Next Week // Scalable Cloud Analysis Workflows using Parallel Works

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Scalable Cloud Analysis Workflows

LiveThu Aug 18

Register to attend live or receive a recording.

https://attendee.gototraining.com/42b11/register/98599080297612290

High performance design is increasingly bolstered by high performance computation. From whole building energy analysis to campus-wide pedestrian flow, sophisticated technologies can be used to understand the impact of design decisions. However, large-scale computation has traditionally been inaccessible due to cost and administrative constraints. The Parallel Works solution removes these barriers, giving designers and engineers the tools to access and control powerful, scalable computational workflows via a simple web-based UI.

New technology from Argonne National Laboratory strips away simulation study complexities. The platform runs large-scale workflows on massive computing resources, delivering speed ups of 10-1,000x by automatically running iterative simulation executions in parallel. With an intuitive web-based UI, the platform is available across firms, geographies and around the clock. You will learn how this technology can be applied in the studio. Parallel Works will demonstrate how to build powerful simulation workflow tools, including parameter sweeps and optimization studies, including energy modeling, ray tracing, urban comfort and airflow.

Presenters

Matthew Shaxted - co-founder & President, Parallel Works - Chicago, IL - https://www.parallelworks.com/
Matthew is passionate about the intersection of parallel computation, design and the built environment. A civil engineer by training, Matthew was a computational designer at SOM prior to launching Parallel Works.

Michael Wilde -- co-founder & CEO, Parallel Works -- Chicago, IL - https://www.parallelworks.com/
Mike is a computer scientist and software architect with over 30 years of software architect at Argonne National Laboratories and Senior Fellow at the University of Chicago Computation Institute. He is the lead software architect on the Swift Parallel Scripting language, and interfaces with a range of scientists and researchers to enable their studies on some of the largest supercomputers in the world.

Register to attend live or receive a recording.

https://attendee.gototraining.com/42b11/register/98599080297612290

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