PDF Industrial Applications of High Performance Computing: Best Global Practices

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Because they are not mass-market machines, procurement costs are high, and deployment is risky.

Industrial Applications of High-Performance Computing

Once harnessed, the technical aspects of these super slick computers become commoditized and costs decrease. There are certain scientific challenges that have to reach a certain threshold of scale to encompass the entire problem.


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Attempts at lesser scale are irrelevant. Large-scale supercomputers, therefore, are simply the only way to learn certain truths.

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Three diverse examples include star formation, stress testing macro economies, and determining the way in which water freezes at the molecular level. The freezing water case study is in the book, along with descriptions of its industrial impact. It is our hope that this book will aid in the understanding that collaboration is especially valuable and that national productivity and wealth are inextricably linked to industrial productivity. Recognizing the benefits of shared investments in supercomputing and the codependencies between public and private sectors, as well as among nations, places a burden and an opportunity on the shoulders of the supercomputing community.

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This blog contains excerpts from the book. The book may also be ordered on Amazon. Toggle Navigation.

High Performance Computing for Advanced Manufacturing

Current rating: 5 1 2 3 4 5. In this paper, we present the functionalities of LiGenDock and its accompanying module LiGenPocket, aimed at the binding site analysis and structure-based pharmacophore definition. We also report the optimization procedure we have carried out to improve the cognate docking and virtual screening performance of LiGenDock. In particular, we applied the design of experiments DoE methodology to screen the set of user-adjustable parameters to identify those having the largest influence on the accuracy of the results.

Designing and optimizing applications for energy-efficient High Performance Computing systems up to the Exascale era is an extremely challenging problem. In particular, the modules of the ANTAREX toolbox are described as well as some preliminary results of the application to two target use cases. We show how simple strategies, not devised by typical compilers, can substantially speedup the execution and reduce energy consumption.

Key innovations of the project include the introduction of a separation of concerns between self-adaptivity strategies and application functionalities.

Head of Solution Architecture - AWS– High Performance Computing - Job ID: | edhydchego.gq

The DSL approach allows the definition of energy-efficiency, performance, and adaptivity strategies as well as their enforcement at runtime through application autotuning and resource and power management. HPC for Industry 4. Via Pietro Castellino, Napoli, Italy.

Email: support exscalate. Home Platform Ligen Tangible Marconi. Today Moonshot Research and Providentia Worldwide announced an agreement to jointly offer business and technical services and consulting in the areas of high-performance computing and big data services.

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Ryan Quick and Arno Kolster of Providentia Worldwide are pioneers in adopting a hybrid approach to analytics, using techniques and software typically deployed independently in cloud, enterprise and HPC workflows. Their adoption of HPC solutions for real-time fraud detection at PayPal was unconventional, yet proved to be the perfect solution for achieving extreme data ingestion rates and rapid machine-driven decision making.


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  • Notify me of follow-up comments by email. Notify me of new posts by email. In this special guest feature from Scientific Computing World, Gemma Church writes that the Oil and Gas market aims to use more simulation to ensure sound decision making s the world makes better use of renewable energy.