Philip J. Mucci received his Bachelors Degree in Computer Science from The Johns Hopkins University in 1993 and his Masters Degree from the University of Tennessee in 1998 under Dr. Jack Dongarra. During this time, he has worked for numerous HPC-related institutions including Thinking Machines, Lockheed Martin, IBM Power Parallel Division and Los Alamos National Laboratories. For his thesis, he developed a fast and portable communication infrastructure for PVM, the well known parallel computing framework and precursor to MPI. Under funding from the D.o.D. High Performance Computing and Modernization Program, he worked on application optimization, benchmarking, and the development of performance tools. He is the author of several papers and has delivered numerous popular optimization tutorials given at numerous D.o.D. and D.o.E. sites throughout the country. He is the inventor of and technical lead of PAPI, the Performance Application Programming Interface, now in widespread use in HPC compute centers around the world. He is currently an independent consultant specializing in application performance on systems ranging from embedded platforms to massively parallel architectures. Additionally, he holds part time positions as a Research Scientist for the Center for Parallel Computers at the Royal Institute of Technology in Stockholm, Sweden and as a Research Consultant for the Innovative Computing Laboratory at the University of Tennesse. Knoxville led by Dr. Jack Dongarra. His work is funded in part by the National Science Foundation, the Department of Energy and the Department of Defense.