The call for applications for the Argonne Training Program on Extreme-Scale Computing (ATPESC) is now open. The deadline to apply is March 4, 2019. This year’s program will be held July 28-August 9, 2019. Doctoral students, postdocs, and scientists interested in conducting computational science and engineering research on large-scale computers are encouraged to apply. Application instructions can be found at: http://extremecomputingtraining.anl.gov/application
Registration for the NERSC New User Training that will be held on January 25, 2019 is now open.
The purpose of the training is to provide users new to NERSC with the basics on our computational systems; accounts and allocations; programming environment, tools, and best practices; and data ecosystem.
The training will be presented online using Zoom technology and in person at LBL’s Shyh Wang Hall (Building 59, CRT) in Room 4102.
Please see http://www.nersc.gov/users/training/events/new-user-training-january-25-2019/ for the agenda and to register.
On February 11-13, 2019, the Oak Ridge Leadership Computing Facility (OLCF) will host a Summit Training Workshop on-site at ORNL. This event is meant to help new Summit users (or those intending to use Summit) get up and running on the system. Each day will consist of presentations in the morning followed by hands-on sessions in the afternoons. The presentations are meant to deliver relevant information about the system, while the hands-on sessions are intended to help participants get their own codes running on Summit.
OLCF staff and our vendor partners will be available to help during the hands-on sessions. If you would like more information, or to register, please visit the event page at
The 2019 Call for Proposals for the ALCC program will open in early January. The ALCC program is open to scientists from the research community in industry, academia, and national laboratories, the ALCC program allocates a portion of the computational resources at the OLCF for special situations of interest to the Department’s energy mission, with an emphasis on high-risk, high-payoff simulations. Proposals are due by
Wednesday, February 13, 2019 at 11:59 PM EST.
For more information or to submit a proposal, please visit
Looking for pointers on performance tools and debuggers for supercomputers? How about best practices in HPC software development?
Check out the 60+ lecture videos from the 2018 Argonne Training Program on Extreme-Scale Computing (ATPESC). Topics include hardware architectures; programming models and languages; data-intensive computing and I/O; numerical algorithms and software for extreme-scale science; performance tools and debuggers; software productivity; and visualization and data analysis.
The videos are now available on YouTube: https://extremecomputingtraining.anl.gov/2018-videos
You can find the 2018 agenda and presentation slides on the ATPESC website: https://extremecomputingtraining.anl.gov/agenda-2018/
Upcoming and recent PhD graduates are encouraged to apply for the Distinguished Admiral Grace Hopper Postdoctoral Fellowship at NERSC. This prize fellowship is part of the NERSC Exascale Science Application Program program, optimizing scientific applications for high performance on supercomputers at NERSC.
Applicants should propose an application optimization research project, targeting one of two systems:
– Cori, the Intel Xeon Phi-based system currently in production at NERSC
– Perlmutter, the upcoming heterogeneous CPU/GPU system arriving in 2020
The Fellow will receive a highly competitive salary, relocation assistance (if applicable), excellent benefits, frequent opportunities to travel, and an opportunity to work in the San Francisco Bay Area.
For more information about the Distinguished Admiral Grace Hopper Postdoctoral Fellowship, please follow this link:
To view the Fellowship description on the Berkeley Lab careers page, please follow this link:
The application deadline for Insight’s Fall Fellowships is quickly approaching on July 9th, so I want to pass along the latest information about our upcoming sessions.
The Insight Data Fellows Programs are tuition-free fellowships for graduating students, PhDs, and postdocs looking to transition to careers in fields like data science, data engineering, artificial intelligence, and many others. Over the past 6 years, we have helped over 1400 Insight Fellows become data scientists and engineers at over 250 leading data-driven companies.
We have received a number of applications from CERN in the past, and several alumni have gone through our program, including Michel Trottier-McDonald who is now at Twitter.
Head of Admissions
Insight Data Science
Insight Data Fellows Programs
Insight is now accepting applications from graduating students for our fellowships in:
– Data Science (for PhDs & Postdocs)
– Health Data Science (for PhDs & Postdocs)
– Data Engineering (for Bachelors, Masters, or PhDs)
– Artificial Intelligence (for Bachelors, Masters, or PhDs)
– Data Product Management (for Bachelors, Masters, or PhDs)
– DevOps (for Bachelors, Masters, or PhDs)
1400+ Insight alumni are now working at Facebook, LinkedIn, The New York Times, Apple, Airbnb, Netflix, Memorial Sloan Kettering Cancer Center, Github, Slack, 23andMe, Twitter, Bloomberg, NBC, Pinterest, Microsoft, and 250+ other top companies.
Insight Fellows Programs:
– 7 week, full-time training fellowship
– Mentorship from leading industry data scientists, data engineers & AI specialists
– Join an active community of Insight alumni
– Self-directed, project-based learning followed by interviews at top companies
– Tuition-free with need-based scholarships and loans available to help cover living costs
Upcoming Early Application Deadline: July 9
Learn more & apply on our website: https://www.insightdatascience.com/apply
Not ready to apply? Sign up for our notification list: https://www.insightdatascience.com/notify
Questions? Email us at email@example.com
The 2018 Smoky Mountains Computational Sciences and Engineering Conference (SMC18) is currently accepting teams to participate in its 2nd Annual Data Challenge. This contest is open to
students, faculty, and industry professionals who are interested in performing novel analysis on real scientific data sets. Teams of one to four people may participate.
ORNL data sponsors will provide teams with actual scientific data sets to explore 3 to 5 related challenge questions. The challenge questions for each data set will cover multiple difficulty levels, with the first question in each challenge being suitable for a novice, and each question thereafter increasing in difficultly,
with the series of questions ending with an advanced/expert level challenge question. The top teams will be invited to attend SMC18 in Gatlinburg, TN, where they will present their work and the winner will be crowned. Registration is open until June 22 and the competition ends July 31 (submissions are due by 5:00 PM Eastern on July 31).
The Data Challenge is intended to draw scientists and researchers who may be at the beginning stages of incorporating data analytics into their workflow, to data analytics experts who are interested in applying novel techniques to data sets of national importance.
To register, or for more information, visit the Data Challenge
website at https://smc-datachallenge.ornl.gov.
Applications Open for GPU Hackathon at Brookhaven National Laboratory, September 17-21, 2018
Brookhaven National Laboratory will host its 2nd GPU Hackathon on September 17-21, 2018. The Hackathon will bring together domain scientists, computational scientists, tools developers and hardware vendors to accelerate scientific codes on GPUs through the 5-day intense hands-on training. Team applications are being accepted until June 30, 2018. For more details, go tohttps://www.bnl.gov/gpuhackathon2018
INTRO TO HPC TRAINING (JUN 26-28)
The OLCF will host an Introduction to High Performance Computing (HPC) workshop on June 26-28, 2018. This training will start by covering basic skills, such as UNIX, vim text editor, and c/Fortran programming, which will be necessary for the topics to follow. We will then move on to cover basic parallel programming (using MPI and OpenMP) and GPU computing (CUDA and OpenACC). Hands-on sessions will be included with many of the topics to give participants the opportunity to practice new skills. For more information about this event or to register,