Steven G. Johnson is a Professor of Applied Mathematics and Physics at MIT. He works in the field of nanophotonics—electromagnetism in media structured on the wavelength scale, especially in the infrared and optical regimes—where he works on many aspects of the theory, design, and computational modeling of nanophotonic devices, both classical and quantum. He is coauthor of over 200 papers and over 25 patents, including the second edition of the textbook Photonic Crystals: Molding the Flow of Light. In addition to traditional publications, he distributes several widely used free-software packages for scientific computation, including the MPB and Meep electromagnetic simulation tools and the FFTW fast Fourier transform library (for which he received the 1999 J. H. Wilkinson Prize for Numerical Software). http://math.mit.edu/~stevenj/ https://github.com/stevengj/meep https://github.com/stevengj/mpb Ardavan Oskooi is the Founder/CEO of Simpetus, a San Francisco based startup with a mission to propel simulations to the forefront of research and development in electromagnetics. Simpetus is a reference to our vision for simulations being an impetus for new discoveries and technologies. Ardavan received his Sc.D. from MIT where he worked with Professor Steven G. Johnson (thesis: Computation & Design for Nanophotonics) to develop Meep. Ardavan has published 13 first-author articles in peer-reviewed journals and a book "Advances in FDTD Computational Electrodynamics: Photonics and Nanotechnology". Ardavan has a master in Computation for Design and Optimization from MIT and completed his undergraduate studies, with honors, in Engineering Science at the University of Toronto. Prior to launching Simpetus, Ardavan worked as a postdoctoral researcher with Professors Susumu Noda at Kyoto University and Stephen R. Forrest at the University of Michigan on leveraging Meep to push the frontier of optoelectronic device design. Company: www.simpetus.com

RCE - Super Computers

RCE 118: MEEP

Dr. Ralph H. Castain is a Principal Engineer at Intel, where he focuses on the development of control system technologies for exascale computing systems. Dr. Castain received his B.S. degree in physics from Harvey Mudd College and multiple graduate level degrees (M.S. in solid-state physics, M.S.E.E. degree in robotics, and Ph.D. in nuclear physics) from Purdue University. He has served in government, academia, and industry for over 30 years as a contributing scientist and business leader in fields ranging from HPC to nuclear physics, particle accelerator design, remote sensing, autonomous pattern recognition, and decision analysis. He currently is the founder and leader of the PMIx community (https://pmix.github.io/pmix)

RCE 117 PMIx

Brian Granger is an associate professor of physics and data science at Cal Poly State University in San Luis Obispo, CA. His research focuses on building open-source tools for interactive computing, data science, and data visualization. Brian is a leader of the IPython project, co-founder of Project Jupyter, co-founder of the Altair project for statistical visualization, and an active contributor to a number of other open-source projects focused on data science in Python. He is an advisory board member of NumFOCUS and a faculty fellow of the Cal Poly Center for Innovation and Entrepreneurship.

RCE 116 Jupyter

Dr. Bill Nitzberg is the CTO of PBS Works at Altair and “acting” community manager for the PBS Pro Open Source Project (www.pbspro.org). With over 25 years in the computer industry, spanning commercial software development to high-performance computing research, Dr. Nitzberg is an internationally recognized expert in parallel and distributed computing. Dr. Nitzberg served on the board of the Open Grid Forum, co-architected NASA’s Information Power Grid, edited the MPI-2 I/O standard, and has published numerous papers on distributed shared memory, parallel I/O, PC clustering, job scheduling, and cloud computing. When not focused on HPC, Bill tries to improve his running economy for his long-distance running adventures. http://www.pbspro.org/

RCE 115 PBS Professional

NetCDF is a set of software libraries and self-describing, machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data.

RCE 114 NetCDF

Shifter is a prototype implementation that NERSC is developing and experimenting with as a scalable way of deploying containers in an HPC environment. It works by converting user or staff generated images in Docker, Virtual Machines, or CHOS (another method for delivering flexible environments) to a common format. This common format then provides a tunable point to allow images to be scalably distributed on the Cray supercomputers at NERSC. The user interface to shifter enables a user to select an image from their dockerhub account and then submit jobs which run entirely within the container.

RCE 113 Shifter

Chris Gorgolewski is a co-director of the Stanford Center for Reproducible Neuroscience and a research associate at Stanford University, California, USA. He is interested in enabling new discoveries in human neuroscience by building data-sharing and analysis tools and services, as well as establishing new data standards and data-sharing policies. http://reproducibility.stanford.edu/

RCE 112: Stanford Center for Reproducible Neuroscience

Deal.ii is a C++ software library supporting the creation of finite element codes and an open community of users and developers.

RCE 111: Deal.II

SAGE2 enables groups to work in front of large shared displays in order to solve problems that required juxtaposing large volumes of information in ultra high-resolution. SAGE2 is developed as a complete redesign and implementation of SAGE, using cloud-based and web-browser technologies in order to enhance data intensive co-located and remote collaboration.

RCE 110: SAGE2

RCE 109: iRODS

Academic Torrents a distributed system for sharing enormous datasets - for researchers, by researchers. The result is a scalable, secure, and fault-tolerant repository for data, with blazing fast download speeds.

RCE 108: Academic Torrents

Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. Julia’s Base library, largely written in Julia itself, also integrates mature, best-of-breed open source C and Fortran libraries for linear algebra, random number generation, signal processing, and string processing. In addition, the Julia developer community is contributing a number of external packages through Julia’s built-in package manager at a rapid pace. IJulia, a collaboration between the Jupyter and Julia communities, provides a powerful browser-based graphical notebook interface to Julia.

RCE 107: Julia

Brock Palen and Jeff Squyres speak with Gregory Kurtzer about Singularity. Singularity allows a non-privileged user to "swap out" the operating system on the host for one they control. So if the host system is running RHEL6 but your application runs in Ubuntu, you can create an Ubuntu image, install your applications into that image, copy the image to another host, and run your application on that host in it's native Ubuntu environment! Gregory Kurtzer has created many open source initiatives related to HPC namely: Centos Linux, Warewulf, Perceus, and most recently Singularity. Currently Gregory serves as a member of the OpenHPC Technical Steering Committee and is the IT HPC Systems Architect and Software Developer for Lawrence Berkeley National Laboratory. Singularity: http://singularity.lbl.gov/ GitHub: https://github.com/gmkurtzer/singularity Twitter: https://twitter.com/gmkurtzer / https://twitter.com/SingularityApp

RCE 106: Singularity

Marcel Kornacker is the Chief Architect for database technology at Cloudera and creator of the Cloudera Impala project. Following his graduation in 2000 with a PhD in databases from UC Berkeley, he held engineering positions at several database-related start-up companies. Marcel joined Google in 2003 where he worked on several ads serving and storage infrastructure projects, then became tech lead for the distributed query engine component of Google's F1 project.

RCE 105: Impala

Edward (Denny) Dahl is a Ph.D. physicist who has been at D-Wave Systems for over four years. He works with customers to help them understand the principles of adiabatic quantum computing as implemented in the D-Wave 2X System. He is currently on assignment at the Los Alamos National Laboratory, which recently purchased a one-thousand qubit system from D-Wave. His interests are quantum programming, playing the guitar and exploring the high deserts of north central New Mexico.

RCE 104: D-Wave Quantum Computing

Super Computers, HPC High Performance Computing, and Engineering. All parts driving our technology development for the future of the world.

hubhopper

RCE - Super Computers

hubhopper