Collaboration is a hallmark of research and education, especially at Umea University, where a unique collaborative effort has led to the development and implementation of Akka, the fastest Windows-based system in Europe.
No matter where you are located in the world, IBM has an HPC cluster solution that is easy to deploy. Learn how IBM can help you reduce the risk and manage growth more easily with the pre-tested, easy-to-deply, easy-to-manage IBM Cluster 1350 solution, and how when combined with Windows HPC Server 2008 you can leverage your current Windows server expertise to accelerate your time to insight on computational analysis.
Quad-Core Intel Xeon processor 5400 series help provide your data center or business with the perform- ance headroom needed to confidently consolidate applications onto fewer systems using proven virtualization solutions or the compute power necessary for high-performance computing applications and workstation solutions.
With the iDataPlex, a new system design that leverages industry‐standard processors to address the needs of next generation data centers, IBM plans to extend current HPC cluster solutions by providing an economical architecture that can increase computing density in a standard enterprise rack and scale‐out to 1000s of racks.
Intel has delivered on "Moore's Law" using dual-core processing to build a 128-node High-Performance Computing (HPC) cluster that delivers theoretical peak performance of 3.2 teraflops and sustained performance of over 2.1 teraflops. Based on off-the-shelf technologies, including the next-generation dual-core Intel Xeon processor and an InfiniBand interconnect, the cluster represents a new era that rapidly increases performance while reducing or holding steady the requirements for power, heat and floor space. Industry collaborators and end-users can access the machine through the Intel Remote Access Service and use it to test-drive their codes and accelerate their move to Intel multi-core computing.
It takes a comprehensive strategy to scale high performance computing (HPC) capabilities, while simultaneously containing power and cooling costs. New Dual-Core Intel Xeon and Intel Itanium processor-based servers offer a critical new resource, delivering dramatic increases in performance, price/performance and energy-efficiency across a broad range of HPC applications. Read about this and other Intel advances that can help you increase density, reduce costs and scale capacity in your existing facilities.
This paper explores the market adoption of and customer value proposition and adoption plans for the Quad-Core Intel Xeon processor 5300 series since its market introduction in 2006, focusing on workloads that are designed to run on multicore and multisocket platforms. In addition to discussing the range of workloads, IDC has interviewed customers who are adopting the Quad-Core Intel Xeon processor 5300 series to learn about the IT requirements that they are addressing and the deployment patterns found in those sites.
This document presents a comparative analysis of the performance of LS-DYNA, a finite element analysis application, using two interconnect and fabric technologies: Gigabit Ethernet and Cisco InfiniBand.
The InfiniBand standard supports single, double, and quadruple data rate that enables an InfiniBand link to transmit more data. This paper discusses the characteristics of single data rate (SDR), double data rate (DDR), and quad data rate (QDR) InfiniBand transmission with respect to performance, transmission distances, and cabling considerations.
Traditionally, parallel applications have run on monolithic supercomputers that have been prohibitively expensive for many companies to acquire and operate. A recent development that uses much the same principles as traditional supercomputers are HPC clusters. HPC clusters are made up of multiple, sometimes many thousands, of industry standard computers that use cluster software and high-performance network interconnects to run parallel applications at a fraction of the cost of traditional supercomputers.
Over the last 40 years, the use of Computer Aided Engineering (CAE) has increased by several orders of magnitude in industry and research laboratories, largely due to the impressive advances in computing architectures as well as in the algorithmic techniques created to exploit these architectures. Each major innovation in the computing industry has directly enabled CAE practitioners to solve more realistic and complex engineering design and simulation problems, resulting in better products faster. This investment by the community in adapting CAE applications to take advantage of newer computing architectures has paid off handsomely.
The organization faced several major challenges in providing IT resources for high-throughput biomedical research, including providing high-performance computing capabilities that allow TGen's scientists to analyze large volumes of complex data very quickly.