TU Delft is the largest university of technology in the Netherlands, with over 18,000 students of which 14% are international students.

TU Delft was founded in 1842 as the Royal Academy by King Willem II and has been known as the Delft University of Technology (TU Delft) since 1986. TU Delft closely cooperates with many educational and research institutes, both in the Netherlands and abroad. The quality of our research and teaching is renowned. TU Delft has numerous contacts with governments, trade associations, consultancies, industry and small and medium-sized companies. The website ( provides a detailed description of the study programmes offered and the on-going research activities.

The influx of international students at the TU Delft has increased from 1075 in 2002 to 2948 in 2013. The amount of European students has been increasing since 2002, especially the master programmes are interesting for European students; e.g. an increase has taken place from 196 in 2002 to 727 in 2010.

Computer Engineering (CE) (of the faculty of Electrical Engineering, Mathematics and Computer Science) will participate in this project. Computer Engineering Lab brings together faculty, researchers, and students from computer science and electrical engineering to pursue innovations for computer technology used in everyday human activities to highly sophisticated supercomputers. CE performs research in and teaches the engineering discipline of how to determine, develop, and integrate hardware and software to build and implement computing system. The two main driving forces in our research are excellence and relevance to society. The CE lab has always strongly believed that academic research should also have a strong industrial impact. As a consequence, numerous ideas have been implemented in commercially available products. The CE lab has collaborated with worldwide leading companies such as IBM, Intel, Philips, and Thomson. A dozen of start-ups have been initiated by our members and by our alumni in the past 10 years.

CE performs research in a broad range of topics ranging from computer arithmetic and computer architecture to compiler construction and focusing both on embedded systems as well as high performance computing without losing sight of future and emerging technologies. The research is focused on 3 domains with the following challenges:

Dependable Nano Computing (Nano Deco): Technology scaling is posing new architectural, design, and computing challenges. E.g., variability of the manufacturing process will lead to decreased reliability at the transistor level; this necessitates investigating radically new ways of computing that are no longer deterministic in nature. Topics include 3DStacking, Memristors, zero-power computing, etc.

Multi-Many-Core Architectures (MMC): Due to the transistor density (more Moore) and the ever-increasing demand for improved functionality (more than Moore), systems become increasingly complex. In order to address bottlenecks such as memory, power, and frequency, multi-core architectures have been introduced. Scalability of such architectures adopting the Von-Neumann paradigm is limited, so other computing paradigms need to be explored. One way to utilize the abundance of transistors is to build reconfigurable fabrics on a chip in order to add (hardware) flexibility and improve performance through parallel processing. Topics include deterministic multithreaded execution, heterogeneous processor architectures, etc.

Electronic System Level design (ESL): Due to the above-mentioned increased System-on-Chip (SoC) complexity where adaptivity, reconfigurability and composability are viewed as key system features, there is a rising need for improved support of the design process that goes beyond, e.g., mere RTL design. HW/SW co-design, partitioning, and mapping on multiprocessor System-on-Chips (MPSoCs) as well as Application Specific Instruction Set Processor (ASIP) design are new design approaches and technologies that allow system developers to explore in a time and cost efficient way what the impact is of certain architectural choices. Topics include workload characterization, hardware/software co-design, reconfigurable VLIW processor architectures, etc. The Computer Engineering Laboratory contributes to several master programmes, namely the Computer Engineering Master and the Embedded Systems Master. In those master programs, we are mainly responsible for all computer architecture courses ranging from advanced multicore architectures, computer arithmetic to reconfigurable computing design.

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