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Using AI to See What Eye Doctors Can’t

This white paper explains how Voxeleron, a leader in delivering advanced ophthalmic image analysis and machine learning solutions, is extending ophthalmology’s diagnostic horizons with image analysis based on artificial intelligence (AI) models, trained using Dell Precision workstations with NVIDIA GPUs.

UC San Diego Center for Microbiome Innovation Breaks Data Bottlenecks

In this compelling use case provided by our friends over at HPC storage solution provider Panasas, we look at how the UC San Diego Center for Microbiome Innovation (CMI) got around a number of hurdles by deploying a Panasas ActiveStor® high-performance storage solution.

insideHPC Dell Special Report – HPC and AI for the Era of Genomics

This white paper sponsored by Dell Technologies, takes a deep dive into HPC and AI for life sciences in the era of genomics. 2020 will be remembered for the outbreak of the Novel Coronavirus or COVID-19. While infection rates are growing exponentially, the race is on to find a treatment, vaccine, or cure. Governments and private  organizations are teaming together to understand the basic biology of the virus, its genetic code, to find  what can stop it.

Evolving Considerations for Data Storage in Life Sciences

The latest lab instruments are driving the need for powerful IT resources in the life sciences. Laboratory technologies are evolving rapidly. Download the new report from Quantum, to discover the latest for data storage in life sciences. 

Searching and Researching: DDN Solutions for Life Sciences

Bio and life sciences is the third-largest commercial vertical market segment for the use of HPC, including “biomedical research and development organizations in such areas as: pharmaceuticals, medical research, agriculture, environmental engineering, etc.”1 A great deal of additional usage of HPC for life sciences occurs at public-sector (academic and government) research labs, or even in other industries, such as an oil company pursuing research in bio fuels. To learn more download this white paper.

Research for New Technology Using Supercomputers

This paper presents our approach to research and development in relation to four applications in which utilization of simulations in super-large-scale computation systems is expected to serve useful purposes.

Science and Industry using Supercomputers

This paper is intended for people interested in High Performance Computing (HPC) in general, in the performance development of HPC systems from the beginning in the 1970s and, above all, in HPC applications in the past, today and tomorrow. Readers do not need to be supercomputer experts.

Weather and Ocean Modeling with Super Computers

The practical impact of weather, climate and ocean prediction on the world’s population and economy drives the usage of high performance computing (HPC) for earth system modeling. The socioeconomic impacts of improved predictive capabilities are well-recognized by scientists as well as government leaders. The earth’s environment plays an important role in shaping economies and infrastructures, and touches upon nearly every aspect of our daily lives, including recreational activities, food supplies and energy resources.

Energy Exploration with High Performance Computing

As energy exploration becomes increasingly challenging, oil and gas firms deploy ever more powerful computing and storage solutions to stay ahead.

Component Architecture for Scientific HPC

The Common Component Architecture (CCA) provides a means for software developers to manage the complexity of large-scale scientific simulations and to move toward a plug-and-play environment for high-performance com- puting. In the scientific computing context, component models also promote collaboration using independently developed software, thereby allowing particular individu- als or groups to focus on the aspects of greatest interest to them. The CCA supports parallel and distributed computing as well as local high-performance connections between components in a language-independent manner. The design places minimal requirements on components