optimal conditions for sub-1 nm critical …