Monte recently joined the Research Computing group at University of Colorado from the National Renewable Energy Lab where he was a postdoc in the Computational Science group. His expertise are in high performance computing and parameter optimization. Monte received his PhD in Computer Science from Colorado State University.
While it may seem that only large projects need or benefit from project management, even the smallest one-person efforts can benefit through exploitation of chosen project management practices. This talk will explore examples of professionally project-managed large scale HPC software projects for their successes and failures and identify project management elements appropriate for application to any size effort.
Speaker Description:
Jessica A. Popp, PMP, has been head of Project Management Office, Whamcloud, a company doing development for the Lustre filesystem. She now works for Intel.
Authors: Herb Grote, Xiangbao Jing, Dan Schaffer, Joe Wakefield
Speaker Description:
Dan Schaffer is a Senior Software Engineer employed by the CSU Cooperative Institute for Research in the Atmosphere. He is deployed at the Information Systems Branch of NOAA ESRL. He is currently working on two extended tasks for the National Weather Service AWIPS project; Hazard Services and External Collaboration. Dan received his Bachelor's degree from UC Berkeley in Math and Computer Science and a Master's degree in Meteorology at the University of Maryland, College Park. Previously he parallelized weather and ocean models at NASA Goddard and NOAA Boulder and developed software used in forecast verification.
Jim Galarowicz has been involved with high performance computer (HPC) systems software development at Sperry Univac (compiler development), Cray Research, Inc. (compiler development and performance tool development), Silicon Graphics (debugger and performance tool development), and more recently at The Krell Institute. Currently, he is leading the Open|SpeedShop performance tools project and is primarily responsible for managing the project, design and development of portions of the Open|SpeedShop performance tool, writing project documentation and interfacing with project stakeholders. Prior to the current assignment, he managed the Silicon Graphics software development tools group between 1999 and 2006.
Dr. Martin Schulz is a Computer Scientist at the Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL). He earned his Doctorate in Computer Science in 2001 from the Technische Universität München (Munich, Germany) and also holds a Master of Science in Computer Science from the University of Illinois at Urbana Champaign. He has published over 140 peer-reviewed papers. He is the PI for the ASC/CCE project on Open|SpeedShop, and the LLNL PI for the OASCR PetaTools project on "Building a Community Tool Infrastructure around Open|SpeedShop". He is further involved in the ASCR Co-Design Centers CESAR and ExMatEx.
Authors: Chris A. Mattmann, Tom Painter, Duane Waliser, Cameron Goodale, Paul Ramirez, Andrew Hart, Paul Zimdars, Dan Crichton
The National Aeronautics and Space Administration's (NASA) Center response to the 2013 U.S. National Climate Assessment involved funding various projects including the development of data products for climatologies, tool support for performing model evaluations and other activities, and the application of data products to transition from science research into decision making for policy makers wanting to make use of the data.
Speaker Description:
Chris Mattmann has a wealth of experience in software design, and in the construction of large-scale data-intensive systems. His work has infected a broad set of communities, ranging from helping NASA unlock data from its next generation of earth science system satellites, to assisting graduate students at the University of Southern California (his Alma mater) in the study of software architecture, all the way to helping industry and open source as a member of the Apache Software Foundation. When he's not busy being busy, he's spending time with his lovely wife and son braving the mean streets of Southern California.
Chunking reorders gridded data to support efficient access along multiple axes. For example, rechunking a dataset that stores data with time as the most slowly-varying dimension can support relatively efficient access of two-dimensional spatial slices while significantly speeding up time series retrieval. Experience with rechunking large datasets has led to some insights for use in tools, such as the netCDF nccopy utility for compressing and rechunking data. Benchmark results show results of rechunking real data.
Speaker Description:
Russ Rew has been engineering software since software engineers were called computer programmers, beginning at Ball Brothers as a student assistant, moving to NCAR (while obtaining a in computer science Ph.D.), and finally ending up at Unidata. At NCAR, he helped procure the first Unix systems, gained lot of experience with reusable software, and struggled with pretty big data. At Unidata, he led development of event-oriented client-server software for Unidata's Internet Data Distribution system; the netCDF data model, format, and libraries; and netCDF-4 on an HDF5 storage layer. He continues to develop and support netCDF, and display it (in all caps, unfortunately) on his license plate.
Authors: Sylwester Arabas, Dorota Jarecka, Anna Jaruga, Maciej Fijałkowski
Speaker Description:
I'm a PhD student at the Faculty of Physics, University of Warsaw, Poland where I study aerosol, cloud, and precipitation microphysics, mostly by means of numerical modelling. I'm a software developer, coding mostly for free/libre/open-source projects in scientific computing and data analysis. Besides the projects developed at work I'm contributing since 2009 to the GNU Data Language project. This year I'm co-organising the "FOSS for Scientists" devroom at the FOSDEM conference.
Authors: Greg Wilson, D. A. Aruliah, C. Titus Brown, Neil P. Chue Hong, Matt Davis, Richard T. Guy, Steven H. D. Haddock, Katy Huff, Ian M. Mitchell, Mark Plumbley, Ben Waugh, Ethan P. White, Paul Wilson
Speaker Description:
Titus Brown received his BA in Math from Reed College in 1997, and his PhD in Developmental Biology at Caltech in 2006. He has worked in digital evolution, climate measurements, molecular and evolutionary developmental biology, and both regulatory genomics and transcriptomics. His current focus is on using novel computer science data structures and algorithms to explore big sequencing data sets from metagenomics and transcriptomics.
Ian Truslove is a software engineer at the National Snow and Ice Data Center in Boulder, CO, working on services-based web applications. He has worked in various software roles for over twelve years, and has been learning, working with, contributing to, leading and coaching agile teams with agile development practices for the last seven. Contact Ian at @iantruslove.
Yaroslav O. Halchenko is a post-doctoral researcher at Dartmouth College. He got a Ph.D. degree in Computer Science and currently working on in neuroimaging domain: from data analysis methods (see http://www.pymvpa.org) to the development of a software platform for neuroscience research (see http://neuro.debian.net). He got an official status of a Debian developer in 2006 and has been actively involved in the project since then concentrating on the problems of the scientific software deployments, while not forgetting day-to-day needs (maintaining http://www.fail2ban.org project at the moment). He got 3 kids, 2 cats, and 1 wife.
