Sign up for our newsletter and get the latest big data news and analysis.

DOE CSGF Names 33 Graduate Fellows

Ames, Iowa — May 16, 2022 — The Department of Energy Computational Science Graduate Fellowship (DOE CSGF) will receive 33 new graduate students for 2022-23 — the program’s largest class on record. The new fellows will attend a total of 19 universities across the country as they learn to apply high-performance computing (HPC) to research […]

Video: Making Supernovae with Jets

Chelsea Harris from the University of Michigan gave this talk at the CSGF 2019. “I am developing a FLASH hydrodynamics module, SparkJoy, to perform these simulations at high order. These projects are part of a DOE INCITE project to explore progenitor effects on CC SNe and of the DOE SciDAC program “Towards Exascale Astrophysics of Mergers and Supernovae.”

Video: Reasoning About Biology With Data-Driven Approaches

Adam Riesselman from Insitro gave this talk at DOE CSGF 2019. “Biology is quickly becoming a data-driven discipline, in which thousands of biological hypotheses can be answered in a single test tube. I will first highlight the technologies that have enabled this revolution. I will then discuss these advances in the context of understanding natural genetic variation with computational models and their application in predicting the effects of mutations and designing new sets of sequences with desirable properties.”

Single-Cell Sequencing for Drug Discovery: Applications and Challenges

Sarah Middleton from GSK gave this talk at DOE CSGF 2019. “Advances in techniques for single-cell RNA sequencing have made it possible to profile gene expression in individual cells on a large scale, opening up the possibility to explore the heterogeneity of expression within and across cell types. This exciting technology is now being applied to almost every tissue in the human body, with some experiments generating expression profiles for more than 100,000 cells at a time.”

Harris and Riesselman Share 2019 Howes Scholar in Computational Science Award

Two scientists who use HPC for divergent purposes – astronomy and biology – are recipients of the 2019 Frederick A. Howes Scholar in Computational Science Award. The honorees are Chelsea Harris, a postdoctoral researcher in astronomy and astrophysics at Michigan State University, and Adam Riesselman, a machine-learning engineer at Insitro, a Bay Area drug-discovery company.

HACC: Fitting the Universe inside a Supercomputer

Nicholas Frontiere from the University of Chicago gave this talk at the DOE CSGF Program Review meeting. “In response to the plethora of data from current and future large-scale structure surveys of the universe, sophisticated simulations are required to obtain commensurate theoretical predictions. We have developed the Hardware/Hybrid Accelerated Cosmology Code (HACC), capable of sustained performance on powerful and architecturally diverse supercomputers to address this numerical challenge. We will investigate the numerical methods utilized to solve a problem that evolves trillions of particles, with a dynamic range of a million to one.”

With Exascale Looming, this is an Exciting Time for Computational Science

In this video from the 2017 CGSF Review Meeting, Barbara Helland from the Department of Energy presents: With Exascale Looming, this is an Exciting Time for Computational Science. “Helland was also a presenter this week at the ASCR Advisory Committee Meeting, where she disclosed that the Aurora 21 Supercomputer coming to Argonne in 2021 will indeed be an exascale machine.”

Video: JuMP – A Modeling Language for Mathematical Optimization

Miles Lubin from presented this talk at the CSGF Annual Program Review. “JuMP is an open-source software package in Julia for modeling optimization problems. In less than three years since its release, JuMP has received more than 50 citations and has been used in at least 10 universities for teaching. We tell the story of how JuMP was developed, explain the role of the DOE CSGF and high-performance computing, and discuss ongoing extensions to JuMP developed in collaboration with DOE labs.”

Video: DARPA’s SyNAPSE and the Cortical Processor

“I will describe a decade-long, multi-disciplinary, multi-institutional effort spanning neuroscience, supercomputing and nanotechnology to build and demonstrate a brain-inspired computer and describe the architecture, programming model and applications. I also will describe future efforts in collaboration with DOE to build, literally, a “brain-in-a-box”. The work was built on simulations conducted on Lawrence Livermore National Laboratory’s Dawn and Sequoia HPC systems in collaboration with Lawrence Berkeley National Laboratory.”

Supercomputing 102: The Toolbox of a Successful Computational Scientist

“Successful computational scientists are experts in both a scientific field, such as chemistry, physics, or astrophysics, knowledgeable about both mathematical representations and algorithmic implementations, and also specialize in developing and optimizing scientific application codes to run on computers, both large and small. A truly successful computational science investigation requires the “three A’s”: a compelling Application, the appropriate Algorithm, and the underlying Architecture.”