Quantum Engineering Colloquium


1. Dr. Ir. Sten Vollebregt, TU Delft, The Netherlands -- 12-10-2016

2. Msc. Jintao Yu,  TU Delft, The Netherlands -- 12-10-2016


1.    Graphene based Sensors

Graphene is an attractive material for sensors due to its unique properties like high mobility and large surface to volume ratio. In this talk I will discuss the properties of graphene, the application in sensors, how it can be fabricated using a scalable method, and finally I will show some examples of graphene based sensors.

 2.    Skeleton-Based Design and Simulation Flow for Computation-In-Memory Architectures (Best Student Paper Award at NANOARCH 2016):

Memristor-based Computation-in-Memory is one of the emerging architectures proposed to deal with Big Data problems. The design of such architectures requires a radically new automatic design flow because the memristor is a passive device that uses resistance to encode its logic value. This paper proposes a design flow for mapping parallel algorithms on the CIM architecture. Algorithms with similar data flow graphs can be mapped on the crossbar using the same template containing scheduling, placement, and routing information; this template is named skeleton. By configuring such a skeleton with different pre-designed circuits, we can build CIM implementations of the corresponding algorithms in that class. This approach does not only map an algorithm on a memristor crossbar, but also gives an estimation of its performance, area, and energy consumption. It also supports user-defined constraints and parallel SystemC simulation. Experimental results demonstrate the feasibility and the potential of the approach.


Sten Vollebregt obtained both his BSc and MSc form Delft University (cum laude) in 2006 and 2009, respectively. He completed his PhD research in 2014 on the growth and integration of carbon nanotubes (CNT) as vertical interconnects in a monolithic 3D IC TFT proces. Beside being the first to integrate CNT into a 3D IC process, he also studied low temperature growth of CNT and achieved a record-low growth temperature of 350 C. While CNT remain his hobby, his main research now focuses on the wafer-scale growth of graphene and integration of graphene in semiconductor technology. His goal is to develop high-performance sensors which are not possible with conventional bulk materials.

Jintao Yu received the B.S. degree from Tsinghua University, Beijing, China, in 2010, and the M.S. degree from National Digital Switching System Engineering & Technological Research Center (NDSC), Zhengzhou, China, in 2013. He is currently pursuing the Ph.D. degree from Delft University of Technology, Delft, the Netherlands. His current research interests include high-level synthesis and memristor-based computation in memory.


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