Featured Faculty

Thomas Sterling

Thomas Sterling's research interests focus on system architecture for high performance computing for both ground based and autonomous mobile applications. He is developing the MIND processor in memory architecture based on ParalleX, an advanced message-driven split-transaction computing model for scalable low-power fault-tolerant operation.

In addition, he is developing an ultra lightweight supervisor runtime kernel in support of MIND and other fine grain architectures (like CELL) and the Agincourt parallel programming language for high efficiency through intrinsics in support of latency hiding and low overhead synchronization for both conventional and innovative parallel computer architectures.

What is the most exciting part of your research?

Being involved with research that is changing the way computing will be performed in the future. For example, we are currently designing a new processor architecture that merges the processor with memory. This will result in cheaper, more efficient computing that will take up less space.

What are your research goals, both short and long term?

My ultimate goal is to change the world in a positive way. My short term research goal is to provide new and innovative methods in computer architecture that can harness the constantly changing new technologies through scalable architecture systems.

What's the best thing about working with students at CCT?

Coming to LSU, I was delighted with the positive attitude, the energy, and the real curiosity of the students here. I think the students are the best part of the university. Students here also do not let barriers between faculty and student become an obstacle for learning.

What do you like most about working at CCT?

At CCT, the eclectic set of subdisciplines that are interrelated provides an environment of excitement, as well as opportunities to have impact doing new things. CCT also boasts world-class experts across a broad range of disciplines, as well as a strong infrastructure that enables and supports the work here.