Tag: HPC

Amazon Web Services (AWS) works with higher education institutions, research labs, and researchers around the world to offer cost-effective, scalable, and secure compute, storage, and database capabilities to accelerate time to science. In our work with research leaders and stakeholders, users often ask us about best practices for leveraging cloud for research. In this post, we dive into five common questions we field from research leaders as they build the academic research innovation centers of the future.

In 2022, Emory launched the AI.Humanity initiative to explore the societal impacts of artificial intelligence (AI) and influence its future development to serve humanity. Emory aims to be a leading advocate for ethical use of AI and a top destination for students and faculty seeking to understand and apply its transformative technologies. Read this blog post to learn how Emory uses Amazon Web Services (AWS) to support the computing needs of AI.Humanity.

Japan’s Mount Fuji is famous for its height and width but it’s also reachable by novice hikers without lots of time on their hands due to the nation’s efforts to make it accessible. Now, the researchers behind one of the world’s fastest supercomputers, Fugaku, which is another name for Mt. Fuji, are trying to make the supercomputer just as accessible on the Amazon Web Services (AWS) Cloud. Read this post to learn more.

Dr. Kevin Leyton-Brown and Neil Newman are computer scientists at the University of British Columbia (UBC) working at the intersection of artificial intelligence (AI) and microeconomic theory. Their research demands large-scale, high-performance computing, in episodic bursts, to run parallel simulations of complex auctions. When Leyton-Brown and Newman began research into the computationally complex auction theory behind the 2016 United States wireless spectrum auction, their ML models required significantly more computing power than their on-premises infrastructure could provide. The UBC team turned to RONIN, an AWS Partner, and the virtually unlimited infrastructure of the AWS Cloud, to accelerate their time to answers and new discoveries.

Ground-based, extremely large telescopes (ELTs), such as the Giant Magellan Telescope (GMT), will play a crucial role in modern astronomy by providing observations of the universe with remarkable clarity and detail. However, managing the vast amount of data generated by these instruments and supporting optimal performance can be a challenging task. AWS provides a suite of cloud-based solutions that can help address these challenges and streamline ELT operations. Learn how various AWS services can be used to optimize data storage, management, and processing, as well as advanced monitoring and remote continuity techniques, leading to improved overall performance and efficiency for ELTs.

According to a new IDC report, the cloud is helping researchers conduct research faster than ever before by reducing data analysis and processing times, and is allowing researchers around the world to collaborate on solving universal problems. In addition to the positive impact on research, IDC also forecasts that continued adoption of cloud computing globally could prevent environmental emission of more than 1 billion metric tons of CO2 from 2021 through 2024, almost equivalent to removing the 2020 CO2 emissions of Germany and the U.K. combined.

The AWS Cloud gives you access to virtually unlimited infrastructure suitable for high performance computing (HPC) workloads. With HPC, you can remove long queues and waiting times so you don’t have to choose availability over performance. In this technical guide, learn how to use AWS ParallelCluster to set up and manage an HPC cluster in a flexible, elastic, and repeatable way.

Nonprofits have found themselves thrust into a digital-first landscape, with an increasing demand for virtual or remote services for beneficiaries, donors, volunteers, and staff. During the COVID-19 pandemic, nonprofit organizations put forth tremendous effort to fill gaps unmet by the government and private sectors for our communities. Nonprofits have shown agility in their pivot to online events, remote service delivery, sharing of data and research, and more. To help nonprofits access the best-in-class tools provided by AWS, today we are launching the 2021 AWS Imagine Grant program. Guidelines and instructions on how to apply for this year’s cycle are available today.

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.

Governments, like the state government of California, are in the midst of a transition to a new way of delivering vital information, services and programs using technology and the cloud. Government organizations are adopting approaches pioneered in the technology industry, including user-centered design, agile development, data science, modular contracting, and the use of modern technology platforms. Many of these governments, like the state of California, are using Amazon Web Services (AWS) to respond quickly and scale to battle unprecedented challenges, like COVID-19, and help them quickly make decisions about how to protect their constituents.