Presentation
The Role of Cyberinfrastructure in Science: Challenges and Opportunities
Presenter
Event Type
Invited Talk
TP
Applications
Computational Physics
Cosmology
Scientific Computing
Scientific Workflows
Simulation
TimeWednesday, 20 November 201911:15am - 12pm
LocationMile High Ballroom
DescriptionCyberinfrastructure (CI): instruments, computational platforms, software, and people form a sophisticated platform that powers modern scientific discoveries. As demands for greater collaboration, more data analysis, more complex simulations, and computational power have grown in science, so have the challenges of developing and delivering robust CI to users. Sustainable and dependable CI is not developed in a vacuum; rather, it benefits from advances in Computer Science and provides a unique laboratory for Computer Science research. Grounded in the challenging and ever-increasing needs of a multitude of scientific applications, CI is continuously enhanced and driven to innovate.
This presentation examines selected modern scientific discoveries, such as the detection of gravitational waves from the CI perspective. It aims to answer the following key questions: first, what were the key CI solutions that enabled a particular scientific result? and second, what were the challenges that needed to be overcome? The CI examples will include science automation technologies, such as the Pegasus workflow management system and how it evolved over the last two decades as science applications and broader CI have grown in heterogeneity and scale. It will describe the algorithms and solutions that enable the robust execution of complex scientific workflows on DOE and NSF-funded high-performance and high-throughput computing systems.
This talk will conclude with emerging challenges and opportunities in the CI landscape.
This presentation examines selected modern scientific discoveries, such as the detection of gravitational waves from the CI perspective. It aims to answer the following key questions: first, what were the key CI solutions that enabled a particular scientific result? and second, what were the challenges that needed to be overcome? The CI examples will include science automation technologies, such as the Pegasus workflow management system and how it evolved over the last two decades as science applications and broader CI have grown in heterogeneity and scale. It will describe the algorithms and solutions that enable the robust execution of complex scientific workflows on DOE and NSF-funded high-performance and high-throughput computing systems.
This talk will conclude with emerging challenges and opportunities in the CI landscape.
