An FPGA Multiprocessor System for Undergraduate Study

We present our experiences using multiple soft processor cores on an FPGA to study advanced computer architecture at the undergraduate level. Our system instantiates multiple processor cores on a single FPGA device using the Altera Nios® II soft processor and associated CAD tools. With an easy to use development environment and powerful tools to quickly generate designs, an FPGA platform provides the necessary flexibility to quickly produce a working system. Students are able to easily modify and adapt their designs for a specific application. We demonstrate that multiprocessor systems can be developed, implemented and studied by undergraduate students due to the availability and accessibility of design tools and FPGA development boards. Further, these systems enhance the learning of multiprocessors and aptly compliment advanced computer architecture courses covering topics to include shared memory, synchronization, sequential consistency, and memory coherency

The Megaprocessor as an Educational Tool Making the Abstract Concrete

Computer architecture courses can be difficult for students to engage with and learn from. This is because, unlike most core courses for a computer science student, learning architecture is an abstract process. To address this, universities have implemented methods for teaching course material other than purely descriptive methods. This typically means using simulations to model some aspect of a CPU or FPGA (fieldprogrammable gate array) boards for hands-on experimentation in CPU design. However, there are issues with these tools. Simulations can only cover a few topics well, are prone to being abandoned, and introduce additional abstraction layers. FPGAs, while great for advanced topics and long class projects, are often best suited for senior and graduate level students. Both methods are useful, but neither offers a tangible learning experience, which is what the Megaprocessor can provide. The Megaprocessor is a room sized, general-purpose computer made from discrete components, whose architecture is comprised of primitive logic gates with LEDs on every input and output. The entire circuitry of the Megaprocessor is transparent to the users, with its entire state visible and unabstracted. Because of these properties, it is a great learning mechanism for computer architecture education. The Megaprocessor is a tool for hands on and project-based learning that can be used to span the learning gap between simulations and FPGAs

Graduate Course Descriptions, 2005 Fall

Wright State University graduate course descriptions from Fall 2005

Graduate Course Descriptions, 2006 Winter

Wright State University graduate course descriptions from Winter 2006

Can my chip behave like my brain?

Many decades ago, Carver Mead established the foundations of neuromorphic systems. Neuromorphic systems are analog circuits that emulate biology. These circuits utilize subthreshold dynamics of CMOS transistors to mimic the behavior of neurons. The objective is to not only simulate the human brain, but also to build useful applications using these bio-inspired circuits for ultra low power speech processing, image processing, and robotics. This can be achieved using reconfigurable hardware, like field programmable analog arrays (FPAAs), which enable configuring different applications on a cross platform system. As digital systems saturate in terms of power efficiency, this alternate approach has the potential to improve computational efficiency by approximately eight orders of magnitude. These systems, which include analog, digital, and neuromorphic elements combine to result in a very powerful reconfigurable processing machine.Ph.D

Undergraduate and Graduate Course Descriptions, 2007 Winter

Wright State University undergraduate and graduate course descriptions from Winter 2007

Undergraduate and Graduate Course Descriptions, 2006 Fall

Wright State University undergraduate and graduate course descriptions from Fall 2006

Undergraduate and Graduate Course Descriptions, 2007 Fall

Wright State University undergraduate and graduate course descriptions from Fall 2007

Undergraduate and Graduate Course Descriptions, 2008 Summer

Wright State University undergraduate and graduate course descriptions from Summer 2008