Tag: hpc

The seismic methods are the most common and effective ways for subsurface imaging to delineate and characterize oil and gas reservoirs. Seismic data are acquired in the field by deploying a seismic source (vibrator) that radiates elastic waves into the subsurface. The waves travel through the formations and are reflected back due to the variation […]

Grid simulations power various applications in the utility engineering value chain, from planning to operations. Driven by decarbonization, decentralization and digitization goals, utilities need these model-based simulations to be more detailed, accurate and faster than ever, while leveraging an increasing number of high-resolution grid measurements. This blog introduces some of the challenges associated with data-informed, […]

Introduction Chip design is not only compute and memory intensive, it also requires varying amounts of resource in different Integrated Circuit (IC) design phases: some frontend tools are single threaded and CPU bound, while backend tools rely on high performance storage and large memory. Fixed-size compute farms on-premises result in jobs waiting in queue for […]

Guest blog authored by Jack Tabaska and Ian Davis from the Bayer Crop Sciences team. At Bayer Crop Science we are applying modern genomic and data science methods to the challenges of global food production. Our research routinely produces enormous volumes of raw data that must be processed quickly and cost-effectively. Automated analysis pipelines (also […]

This blog was co-authored by Fabrice Schlegel, Senior Manager of Data Sciences at Amgen; Joao Alberto de Faria, Senior Associate Software Engineer at Amgen; Ammar Latif, Senior SA at AWS; and Pierre-Yves Aquilanti, Principal HPC Specialist SA at AWS. Amgen relies on computational modeling to gain insight into their biopharma processes. Modeling improves product designs through […]

This post was co-authored by Michael DeRan, Scientific Consultant at Diamond Age Data Science; Chris Friedline, Scientific Consultant at Diamond Age Data Science; Netsanet Gebremedhin, Scientific Consultant at Diamond Age Data Science (Computational Biologist at Parexel at time of publication); Jenna Lang, Specialist Solutions Architect at AWS; and Lee Pang, Principal Bioinformatics Architect at AWS.  […]

This post was co-written with Soufiane Matine, Senior Expert Architect at Société Générale and Thierry Wilmot, IT Managing Director at Société Générale. View the blog post in French. One of the many benefits of using the AWS Cloud is the ability to access resources on demand in seconds. That’s why many customers are using the […]

Introduction Welcome to our first Hi-Tech / Electronics blog post! This post begins a series of industry-focused blogs that present an AWS perspective and customer stories on how critical enterprise functions are being transformed using AWS. We are a globally distributed industry team, dedicated to helping customers around the world reinvent themselves, to accelerate their […]

The shift to a remote workforce has presented a number of challenges for all companies, including manufacturers. Secure access to sensitive data, potentially in large files, and requirements for high performance on-premises compute equipment for complex engineering workloads is making running engineering and business operations remotely difficult. Creo is a market-leading suite of desktop CAD/CAM/CAE […]