AWS HPC Blog
Simulating climate risk scenarios for the Amazon Rainforest
In this post, we discuss the “tipping point” problem, using HPC at a large scale to simulate the impact of deforestation to the risk of accelerating damage to the Amazon rainforest.
The benefits of computational chemistry for the circular economy
In this blog post, we’ll explore the benefits of computational chemistry for the circular economy, how it can help reduce waste, and describe the potential for new innovative materials.
Massively-scaling quantum chemistry to support a circular economy
As a part of AWS’s “Digital Technologies for a Circular Economy” initiative, we joined forces with Accenture, Intel and Good Chemistry to massively scale quantum chemistry simulations. This is the first and most complex step to discovering new pathways for PFAS destruction for a cleaner world.
Bridging research and HPC to tackle grand challenges
Today we announced the AWS Impact Computing Project at the Harvard Data Science Initiative (HDSI) to identify potential solutions that can improve the lives of humans, other species, and natural ecosystems. Deb Goldfarb describes its goals and our joint vision.
Supporting climate model simulations to accelerate climate science
The Amazon Sustainability Data Initiative (ASDI), AWS is donating cloud resources, technical support, and access to scalable infrastructure and fast networking providing high performance computing solutions to support simulations of near-term climate using the National Center for Atmospheric Research (NCAR) Community Earth System Model Version 2 (CESM2) and its Whole Atmosphere Community Climate Model (WACCM). In collaboration with ASDI, AWS, and SilverLining, a nonprofit dedicated to ensuring a safe climate, the National Center for Atmospheric Research (NCAR) will run an ensemble of 30 climate-model simulations on AWS. The climate runs will simulate the Earth system over the period of years 2022-2070 under a median scenario for warming and make them available through the AWS Open Data Program. The simulation work will demonstrate the ability to use cloud infrastructure to advance climate models in support of robust scientific studies by researchers around the world and aims to accelerate and democratize climate science.