Applications of Emerging Memory Technology: Beyond Storage 1st ed. 2020 [Kietas viršelis]

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  • Formatas: Hardback, 229 pages, aukštis x plotis: 235x155 mm, weight: 649 g, 149 Illustrations, color; 17 Illustrations, black and white; XXIII, 229 p. 166 illus., 149 illus. in color., 1 Hardback
  • Serija: Springer Series in Advanced Microelectronics 63
  • Išleidimo metai: 25-Jul-2019
  • Leidėjas: Springer Verlag, Singapore
  • ISBN-10: 9811383782
  • ISBN-13: 9789811383786
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 229 pages, aukštis x plotis: 235x155 mm, weight: 649 g, 149 Illustrations, color; 17 Illustrations, black and white; XXIII, 229 p. 166 illus., 149 illus. in color., 1 Hardback
  • Serija: Springer Series in Advanced Microelectronics 63
  • Išleidimo metai: 25-Jul-2019
  • Leidėjas: Springer Verlag, Singapore
  • ISBN-10: 9811383782
  • ISBN-13: 9789811383786
Kitos knygos pagal šią temą:
The book intends to bring under one roof research work of leading groups from across the globe working on advanced applications of emerging memory technology nanodevices. The applications dealt in the text will be beyond conventional storage application of semiconductor memory devices. The text will deal with material and device physical principles that give rise to interesting characteristics and phenomena in the emerging memory device that can be exploited for a wide variety of applications. Applications covered will include system-centric cases such as – caches, NVSRAM, NVTCAM, Hybrid CMOS-RRAM circuits for: Machine Learning, In-Memory Computing, Hardware Security - RNG/PUF, Biosensing and other misc beyond storage applications. The book is envisioned for multi-purpose use as a textbook in advanced UG/PG courses and a research text for scientists working in the domain.
Towards Spintronics Non-Volatile Caches.- CMOS-OxRAM based Hybrid Non-Volatile SRAM and Flip-Flop: Circuit Implementations.- Phase Change Memory Devices for Physical Unclonable Functions.- Applications of Resistive Switching Memory as Hardware Security Primitive.- Memristive Biosensors for Ultrasensitive Diagnostics and Therapeutics.- Optimized Programming for STT-MTJ Based TCAM for Low Energy Approximate Computing.- Greedy Edge-wise Training of Resistive Switch Arrays.- mMPU - a Real Processing-in-Memory Architecture to combat the von Neumann Bottleneck.- Spintronic Logic-In-Memory Paradigms and Implementations.
Manan Suri leads the NVM and Neuromorphic Research Group at IIT-Delhi. His research interests include Semiconductor Non-Volatile Memory (NVM) Technology and its Advanced Applications (Neuromorphic, AI, Security, Computing, Sensing, etc.) Dr. Suri has been globally recognized as a leading DeepTech Innovator. He was selected by MIT Technology Review as one of the Top 35 Global Innovators Under 35 (MIT-TR 35 Global List) and one of the Top 10 Indian Innovators Under 35 (MIT-TR 35 India List). Dr. Suri received the prestigious IEEE EDS Early Career Award (2018), Young Scientist Award (2017) from The National Academy of Sciences, Young Engineers Award (2016), from The Institution of Engineers, and Laureat du Prix (2014) from the French Nanosciences Foundation. Dr. Suri has filed several patents, authored 60+ publications and delivered 40+ Invited talks. Dr. Suri is a visiting scientist at CNRS France. He serves as an advisor to leading AI/Neuromorphic and NVM hardware companies. He has worked at NXP Semiconductors, Belgium and CEA-LETI, France in past. Dr. Suri received his PhD from INP-Grenoble, France and Masters/Bachelors from Cornell University, USA.