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Kubernetes and HPC Applications in Hybrid Cloud Environments – Part II
March 19, 2020
With the rise of cloud services, CIOs are recognizing that applications, middleware, and infrastructure running in various compute environments need a common management and operating model. Maintaining different application and middleware stacks on-premises and in cloud environments, by possibly using different specialized infrastructure and application... Read more…
Democratization of HPC Part 4: Deep Learning for Fluid Flow Prediction in the Cloud
November 1, 2018
This is the fourth and final article demonstrating the growing acceptance of high-performance computing (HPC) in new user communities and application areas. In Read more…
Democratization of HPC Part 3: Ninth Graders Tap HPC in the Cloud to Design Flying Boats
October 18, 2018
This is the third in a series of articles demonstrating the growing acceptance of high-performance computing (HPC) in new user communities and application areas Read more…
Democratization of HPC Part 2: HPC in Personalized Non-invasive Clinical Treatment of Schizophrenia and Parkinson’s
October 4, 2018
This is the second in a series of articles demonstrating the growing acceptance of high-performance computing (HPC) in new user communities and application area Read more…
Dassault, NIMHANS, and UberCloud Foster Innovative Schizophrenia Treatment
March 29, 2018
In a series of challenging high performance computing applications in the life sciences, UberCloud’s HPC containers have been packaged recently with several scientific workflows and application data to simulate complex phenomena in human’s heart and brain. Read more…
Stanford University and UberCloud Achieve Breakthrough in Living Heart Simulations
September 21, 2017
Cardiac arrhythmia can be an undesirable and potentially lethal side effect of drugs. During this condition, the electrical activity of the heart turns chaotic, Read more…
Towards Ubiquitous HPC — Passing HPC into the hands of every engineer and scientist
January 7, 2016
Countless case studies demonstrate impressively the importance of HPC for engineering and scientific insight, product innovation, and market competitiveness. Bu Read more…
UberCloud Marketplace for HPC as a Service Goes Live
January 29, 2014
UberCloud is the online community and marketplace where engineers and scientists can discover, try and buy the computing power and expertise on demand they need Read more…
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Whitepaper
A New Standard in CAE Solutions for Manufacturing
Today, manufacturers of all sizes face many challenges. Not only do they need to deliver complex products quickly, they must do so with limited resources while continuously innovating and improving product quality. With the use of computer-aided engineering (CAE), engineers can design and test ideas for new products without having to physically build many expensive prototypes. This helps lower costs, enhance productivity, improve quality, and reduce time to market.
As the scale and scope of CAE grows, manufacturers need reliable partners with deep HPC and manufacturing expertise. Together with AMD, HPE provides a comprehensive portfolio of high performance systems and software, high value services, and an outstanding ecosystem of performance optimized CAE applications to help manufacturing customers reduce costs and improve quality, productivity, and time to market.
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Sponsored by HPE
Whitepaper
Porting CUDA Applications to Run on AMD GPUs
A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.
This paper describes how Quanta Cloud Technology (QCT), a long-time Intel® partner, developed the Taiwania 2 and Taiwania 3 supercomputers to meet the research needs of the Taiwan’s academic, industrial, and enterprise users. The Taiwan National Center for High-Performance Computing (NCHC) selected QCT for their expertise in building HPC/AI supercomputers and providing worldwide end-to-end support for solutions from system design, through integration, benchmarking and installation for end users and system integrators to ensure customer success.
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