Listed below are the projects coordinated by our group.
Main Projects
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This project
- targets technologies necessitating low transistor counts including large-area electronics;
- proposes accurate (error-free) computing techniques for stochastic logic; and
- finite state machines working with bit streams.
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This project
- targets fault-aware reversible circuits;
- proposes a synthesis methodology to implement an 8-bit microprocessor; and
- involves design, fabrication, and test of the processor using the AMS 0.35µ CMOS technology.
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| title:
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Synthesis and Performance Optimization of a Switching Nano-Crossbar Computer
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| acronym:
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NANOxCOMP
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| principal investigator / coordinator:
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Mustafa Altun, Istanbul Technical University
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| partner(s):
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- Dr. Dan Alexandrescu, IROC Techonogies, Grenoble, France
- Dr. Lorena Anghel, TIMA Lab., Grenoble, France
- Prof. Valentina Ciriani, ALOS Lab., University of Milan, Italy.
- Prof. Csaba A. Moritz, Nanoscale Computing Fabrics Lab.,
University of Massachusetts, USA
- Prof. Kaushik Roy, Nanoelectronics Research Lab.,
Purdue University, USA
- Prof. Mircea Stan, High-Performance Low-Power Lab.,
University of Virginia, USA
- Prof. Mehdi B. Tahoori, Dependable Nano-Computing Group,
Karlsruhe Institute of Technology, Germany
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| funding agency & program:
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European Union/European Commission H2020 MCSA
Research and Innovation Staff Exchange Program (RISE)
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| budget:
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724.500 EURO
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| duration:
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2015-2019
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This project
- gathers globally leading research groups working on nanoelectronics and EDA;
- targets variety of emerging technologies including nanowire/nanotube crossbar arrays, magnetic switch-based structures, and crossbar memories; and
- contributes to the construction of emerging computers beyond CMOS by proposing nano-crossbar based computer architectures.
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This project
- targets future and emerging technologies beyond CMOS;
- proposes new computing models based on regular arrays of switches; and
- offers failure resistant nano architectures.
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This project
- targets electronic circuits and cards produced by one of the Europe’s largest household appliances companies Arcelik A.S. and
- proposes reliability prediction techniques using field return data, new accelerated test methodologies, and physics of failure based simulations.
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Small/Supportive Projects
