This hands-on tutorial introduces you to the parallel performance analysis tools Vampir and Scalasca and how they can be effectively used together.
There will be four presentation parts plus allotted time for individual work with assistance from the presenters.
Speaker Description:
Dr. Markus Geimer is a senior scientist at the Jülich Supercomputing Centre of Forschungszentrum Jülich GmbH, Germany. He is the lead developer of Scalasca's parallel trace analysis component and also involved in the design and development of the Open Trace Format 2 (OTF2) and Score-P.
Dr. Andreas Knüpfer is a senior researcher at the Center for Information Services and HPC (ZIH) at TU Dresden, Germany and involved in HPC performance analysis tools for a long time including VampirTrace, the Open Trace Formats 1 and 2 (OTF and OTF2), Score-P, and Vampir.
Markus Geimer and Andreas Knüpfer have a long history of joint tutorials about HPC performance analysis tools.
William Dai received his Ph.D. degree in physics in University of Minnesota in 1993. After that he joined Laboratory for Computational Science and Engineering as a research scientist in the University, focusing on numerical methods for hydrodynamics, magnetohydrodynamics, radiation, and diffusion. William joined the Los Alamos National Laboratory in 2001 as a staff member in High Performance Computing Division. In 2002 he became a team leader and project leader responsible for software development and their integration to several multi-physics codes. Currently, William is a scientist in Computer, Computational, and Statistical Sciences Division, and he is one of the key developers of a large-scale multi-physics code, responsible for new physics capabilities, numerical solvers, and modernization of the code on future computer platforms.
Authors: John K. Williams, David Ahijevych, Gary Blackburn, Jason Craig and Greg Meymaris
Speaker Description:
Dr. John Williams is a Project Scientist II in NCAR’s Research Applications Laboratory, where he has 16 years of experience in researching, developing and deploying aviation weather algorithms, several of which have utilized statistical learning techniques. He holds an M.S. in Applied Mathematics and a Ph.D. in Mathematics from the University of Colorado. As a member and chair of the American Meteorological Society’s Committee on Artificial Intelligence Applications to Environmental Science, Dr. Williams organized several conferences, workshops, forecasting contests and an educational forum. He was also on the organizing committee for the Conference on Intelligent Data Understanding hosted at NCAR last fall.
Open|SpeedShop is an open source multi platform Linux performance tool which is targeted to support performance analysis of applications running on both single node and large scale IA64, IA32, EM64T, AMD64, IBM Power PC, Cray, and Blue Gene platforms. It supports comprehensive performance analysis for sequential, multi-threaded, and MPI applications with no need to recompile the user’s application. There are four user interface options: batch, command line interface (CLI), graphical user interface (GUI), and a Python scripting API. Open|SpeedShop is explicitly designed with usability in
Speaker Description:
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.
Scrum is most often explained as it applies to a team or as a set of principles that can guide decisions about tradeoffs (the agile manifesto). There is little guidance on how scrum should look and work from the perspective of the enclosing organization(s) -- especially when there are many teams, many projects, many cultures and difficult customers with many escalations that must be addressed "NOW"!
Speaker Description:
Robert Ward is a director of engineering who, during the last few years, has led the conversion to scrum within a division of Motorola. This division now has around 40 scrum teams operating in locations on four continents.
During a prior life he founded R&D Publications, Inc., a technical publishing firm best known for the C/C++ Users Journal.
Authors: Hongyi Ma, Liqiang Wang, University of Wyoming Chunhua Liao, Daniel Quinlan, Lawrence Livermore National Laboratory Zijiang Yang, Western Michigan University
Speaker Description:
Steve Diersen is graduate student at the University of Wyoming working toward a PhD in Computer Science. His field of study is Machine Learning and in particular Artificial Neural Networks and Knowledge Based Artificial Neural Networks. He has taught or been a teacher’s assistant for a number of courses at the University of Wyoming.
Dr. Liqiang Wang is currently an associate professor in the Department of Computer Science at the University of Wyoming. He is currently taking sabbatical leave and working as a visiting research scientists at IBM T.J. Watson Research Center. His research focuses on an interdisciplinary area between big-data computing and software analytics. His work applies program analysis techniques to improve correctness and resilience of data-intensive computing as well as optimize its performance and scalability, especially on Cloud, GPU, and multicore platforms. He received an NSF CAREER Award in 2011.
Daniel Nagle is the chair of PL22.3 (formerly J3) Fortran Standard Committee. He got his PhD in Computational Science from GMU and is working in UCAR’s Consulting Service Group. He has been using and teaching Fortran since the '60s and has been parallel programming in Fortran and other languages since the '80s
Zaihua Ji, short name Hua Software Engineer III in Data Support Section, CISL, NCAR, starting in February 2004. Graduated from University of South Florida in 1997 with a M.S. in Computer Science and Ph.D. in Physical Oceanography.
