Date & Time:
January 24, 2019 2:00 pm – 3:00 pm
Location:
Crerar 390, 5730 S. Ellis Ave., Chicago, IL,
01/24/2019 02:00 PM 01/24/2019 03:00 PM America/Chicago Kyle Chard (UChicago) – Cost-aware Parallel Scripting in the Cloud Crerar 390, 5730 S. Ellis Ave., Chicago, IL,

Cost-aware Parallel Scripting in the Cloud

Cloud computing platforms provide flexible and elastic computing infrastructure on which a broad range of science and engineering applications are now executed. While cloud proponents tout availability and cost-efficiency as reasons for widespread adoption, in practice cloud resources are often used inefficiently as users lack methods to easily and efficiently scale applications while taking into account the underlying economic models on which the cloud is built. In this talk, I will introduce two projects that aim to enable scalable and cost-efficient use of cloud platforms. First, I will describe Parsl—a parallel scripting library for Python that enables seamless and elastic execution of parallel workflows on clouds, clusters, and supercomputers. Second, I will describe methods for predicting cloud market dynamics and application performance on arbitrary cloud instances. Collectively, these approaches simplify access to on-demand computing infrastructure and improve the efficiency with which applications can be executed on the cloud.
 

Host: Ian Foster

Kyle Chard

Research Associate Professor

Kyle Chard is a Research Assistant Professor in the Department of Computer Science at the University of Chicago. He also holds a joint appointment at Argonne National Laboratory. He received his Ph.D. in Computer Science from Victoria University of Wellington, New Zealand in 2011.  He is a member of the ACM and IEEE,  received the IEEE TCHPC Award for Excellence for Early Career Researchers in HPC, was part of the Globus team that won an R&D100 award, and received the New Zealand Top Achiever Doctoral Scholarship.  He co-leads the Globus Labs research group, which focuses on a broad range of research problems in data-intensive computing and research data management.  He leads NSF-funded projects related to distributed and parallel computing, scientific reproducibility, research automation, and cost-aware use of cloud infrastructure.

Related News & Events

UChicago CS News

UChicago Hosts NSF Workshop on Frontiers of Quantum Advantage

Aug 15, 2022
UChicago CS News

New 2022-23 CS Faculty Add Expertise in Linguistics, Visualization, Economics, and Data Science Education

Aug 11, 2022
In the News

UChicago Co-Leads $10 Million NSF Institute on Foundations of Data Science

Aug 09, 2022
UChicago CS News

Head’s Up: UChicago CS Grad Student Designs Device That Directs User’s Head

Jul 26, 2022
UChicago CS News

UChicago CS Faculty Receive Industry Grants From J.P. Morgan, Google

Jul 19, 2022
In the News

Bill Fefferman Comments on New Standards for Quantum-Proof Cryptography

Jul 07, 2022
UChicago CS News

UChicago London Colloquium Features Data Science, Quantum Research

Jul 01, 2022
Video

Is it Ethical to Use Facial Imaging in Decision-Making?

Jun 28, 2022
UChicago CS News

Single Sign-On Migration for Chameleon Project Receives PEARC Best Paper Award

Jun 27, 2022
UChicago CS News

EPiQC Post-Doc Pens Op-Ed on Potential of Quantum Computing for Chemistry

Jun 24, 2022
UChicago CS News

Faculty Bill Fefferman and Chenhao Tan Receive Google Research Scholar Awards

Jun 21, 2022
UChicago CS News

Two Incoming UChicago CS PhD Students Receive Department of Energy Fellowship

Jun 16, 2022
arrow-down-largearrow-left-largearrow-right-large-greyarrow-right-large-yellowarrow-right-largearrow-right-smallbutton-arrowclosedocumentfacebookfacet-arrow-down-whitefacet-arrow-downPage 1CheckedCheckedicon-apple-t5backgroundLayer 1icon-google-t5icon-office365-t5icon-outlook-t5backgroundLayer 1icon-outlookcom-t5backgroundLayer 1icon-yahoo-t5backgroundLayer 1internal-yellowinternalintranetlinkedinlinkoutpauseplaypresentationsearch-bluesearchshareslider-arrow-nextslider-arrow-prevtwittervideoyoutube