Deborah Bard
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View article: Accelerating Time-to-Science by Streaming Detector Data Directly into Perlmutter Compute Nodes
Accelerating Time-to-Science by Streaming Detector Data Directly into Perlmutter Compute Nodes Open
Recent advancements in detector technology have significantly increased the size and complexity of experimental data, and high-performance computing (HPC) provides a path towards more efficient and timely data processing. However, movement…
View article: Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows Open
The 2024 Workflows Community Summit report presents the outcomes of a three-day international gathering that brought together 111 experts from 18 countries to discuss future trends and challenges in scientific workflows. The summit focused…
View article: Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows Open
The 2024 Workflows Community Summit report presents the outcomes of a three-day international gathering that brought together 111 experts from 18 countries to discuss future trends and challenges in scientific workflows. The summit focused…
View article: Frontiers in Scientific Workflows: Pervasive Integration With High-Performance Computing
Frontiers in Scientific Workflows: Pervasive Integration With High-Performance Computing Open
Herein we address the increasing complexity of scientific workflows in the context of high-performance computing (HPC) and their associated need for robust, adaptable, and flexible computational support systems. We explore five key trends …
View article: Accelerating Time-to-Science by Streaming Detector Data Directly into Perlmutter Compute Nodes
Accelerating Time-to-Science by Streaming Detector Data Directly into Perlmutter Compute Nodes Open
Recent advancements in detector technology have significantly increased the size and complexity of experimental data, and high-performance computing (HPC) provides a path towards more efficient and timely data processing. However, movement…
View article: Real‐time XFEL data analysis at SLAC and NERSC: A trial run of nascent exascale experimental data analysis
Real‐time XFEL data analysis at SLAC and NERSC: A trial run of nascent exascale experimental data analysis Open
Summary X‐ray scattering experiments using free electron lasers (XFELs) are a powerful tool to determine the molecular structure and function of unknown samples (such as COVID‐19 viral proteins). XFEL experiments are a challenge to computi…
View article: Accelerating x‐ray tracing for exascale systems using Kokkos
Accelerating x‐ray tracing for exascale systems using Kokkos Open
Summary The upcoming exascale computing systems Frontier and Aurora will draw much of their computing power from GPU accelerators. The hardware for these systems will be provided by AMD and Intel, respectively, each supporting their own GP…
View article: Integrated Research Infrastructure Architecture Blueprint Activity (Final Report 2023)
Integrated Research Infrastructure Architecture Blueprint Activity (Final Report 2023) Open
The complexity of scientific pursuits is increasing rapidly with aspects that require dynamic integration of experiment, observation, theory, modeling, simulation, visualization, machine learning (ML), artificial intelligence (AI), and ana…
View article: Workflows Community Summit 2022: A Roadmap Revolution
Workflows Community Summit 2022: A Roadmap Revolution Open
Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex scientific experiments that range from the execution of a cl…
View article: Data Preservation for Cosmology
Data Preservation for Cosmology Open
We describe the needs and opportunities for preserving cosmology datasets and simulations, and facilitating their joint analysis beyond the lifetime of individual projects. We recommend that DOE fund a new cosmology data archive center to …
View article: The LBNL Superfacility Project Report
The LBNL Superfacility Project Report Open
The Superfacility model is designed to leverage HPC for experimental science. It is more than simply a model of connected experiment, network, and HPC facilities; it encompasses the full ecosystem of infrastructure, software, tools, and ex…
View article: LBNL Superfacility Project Report
LBNL Superfacility Project Report Open
The Superfacility model is designed to leverage HPC for experimental science. It is more than simply a model of connected experiment, network, and HPC facilities; it encompasses the full ecosystem of infrastructure, software, tools, and ex…
View article: Accelerating X-Ray Tracing for Exascale Systems using Kokkos
Accelerating X-Ray Tracing for Exascale Systems using Kokkos Open
The upcoming exascale computing systems Frontier and Aurora will draw much of their computing power from GPU accelerators. The hardware for these systems will be provided by AMD and Intel, respectively, each supporting their own GPU progra…
View article: Snowmass2021 Cosmic Frontier: Modeling, statistics, simulations, and computing needs for direct dark matter detection
Snowmass2021 Cosmic Frontier: Modeling, statistics, simulations, and computing needs for direct dark matter detection Open
This paper summarizes the modeling, statistics, simulation, and computing needs of direct dark matter detection experiments in the next decade.
