December 12, 2005
BEA Systems Inc. announced
that its JRockit JVM (Java Virtual Machine) has set another record,
by netting a SPECjbb2000 benchmark result of 861,647 operations per
The result, published last week by SPEC, a non-profit organization
that maintains and endorses standardized benchmarks, was achieved using
a Fujitsu PRIMEQUEST 480 server with 32 Intel Itanium 2
processors and the JRockit JVM 5.0. The result was the best 32-way
score on non-SMT/HT hardware. It was also better than any result
produced by Sun's HotSpot JVM on a machine of the same configuration.
"Data center administrators are constantly looking for ways to
increase performance while simultaneously driving down costs, and one
key component in that struggle is deploying the best JVM," said Guy
Churchward, general manager of the Java Runtime Products Group (JRPG) at BEA
JRockit, proven to be the fastest JVM on Intel Xeon and
Intel Itanium2 processors, is also designed to provide
interoperability across multiple hardware and operating system
configurations. JRockit can help make it possible to gain optimal
performance for Java applications deployed on 32- bit or 64-bit
architectures of both the Microsoft Windows and Linux operating system
"We have collaborated actively with BEA for years to ensure their
software is optimized down to the JVM-level to take full advantage of
our processor architectures," said Shannon Poulin, enterprise platform
marketing director at Intel. "The result of this ongoing collaboration
a fast and robust infrastructure platform that is designed to allow IT
departments to be more responsive to the needs of their businesses and
provide an ideal foundation for service-oriented architectures."
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
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.