Category: Research

In the spring of 2019, environmental modelers at the Lake Michigan Air Directors Consortium (LADCO) had a new problem to solve. Emerging research on air pollution along the shores of the Great Lakes in the United States showed that to properly simulate the pollution episodes in the region we needed to apply our models at a finer spatial granularity than the computational capacity of our in-house HPC cluster could handle. The LADCO modelers turned to AWS ParallelCluster to access the HPC resources needed to do this modeling faster and scale for our member states.

RONIN is an AWS Partner solution that empowers researchers with a simple interface to create and control computing resources, set and monitor budgets, and forecast spend. RONIN is designed and architected to advance research institutions’ missions, by providing a research platform that manages the most common research use cases, and is also compatible with advanced cloud computing services from AWS. Learn what powers RONIN underneath the user-friendly interface.

If you share data with other researchers, especially if they are using a different tool, you can quickly run into version issues, not knowing which file is the most current. Rather than sending data files everywhere, AWS offers a simple way to store your data in one central location so that you can read your data into SAS and still share it with other colleagues. In this blog post, I will explain how to export your data, store it in AWS, and query the data using SAS.

To allow more visibility into and management of AWS resources and expenses and minimize the cloud skills training required to operate these resources, AWS Partner RONIN created the RONIN research computing platform. RONIN gives researchers the ability to create exactly the computers or storage that they need in minutes. With access to the flexibility and scalability of the cloud, researchers are able to store and process larger datasets, collaborate globally, and adapt to changing technologies and research methods instantly.

The AWS Cloud gives genomics researchers access to a wide variety of instance types and chip architectures and this elasticity allows us to rethink genomics workflows when running workloads in the cloud. Given the increased performance of the Graviton2 instances, we wanted to explore if they can be used for cost-effective and performant genomics workloads. Read on to learn about our generalized approach for determining the most effective instance type for running genomics workloads in the cloud.

If you are a researcher or scientist, you may be familiar with MATLAB, a computational analysis tool produced by Mathworks. And if you work in higher education, you may work with individuals and groups outside of your organization for data collection or the analysis of that data. Learn how to extend the reach of MATLAB applications on AWS by using the MATLAB Web App Server.

GÉANT, one of the world’s largest research and education networks, is making it simpler to adopt cloud services through a new procurement framework, Open Cloud for Research Environments (OCRE Cloud Framework). GÉANT selected AWS Partners Jisc and Rackspace Technology to join the OCRE Cloud Framework.

The cloud can help researchers process complex workloads, store and analyze enormous amounts of data, collaborate globally, and accelerate research and innovation. For research IT, Amazon Web Services (AWS) can help build scalable, cost-effective, and flexible environments while still maintaining the governance and guardrails for security and compliance. Following best practices, AWS allows for centralized management of resources, improved security and compliance of research workloads, and can save costs and accelerate innovation. What are some common questions from research IT customers?

Before the Event Horizon Telescope project released the first-ever picture of a black hole in 2019, nobody had ever seen one. Black holes are a region of space with a gravitational pull so strong that nothing—not even light—can escape them. The cloud is helping accelerate research into black holes.

Be it aspirin for headache, or statin for cholesterol, or amoxicillin as an antibiotic, there are small molecules that we refer to as drugs that can offer therapeutic remedy. Given the range of possible molecule to protein combinations, finding the right small molecule that is able to bind strongly to a certain target site and inhibit its function is a time-intensive and challenging feat. Enter VirtualFlow, a new open-source software that performs screens, essentially matchmaking between molecules and proteins. Harvard Medical School researchers developed the VirtualFlow platform that tests compounds through computer simulations. Using AWS and an AWS Cloud Credit for Research grant, the researchers demonstrated that VirtualFlow is able to run on the cloud.