DCV was originally created for scientists and engineers who run thing on supercomputers. They needed to visualize massive datasets produced by really large compute workloads crunching petabytes of data. That takes some fast machines and …
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Our AWS Batch development team have been working on some major improvements to the way Batch assesses the need to scale up or down. We’re doing 5x as many scaling evaluations per hour now which should pick up the pace significantly. With …
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At the AWS Center for Quantum Computing, we are doing scientific research and development on quantum computing algorithms and hardware. This post summarizes findings from our first architecture paper that describes a theoretical blueprint …
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While quantum computing continues to advance through scientific discovery and engineering innovation, the field still faces formidable challenges. Collaboration between industry and academia for quantum computing research is important. …
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We just published a blog post last week with a deep dive into what makes GROMACS tick. The blog post talked about software stacks and EC2 instances that will deliver the best possible performance for people trying to do some molecular …
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Large-scale data analysis usually involves some multi-step process where the output of one job acts as the input of subsequent jobs. Customers using AWS Batch for data analysis want a simple and performant storage solution to share with and …
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Christian Kniep (our senior developer relations engineer) from HPC Engineering is back to finish the conversation we started about containers in HPC. Christian is leading the cause for containerization in HPC, and helping our engineering …
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Molecular dynamics (MD) is a simulation method for analyzing the movement and tracing trajectories of atoms and molecules where the dynamics of a system evolve over time. MD simulations are used across various domains such as material …
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