The application deadline for the Argonne Training Program on Extreme-Scale Computing (ATPESC) program has been extended to Sunday, March 10. This year marks the 12th year for ATPESC, which provides intensive, two-week training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems […]
ATPESC 2024: Applications to Learn about Advanced Computing Due February 28
January 3, 2024 by
The annual Argonne Training Program on Extreme-Scale Computing (ATPESC) is scheduled for July 28-August 9, 2024. The call for applications is open through February 28, 2024. The application can be found here. For more information, contact support@extremecomputingtraining.anl.gov The event will be held at the Q Center in St. Charles, IL (Chicago area). The program, which […]
Argonne: ATPESC 2023 Applications Due March 1
January 4, 2023 by
Jan. 4, 2023 — Applications are due Wednesday, March 1 for the annual Argonne Training Program on Extreme-Scale Computing (ATPESC), which will take place July 30-August 11, 2023 in the Chicago area. Apply here. There are no fees to participate in ATPESC. Domestic airfare, meals and lodging are also provided. The program offers the opportunity […]
Argonne to Hold Feb. 17 ATPESC HPC Training Program on Extreme-Scale Computing
February 14, 2022 by
On Thursday, Feb. 17, Ray Loy, director of the Argonne Training Program on Extreme-Scale Computing (ATPESC) at the Argonne Leadership Computing Facility, will hold a training session at 1 pm Central Time. Go here to register. ATPESC provides intensive, two-week training on the key skills, approaches and tools to design, implement and execute computational science […]
ATPESC – Argonne Training Program on Extreme-Scale Computing – Sets March 1 Application Deadline
February 8, 2021 by
Argonne National Laboratory said today it has established a March 1 deadline to apply for an opportunity to learn the tools and techniques needed to carry out research on the world’s most powerful supercomputers. Applications are now being accepted for ATPESC 2021 — a two-week training program designed to teach the skills, approaches and tools to design, implement and execute […]
Video: Data Parallel Deep Learning
February 2, 2020 by
Huihuo Zheng from Argonne National Laboratory gave this talk at ATPESC 2019. “The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two weeks of training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future.”
Video: The Convergence of Big Data and Large-scale Simulation
January 29, 2020 by
David Keyes from KAUST gave this talk at ATPESC 2019. “Analytics can provide to machine learning feature vectors for training. Machine learning, in turn, can impute missing data and provide detection and classification. The scientific opportunities are potentially enormous enough to overcome the inertia of the specialized communities that have gathered around each of paradigms and spur convergence.”
Call for Applications: ATPESC 2020 Extreme-Scale Computing Training Program
January 27, 2020 by
The Argonne Training Program on Extreme-Scale Computing (ATPESC) has issued its Call for Applications. The event will take place from July 26–August 7 in the Chicago area. “ATPESC provides intensive, two-week training on the key skills, approaches, and tools needed to carry out scientific computing research on the world’s most powerful supercomputers.”
Jack Dongarra presents: Adaptive Linear Solvers and Eigensolvers
January 25, 2020 by
Jack Dongarra from UT Knoxville gave this talk at ATPESC 2019. “Success in large-scale scientific computations often depends on algorithm design. Even the fastest machine may prove to be inadequate if insufficient attention is paid to the way in which the computation is organized. We have used several problems from computational physics to illustrate the importance of good algorithms, and we offer some very general principles for designing algorithms.”
Michela Taufer presents: Scientific Applications and Heterogeneous Architectures
January 23, 2020 by
Michela Taufer from UT Knoxville gave this talk at ATPESC 2019. “This talk discusses two emerging trends in computing (i.e., the convergence of data generation and analytics, and the emergence of edge computing) and how these trends can impact heterogeneous applications. This talk presents case studies of heterogenous applications in precision medicine and precision farming that expand scientist workflows beyond the supercomputing center and shed our reliance on large-scale simulations exclusively, for the sake of scientific discovery.”
