Research Highlights

Current Research Highlight

Researching Future​ ​Processors and Supercomputer​s

Dr.​ Tarek​ ​ ​El-Ghazawi​

Computer​ ​engineering​ ​professor​ ​and​ ​IEEE​ ​fellow Dr.​ Tarek​ ​El-Ghazawi​ ​is​ ​working ​to​ ​provide​​ ​ways​ to​ make computer systems​ ​​orders​ ​of​ ​magnitude faster​,  more energy efficient, and easier to use. He does so by​ ​investigating hardware that makes program execution more productive and by designing​ ​future processor​ chips​ ​based on new transformative concepts​​ ​for​ ​tomorrow’s​ ​​computing.

While​ ​some​ ​of​ ​his​ ​research​ ​projects​ ​are​ ​short-term with impacts that can be seen in a few years, several of his projects are​ ​visionary innovations ​that​ ​will​ ​not​ ​be​ ​available​ ​even​ ​five​ ​years from​ ​ now​ due ​to their​ novelty.​ ​

His short-term research focuses on extreme-scale, high-performance computing systems that are pushing the performance levels toward the exascale level, performing at a million trillion calculations per second. This includes methods within hardware assistance for efficiently-performing large computations on such systems by application users. In addition, Dr. El-Ghazawi is looking at the convergence between high-performance computing, cloud computing, big data, and machine intelligence to support the development of a smarter world. Some of this work is funded by the NSF and more notably, Intel through the GW-Intel Parallel Computing Center (GW-IPCC), which is led by Dr. El-Ghazawi.

His long-term research vision is focused on creating new concepts regarding the bases for future processor designs that do not suffer from the same limitations placed on current processors. The traditional digital processor models rely on increased clocking speeds and number of transistors placed on the computer chips as denoted by ​Moore’s Law​ .  However, this approach does not work anymore due to the significant increase in power consumption at high frequencies, which creates the need to design new transformative ideas for future processors that are more power-efficient. Therefore, Dr. El-Ghazawi’s research team is investigating new processor designs based on neuromorphic, analog, and quantum computing to name a few.

In order to achieve orders of magnitude benefits over the current state-of-the-art processors, Dr. El-Ghazawi is collaborating with professor Volker Sorger in developing nanophotonic innovations, where they put their expertise in computer architecture and high-performance Computing within nanophotonics, exploring behaviors of light on the nanometer scale, to engender new breeds of processors. They currently have a 4-year NSF project, working to design a nanophotonic, analog, reconfigurable, optical computer, also known as “ROC.” They also have another project co-funded by the NSF and the Semiconductor Research Corporation (SRC) in which they are building a nanophotonic, neuromorphic computer which is inspired by how the brain works. A third collaboration with the  Air  Force  Office  of  Scientific Research(AFOSR) is focused on using nanophotonic connections for multi-processor chips, also known as multi-core architecture.

Professor El-Ghazawi has had a long history of working with government organizations on research projects of critical national interest in high-performance computing.  He is one of the pioneers in the area of high-performance reconfigurable computing and has established in GW an NSF industry and university Center for High-Performance Reconfigurable Computing(CHREC), which was funded from 2006-2015.  He was one of the early contributors to building supercomputers, known as clusters, from commodity computer parts. Along his former student, Major General Dr. Prachya Charlemwat of Thailand, they built the first computer cluster in GW in 1995. In the early 2000s, Dr. El-Ghazawi and his colleagues have co-authored one of the most important  parallel programming   languages called Unified Parallel C (UPC), which is a modified version of the C programming language for programming supercomputers. 

He​ ​is ​currently the​ ​ director​ ​of ​ the​ ​ Intel​ ​ Parallel​ Computing​ Center​ ​(IPCC) at GW,​ ​ focusing​ on​ ​ advancing​ parallel​ ​programming​ ​for​ ​multi-core​ ​chips,​ ​including​ ​locality-aware​ ​optimizations​ ​and​ ​new​ ​programming paradigms​ ​such​ ​as​ ​PGAS​ ​for​ ​multi-core​ ​chips.​ ​Multi-core​ ​chips​ ​include​ ​the​ ​Xeon​ ​Phi​ ​or​ ​MIC​ ​(Many Integrated​ ​Core​ ​Architecture) such as the Knights​ Landing which ​has​ ​up​ ​to​ ​72​ ​processor​ ​cores,​ ​and​ ​can​ ​reach​ ​3​ ​TFLOPS​ ​(3​ ​trillion calculations per​ second). They​ ​are​ ​used​ ​to​ ​build​ ​some​ ​of​ ​the top​ ​supercomputers​ ​in​ ​the​ ​world​, ​as​ ​well​ ​as​ ​some powerful​ ​servers.

Dr. El-Ghazawi has been lecturing around the world on his topics of expertise, delivering keynote addresses and leading many international technical conferences within his capacity as an IEEE Computer Society Distinguished Visiting Program speaker and a UK Royal Academy of Engineering Distinguished Visiting Professor. His work is known worldwide and has earned him many special recognitions. He was selected an IEEE Fellow and Fulbright senior scholar, and was awarded the Humboldt Research Award, given to 100 scientists from across the world every year, the Alexander Schwarzkopf Prize for technical innovation, and the IEEE Outstanding Service Award.

Dr. El-Ghazawi has been interviewed by major media including the Washington Post, IEEE Spectrum, Sky News, Voice of America, El Nahar TV and Al Jazeerah. 

Past Research Highlights

Dr. Payman in a lab

Keeping the Lights On

Dr. Dehghanian studies power system resilience in the face of extreme weather conditions or cyberattacks that can compromise national security, helping to improve the planning and operations of power systems to create a more resilient and sustainable electric grid and mitigate the consequences of these events.
HPCAT Group

Designing Future Computer Systems

Professor Ahmed Louri and his research groups are working in computer architecture, computing methods that improve performance, power efficiency, and reliability in future computer systems.
Professor Lan with Ph.D. student

Building Frameworks for Future Cybersecurity

Professor Tian Lan and his collaborators are working to construct a cybersecurity framework that combines both deliberate reasoning and reflexive thinking to make cyber systems more intelligent.
Guru Venkataramani

Designing More Efficient and Secure Computers

Professor Guru Prasadh Venkataramani and his research group are working to make computer processors run faster, more power-efficient, and more secure during computing.
Dr. Lang

The ComRAD Project

Professor Roger Lang's research team is using a Microwave Radar/Radiometer Remote Sensing System to measure soil moisture.
David Nagel

Evolutionary and Revolutionary Clean Energy Research

Research professor David Nagel is leading two research teams that are pursuing different approaches to clean energy production.
Dr. Zaghloul in Research Lab

MEMS Sensors Devices in Engineering: Innovating Biological/Chemical Sensors to Detect Diseases

Professor Mona Zaghloul and her collaborators at NIST and GW SEAS are working to make biological and chemical sensors that are markers for Asthma disease and other diseases portable for at-home use and detection.
Magnetic Refrigeration Technology

Magnetic Refrigeration Technology

In the advancement of alternative energy sources, and the critical importance of the global warming, magnetic refrigeration is a promising energy efficient and environmentally friendly technology to replace conventional vapor-compression techniques. Our research aims to design, develop, and implement the first scalable commercially viable compressor-free magnetic refrigerator system.
Volker Sorger

Faculty Research: Meet Professor Volker Sorger

"The computer of the future will be based on light rather than electronics, and it’s projected to be 1,000 times faster than current computers and significantly more energy efficient," claims Professor Volker Sorger of the Department of Electrical and Computer Engineering.