Early this month, Anirban Mandal and Paul Ruth (members of the DoE Panorama project at RENCI) presented a Panorama-based demo at the GENI Engineering Conference 25, and finished in the third place. Data Flow Prioritization for Scientific Workflows Using … Read More
Why Scientific Workflows?
Scientific workflows are a flexible representation to declaratively express applications with data and control dependencies, and are mainstream in domains such as astronomy, physics, climate science, earthquake science, biology, and others. Learn more.
The SciTech research group aims to empower the scientific community by tightening the relations between the domain scientists and current computational resources. As a result, scientists can focus on their research questions, while our open-source tools provide the computational foundations to seamlessly run their experiments and analyses in local and distributed resources.
We provide tools to automate and advance scientific analyses from the scientist's desktop to clouds and world-class supercomputers. Learn more.
AWS Batch is a fully-managed service that enables developers, scientists, and engineers to easily and efficiently run batch computing workloads of any scale on AWS. The service automatically provisions compute resources and optimizes the workload distribution based on the quantity … Read More
Astrophysics is transforming from a data-starved to a data-swamped discipline, fundamentally changing the nature of scientific inquiry and discovery. New technologies are enabling the detection, transmission, and storage of data of hitherto unimaginable quantity and quality across the electromagnetic, gravity … Read More
Dr. Ewa Deelman was honored with a 2015 Institute Achievement Award for technical contributions and leadership in the field of scientific workflow systems for high-performance computing. An innovator in the area of scientific workflow management, Ewa introduced the concept of … Read More
Dr. Ewa Deelman, Dr. Yolanda Gil and six colleagues from other institutions have published an article in Science magazine’s policy forum. Called “Enhancing reproducibility for computational methods,” the piece argues that “access to the computational steps taken to process data … Read More
Simulation is a fast, controlled, and reproducible way to evaluate new algorithms for distributed computing platforms in a variety of conditions. However, the realism of simulations is rarely assessed, which critically questions the applicability of a whole range of findings. … Read More
The SciTech research team wishes you a wonderful 2017! In 2016, we had a great year and several accomplishments. Among them, we highlight the LIGO’s discovery early this year and how the Pegasus team has contributed to LIGO’s software infrastructure. … Read More
Scientific workflows have become mainstream for conducting large-scale scientific research. As a result, many workflow applications and Workflow Management Systems (WMSs) have been developed as part of the cyberinfrastructure to allow scientists to execute their applications seamlessly on a range … Read More