insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data (Part 3)

This insideHPC technology guide, “insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data,” discusses how organizations need to adopt a Fusion Computing Model to meet the needs of processing, analyzing, and storing the data to no longer be static. Fusion computing provides a reference architecture with multiple configurations. “We went back to evaluate the first principles of why we store and move data. The Fusion Computing Model looks at a broader integration of capabilities to put agility back at the data center model.”

insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data (Part 2)

This insideHPC technology guide, “insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data,” discusses how organizations need to adopt a Fusion Computing Model to meet the needs of processing, analyzing, and storing the data to no longer be static. Fusion computing provides a reference architecture with multiple configurations. “We went back to evaluate the first principles of why we store and move data. The Fusion Computing Model looks at a  broader integration of capabilities to put agility back at the data center model.”

insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data

This insideHPC technology guide, insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data, discusses how organizations need to adopt a Fusion Computing Model to meet the needs of processing, analyzing, and storing the data to no longer be static.

insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data

This insideHPC technology guide discusses how organizations need to adopt a Fusion Computing Model to meet the needs of processing, analyzing, and storing the data to no longer be static. This guide (i) provides an overview of the Fusion Computing Model; (ii) describes how Seagate Technology PLC (Seagate) and Intel Corporation technologies can meet fusion […]

Panasas PanFS 8: Architectural Overview

The PanFS® parallel file system delivers the highest performance among competitive HPC storage systems at any capacity, and takes the complexity and unreliability of typical high-performance computing (HPC) storage systems off your hands, and it does so using commodity hardware at competitive price points. In this white paper, we’re going to take a “breadth-first” tour of the architecture of PanFS, looking at its key components then diving deep into the main benefits.

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

Architectural Properties for HPC

High Performance computer systems can be regarded as the most powerful and flexible research instruments today. They are employed to model phenomena in fields so various as climatology, quantum chemistry, computational medicine, High-Energy Physics and many, many other areas.