Dr. Ali Butt (http://www.cs.vt.edu/user/butt) and Dr. Chao Wang (http://www.ece.vt.edu/faculty/chaowang.php) received new NSF funding for a proposal entitled Pythia: An Application Analysis and Online Modeling Based Prediction Framework for Scalable Resource Management. Dr. Butt describes his research as: “Advanced computing systems for running data-intensive scientific and enterprise applications often boast of different types of resources, e.g., a conventional computer processor running alongside specialized GPUs/FPGAs. Such heterogeneity presents major resource management challenges, especially at large scale. Having a better understanding of the applications behavior on the emerging hardware is key to sustaining these systems. To this end, the project designs and develops Pythia, software that uses application classifiers and simulations to model and predict how workloads would behave on given hardware. This information is then used to better utilize the resources, and achieve scalable and high performance computing systems.”
The grant was featured on the front page of the College Of Engineering web site on October 21, 2014. (http://eng.vt.edu/news/ali-butt-and-chao-wang-receive-nsf-grant-develop-pythia-solve-problems-big-data-processing ). The research was also recognized on the front page of VT News on October 31, 2014).
