题目: Decoupled Execution Paradigm for Data-Intensive High Performance Computing
时间:1月8号上午10点
地点:东五楼210

　　Abtract: High performance computing (HPC) applications in critical areas of science and technology tend to be more and more data intensive. The input/output has become a vital performance bottleneck of modern HPC practice. Conventional HPC execution paradigms, however, are computing-centric for computation intensive applications. They can have inherent limitations in addressing the critical I/O bottleneck issues of HPC. In this talk, I will introduce our proposed decoupled execution paradigm (DEP) to address the challenging I/O bottleneck issues. DEP is the first paradigm enabling users to identify and handle data-intensive operations separately. It can reduce costly data movement and is better than the existing execution models for data-intensive applications. Its data-centric architecture could have an impact in future HPC systems, programming models, and algorithms design and development. I will present our initial findings in this talk and discuss challenges and possible solutions.
　　Bio: Yong Chen, PhD (2009), is an Assistant Professor and Director of the Data-Intensive Scalable Computing Laboratory in the Computer Science Department of Texas Tech University. He is also the Associate Director of the Cloud and Autonomic Computing center at Texas Tech University. His research interests include parallel and distributed computing, high-performance computing, and Cloud computing with a focus on building scalable computing systems for data-intensive applications. He has published over 60 research papers in international journals and conferences, and received several awards for his research activities including the Texas Tech University Faculty Recognition Award and Research Award, IEEE TCSC (Technical Committee on Scalable Computing) Young Achievers Award, the Powe Junior Faculty Award, Best Paper Award and Best Paper finalist of several conferences including the ACM/IEEE Supercomputing Conference. His research has been funded by the NSF, Department of Energy, Oak Ridge Associated University, Dell Inc., Jabil/Stack Velocity, Nimboxx, and NVidia. He has also served as editors, chairs, and program committee members for numerous international journals, conferences, and workshops. More information about him can be found at http://www.myweb.ttu.edu/yonchen/.