Dr. Carrington is the Director of the Performance Modeling and Characterization (PMaC) lab and an expert in High Performance Computing. This work has resulted in over 40 publication in HPC benchmarking, workload analysis, application performance modeling, analysis of accelerators (i.e. FPGAs and GPUs) for scientific workloads, tools in performance analysis (i.e. processor and network simulators), and energy-efficient computing. At UCSD, she is the PI for Institute for Sustained Performance, Energy, and Resilience (SUPER) DoE SciDAC-3 and lead for the energy efficiency thrust for the institute. She has presented at numerous invited talks, member of various panels and committees, and an active member of DoD HPCMP Performance team involved in their annual HPC system procurement for past 10 years. Visit Laura's homepage.

Michael Laurenzano is a computational scientist in the PMaC Laboratory. His research interests are in binary/program analysis, benchmarking and performance/energy optimization. Michael received his Bachelors Degree in Math and Computer Science from the University of San Diego in 2004, and Masters Degree in Computer Science and Engineering from UCSD in 2007. Visit Michael's homepage.

Ananta Tiwari is a computational scientist in the PMaC Laboratory. His research interests are in performance and energy modeling, particularly as they apply to tuning and auto-tuning. Ananta received his Ph.D. in Computer Science from the University of Maryland, College Park in 2011. Visit Ananta's homepage.