View article: Climate of the Field: Snowmass 2021
Climate of the Field: Snowmass 2021 Open
How are formal policies put in place to create an inclusive, equitable, safe environment? How do these differ between different communities of practice (institutions, labs, collaborations, working groups)? What policies towards a more equi…
View article: Data Preservation for Cosmology
Data Preservation for Cosmology Open
We describe the needs and opportunities for preserving cosmology datasets and simulations, and facilitating their joint analysis beyond the lifetime of individual projects. We recommend that DOE fund a new cosmology data archive center to …
View article: Enabling discovery data science through cross-facility workflows
Enabling discovery data science through cross-facility workflows Open
Experimental and observational instruments for scientific research (such as light sources, genome sequencers, accelerators, telescopes and electron microscopes) increasingly require High Performance Computing (HPC) scale capabilities for d…
View article: Real-Time XFEL Data Analysis at SLAC and NERSC: a Trial Run of Nascent Exascale Experimental Data Analysis
Real-Time XFEL Data Analysis at SLAC and NERSC: a Trial Run of Nascent Exascale Experimental Data Analysis Open
X-ray scattering experiments using Free Electron Lasers (XFELs) are a powerful tool to determine the molecular structure and function of unknown samples (such as COVID-19 viral proteins). XFEL experiments are a challenge to computing in tw…
View article: Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources
Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources Open
In January 2019, the US Department of Energy, Office of Science program in Advanced Scientific Computing Research, convened a workshop to identify priority research directions (PRDs) for in situ data management (ISDM). A fundamental findin…
View article: ASCR Workshop on In Situ Data Management: Enabling Scientific Discovery from Diverse Data Sources [Brochure]
ASCR Workshop on In Situ Data Management: Enabling Scientific Discovery from Diverse Data Sources [Brochure] Open
In January 2019, the U.S. Department of Energy (DOE), Office of Science (SC) program in Advanced Scientific Computing Research (ASCR) convened a workshop to identify priority research directions (PRDs) for In Situ Data Management (ISDM). T…
View article: ASCR Workshop on In Situ Data Management
ASCR Workshop on In Situ Data Management Open
In January 2019, the U.S. Department of Energy, Office of Science program in Advanced Scientific Computing Research, convened a workshop to identify priority research directions for in situ data management (ISDM). The workshop defined ISDM…
View article: ASCR Workshop on In Situ Data Management: Enabling Scientific Discovery from Diverse Data Sources
ASCR Workshop on In Situ Data Management: Enabling Scientific Discovery from Diverse Data Sources Open
In January 2019, the U.S. Department of Energy, Office of Science program in Advanced Scientific Computing Research, convened a workshop to identify priority research directions for in situ data management (ISDM). The workshop defined ISDM…
View article: Next Generation Generative Neural Networks for HEP
Next Generation Generative Neural Networks for HEP Open
Initial studies have suggested generative adversarial networks (GANs) have promise as fast simulations within HEP. These studies, while promising, have been insufficiently precise and also, like GANs in general, suffer from stability issue…
View article: CosmoFlow: Using Deep Learning to Learn the Universe at Scale
CosmoFlow: Using Deep Learning to Learn the Universe at Scale Open
Deep learning is a promising tool to determine the physical model that describes our universe. To handle the considerable computational cost of this problem, we present CosmoFlow: a highly scalable deep learning application built on top of…
View article: CosmoFlow: Using Deep Learning to Learn the Universe at Scale
CosmoFlow: Using Deep Learning to Learn the Universe at Scale Open
Deep learning is a promising tool to determine the physical model that describes our universe. To handle the considerable computational cost of this problem, we present CosmoFlow: a highly scalable deep learning application built on top of…
View article: Crosscut report: Exascale Requirements Reviews, March 9–10, 2017 – Tysons Corner, Virginia. An Office of Science review sponsored by: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics
Crosscut report: Exascale Requirements Reviews, March 9–10, 2017 – Tysons Corner, Virginia. An Office of Science review sponsored by: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics Open
The mission of the U.S. Department of Energy Office of Science (DOE SC) is the delivery of scientific discoveries and major scientific tools to transform our understanding of nature and to advance the energy, economic, and national securit…
View article: Advanced Scientific Computing Research Exascale Requirements Review. An Office of Science review sponsored by Advanced Scientific Computing Research, September 27-29, 2016, Rockville, Maryland
Advanced Scientific Computing Research Exascale Requirements Review. An Office of Science review sponsored by Advanced Scientific Computing Research, September 27-29, 2016, Rockville, Maryland Open
The widespread use of computing in the American economy would not be possible without a thoughtful, exploratory research and development (R&D) community pushing the performance edge of operating systems, computer languages, and software li…
View article: Creating Virtual Universes Using Generative Adversarial Networks.
Creating Virtual Universes Using Generative Adversarial Networks. Open
Inferring model parameters from experimental data is a grand challenge in many sciences, including cosmology. This often relies critically on high fidelity numerical simulations, which are prohibitively computationally expensive. The appli…
View article: Nuclear Physics Exascale Requirements Review: An Office of Science review sponsored jointly by Advanced Scientific Computing Research and Nuclear Physics, June 15 - 17, 2016, Gaithersburg, Maryland
Nuclear Physics Exascale Requirements Review: An Office of Science review sponsored jointly by Advanced Scientific Computing Research and Nuclear Physics, June 15 - 17, 2016, Gaithersburg, Maryland Open
Imagine being able to predict — with unprecedented accuracy and precision — the structure of the proton and neutron, and the forces between them, directly from the dynamics of quarks and gluons, and then using this information in calculati…
View article: Developments in Architectures and Services for using High Performance Computing in Energy Frontier Experiments
Developments in Architectures and Services for using High Performance Computing in Energy Frontier Experiments Open
The integration of HPC resources into the standard computing toolkit of HEP experiments is becoming important as the needs of experiments outpace traditional resources. We will describe solutions that address some of the difficulty in runn…