November 14, 2005
Sun Microsystems Inc.
announced the opening of its Sun Solution Center for High
Performance Computing (HPC), a cutting-edge facility located in
Hillsboro, Ore., that is designed to make HPC practical and attainable
for a wide array of customers and partners.
The facility offers
customers access to world-class scientists and algorithm experts who
specialize in developing and deploying large-scale HPC solutions based
on best practices, and also provides them access to some of the
highest-performance storage, x64 (x86, 64-bit) and SPARC
processor-based systems on the planet. In this unique environment,
customers and partners will also have an option of deploying and
running their applications on a variety of environments, including the
Solaris 10 Operating System (OS), and standard distributions of
Linux and Windows. The facility and HPC experts can help customers
build and achieve large-scale HPC clusters and data centers as they
experiment, benchmark, test and optimize scalable Grid-based
applications suitable for industries such as energy, manufacturing,
life sciences, education and research.
"Today's announcement marks another milestone in delivering
solutions for HPC and supercomputing. By leveraging Sun's decades of
innovation and expertise, customers can use the Sun Solution Center for
HPC to quickly and cost-effectively deploy large-scale cluster systems.
In addition, the power efficiency of our Sun Fire servers powered
with SPARC and AMD Opteron processors help make large-scale
computing a viable option for many customers. With the recent
acquisition of StorageTek, we hope to feature StorageTek products in
the lab soon," said John Fowler, executive vice president of the Network
Systems Group at Sun Microsystems. "As HPC capabilities grow from
TeraFLOPS today, to PetaFLOPS in the near future, Sun's world-class
technologies and the growth of the Sun Solution Center for HPC can help
our customers innovate and lead in this market."
As HPC is becoming more mainstream, Sun recognizes that HPC is not
just an esoteric style of computing. In fact, the Sun Solution Center
for HPC, open for business today, allows customers and partners from
the business and scientific worlds alike to come test and tune their
applications. When customers visit the Sun Solution Center for HPC,
they will be assisted by experts in the HPC field who have over 200
years of combined experience.
Customers such as Aachen University and Clemson University plan to
use the new facility for testing upcoming HPC projects. "With the new
Sun Solution Center for HPC we can test and tune our Grid-based
applications, leveraging the highest-performance x64 servers in the
market," said Jim Leylek, director and professor of mechanical
engineering for the Advanced Computational Research Laboratory (ACRL) at Clemson
University. "Through its high-performance, low-cost and easy-to-deploy
offerings, Sun is making HPC production ready and accessible."
The Sun Solution Center for HPC also acts as a Proof-of-Concept facility where customers and partners can simulate their
environment by testing and fine-tuning their specific applications to
achieve optimal performance. Customers can test and collaborate on HPC
solutions through a Grid infrastructure, using Grid-based technologies
such as the award-winning Sun N1 Grid Engine and Sun N1 System
Manager software for systems management.
A key to the development of the Sun Solution Center for HPC is Sun's
powerful and strategic partnerships with AMD, the developer of the AMD
Opteron processor, and SilverStorm Technologies, the provider of the center's InfiniBand cluster.
"Collaborating with innovative companies such as Sun to develop
state-of-the-art solutions that can later be deployed in more general
compute environments is at the heart of what AMD does," said Ben
Williams, vice president of commercial business at AMD. "Sun's HPC
technologies are making headway in the commercial market for their
ability to help companies accelerate time-to-solution, design superior
products and reduce costs. Together, Sun and AMD can offer customers
leading-edge technology like AMD's revolutionary Direct Connect
Architecture and industry-leading performance-per-watt, providing
cost-effective, high-performance solutions to IT environments today."
As the need for computational power grows, scientists, researchers
and engineers need to run simulations that require thousands of times
more compute power than current systems deliver. Today, one of the most
cost-effective ways to meet this need is with clusters of systems, such
as Sun's Terascale clusters, with up to many thousands of compute
nodes. As managing large-scale clusters can be extremely challenging to
deploy, operate effectively, power and cool, the Sun Solution Center
for HPC plans to provide support for customers deploying large-scale
compute cluster environments, and offer them the opportunity to test
their applications and achieve optimal performance.
The facility's computing infrastructure was built using a unique building-block approach through Sun's Customer Ready Systems program, which customers can leverage to deploy their own large-scale HPC environments. With immense compute capacity that offers leading price/performance and power efficiency, the Sun Solution Center for HPC demonstrates Sun's investment and drive to accelerate Sun's growth in the HPC market. It runs more than 600 high-performance and energy-efficient Sun Fire x64 multi-core available servers powered by AMD Opteron processors with over 100TB of SunStorEdge Arrays. An equivalent center running Intel Xeon or Itanium processor-based servers could result in annual power-cooling costs of up to 15 percent higher for Xeon processor-based servers and up to 64 percent higher for Itanium processor-based servers.
Jun 19, 2013 |
Ruan Pethiyagoda, Cameron Boehmer, John S. Dvorak, and Tim Sze, trained at San Francisco’s Hack Reactor, an institute designed for intense fast paced learning of programming, put together a program based on the N-Queens algorithm designed by the University of Cambridge’s Martin Richards, and modified it to run in parallel across multiple machines.
Jun 17, 2013 |
With that in mind, Datapipe hopes to establish themselves as a green-savvy HPC cloud provider with their recently announced Stratosphere platform. Datapipe markets Stratosphere as a green HPC cloud service and in doing so partnering with Verne Global and their Icelandic datacenter, which is known for its propensity in green computing.
Jun 12, 2013 |
Cloud computing is gaining ground in utilization by mid-sized institutions who are looking to expand their experimental high performance computing resources. As such, IBM released what they call Redbooks, in part to assist institutions’ movement of high performance computing applications to the cloud.
Jun 06, 2013 |
The San Diego Supercomputer Center launched a public cloud system for universities in the area designed specifically to run on commodity hardware with high performance solid-state drives. The center, which currently holds 5.5 PB of raw storage, is open to educational and research users in the University of California.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.