AWS Public Sector Blog
Category: Research
Simplifying access to cloud resources for researchers: CloudBank
To better support the growing use of cloud computing resources with increasing data- and compute-intensive research and education workloads, the National Science Foundation’s (NSF) Directorate for Computer and Information Science and Engineering (CISE) announced the Cloud Access solicitation in September 2018. The NSF, through its competitive merit review process, selected CloudBank. Researchers that use CloudBank gain access to advanced hardware resources such as CPUs, GPUs, FPGAs, ASICs, and quantum processing units (QPUs). In addition, CloudBank offers proposal assistance, facilitated cloud access and account management, monitoring and resource usage optimization, and eliminates university overhead/indirect costs, and provides curated training materials, classroom, and help desk support.
Announcing Service Workbench on AWS: A fast and simple solution to create a collaborative research environment
Today, Amazon Web Services (AWS) announced Service Workbench on AWS, a web portal for researchers to deploy domain-specific data and tools on secure IT environments in minutes not months. Customers can accelerate research while promoting repeatability, multi-site collaboration, and cost transparency in the research process. Tailored for researchers, Service Workbench helps quickly and securely stand up research environments for their work, allowing them to focus on the research not the technology.
Crowdsourcing a cure for COVID-19: How the cloud and Folding@home are accelerating research and drug discovery
Today more than 200,000 volunteers around the world are helping accelerate research toward COVID-19 therapies—by walking away from their computers. That’s because of a concept called distributed computing, which allows anyone with a home computer, laptop, or virtual machine to contribute computing power to a common cause. This month, nonprofit Folding@home has started sharing one of the world’s largest public protein simulation databases as an AWS Open Data Set so that researchers around the world can easily access this data to speed up the search for therapies for COVID-19.
Addressing environmental challenges with the AWS Cloud
Azavea believes in the power of geospatial technology to improve communities and the planet. Azavea has been exploring the power of this technology to help their clients to answer complex questions in a wide range of domains from urban ecosystems, infrastructure planning, and economic development to water, energy, and climate change. As part of the Amazon Sustainability Data Initiative (ASDI), we invited Jessica Cahail, product manager at Azavea, to share how her organization is using AWS and open data to develop tools that help users address environmental challenges and deliver knowledge to support decision making.
The Water Institute of the Gulf runs compute-heavy storm surge and wave simulations on AWS
The Water Institute of the Gulf runs its storm surge and wave analysis models on Amazon Web Services (AWS)—a task that sometimes requires large bursts of compute power. These models are critical in forecasting hurricane storm surge event (like Hurricane Laura in August 2020), evaluating flood risk for the Louisiana and other coastal states, helping governments prepare for future conditions, and managing the coast proactively.
Emerging trends in cloud for advanced research computing
Research computing has come a long way from the mainframes of the 1960s. At the recent Practice and Experience in Advanced Research Computing (PEARC) conference, I noted four emerging themes that underscore how the field continues to evolve.
Taking COVID in STRIDES: The National Center for Biotechnology Information makes coronavirus genomic data available on AWS
AWS and the National Institutes of Health’s (NIH) National Center for Biotechnology Information (NCBI) announced the creation of the Coronavirus Genome Sequence Dataset to support COVID-19 research. The dataset is hosted by the AWS Open Data Sponsorship Program and accessible on the Registry of Open Data on AWS, providing researchers quick and easy access to coronavirus sequence data at no cost for use in their COVID-19 research.
Improving our knowledge about the oceans by providing cloud-based access to large datasets
As a physical oceanographer focused on remote sensing, Dr. Chelle Gentemann, senior scientist at Farallon Institute, has worked for over 20 years on retrievals of ocean temperature from space. She uses measurements of sea surface temperature from satellites to understand how the ocean impacts our lives. Chelle’s work requires analysis of large volumes of data, which requires access to large data storage and computational resources. Although most large research institutions can secure those IT resources, that is not the case for smaller organizations or underserved communities around the world. As part of the Amazon Sustainability Data Initiative, we invited Dr. Gentemann to share her perspective on the value of hosting high-resolution climate data on AWS.
Five things to consider when moving your research workflows to AWS
Research is done differently in the cloud than in an on-premises lab. Research labs looking to move computational research to the cloud should start with their workflows. There are common themes across computational research workflows that researchers should consider as they begin to move their research workflows to AWS.
Enabling rapid COVID-19 and air pollution analysis across the globe with OpenAQ and AWS
Unravelling the relationship between COVID-19 and air pollution is vital for protecting public health. For example, preliminary works suggest that those living in environments with polluted air are significantly more likely to be adversely affected by COVID-19. At the same time, air pollution is already known to cause an estimated one out of every eight deaths globally. The decrease in human activities due to COVID-19 lockdowns across the world has people wondering how air pollution levels are being impacted—and what valuable public health and policy lessons we can learn.