December 15, 2008
NEW YORK, Dec. 15 -- GigaSpaces Technologies today announced the availability of GigaSpaces' eXtreme Application Platform (XAP) for MySQL Enterprise, addressing the scalability and performance needs of demanding MySQL Enterprise customers. Applications running on the combined platform leverage linear scalability, continuous availability, guaranteed persistence and scale-out architecture optimal for cloud and virtualized environments.
The solution introduces GigaSpaces transactional and reliable in-memory data grid as a front-end to the database. Essentially, all updates and queries are handled by the distributed data grid while the database remains in sync. Enterprise-grade requirements are met with a robust, read-write, transactional distributed cache. Complex in-memory data manipulation is easily achieved through Java technologies, .Net and C++ code, or SQL queries.
"Several GigaSpaces customers are already using Sun's MySQL Enterprise with GigaSpaces eXtreme Application Platform (XAP). Among them are leaders in the financial services industry, in online gaming, as well as Web 2.0 customers using GigaSpaces and MySQL on public clouds such as Amazon's EC2," said Amnon Raviv, senior director of Strategic Alliances from GigaSpaces.
"Together with partners, MySQL keeps pushing the limits of performance and scalability for the web economy," said Nicolas Pujol, head of MySQL World Wide Alliances and Channels at Sun Microsystems. "We are pleased that GigaSpaces is offering our customers a solution based on their eXtreme Application Platform and MySQL Enterprise to help them continue to scale-out their infrastructure cost-effectively."
GigaSpaces XAP is a next-generation application server built for today's most demanding enterprise and Web applications. Unlike traditional application servers, GigaSpaces XAP enables predictable application scalability on-demand. XAP allows businesses and developers to predictably scale systems under any peak demand, guarantee performance under any data processing load, and seamlessly leverage the economies-of-scale offered by virtual computing environments such as clouds and grids.
For more information regarding the MySQL and GigaSpaces integrated solution, visit http://www.gigaspaces.com/mysql.
GigaSpaces Technologies is a leading provider of a new generation of application platforms for Java and .Net environments that offer an alternative to traditional application-servers. The company's eXtreme Application Platform (XAP) allows businesses and developers to predictably scale systems under any peak demand, guarantee performance under any data processing load, and seamlessly leverage the economies-of-scale offered by virtual computing environments such as clouds and grids. XAP leverages open-source and standard development frameworks to speed new application development and simplify migration of existing systems from traditional middleware and application server technologies to new virtual computing architectures. GigaSpaces customers include six of the world's top 10 investment banks, world-leading exchanges, market data providers, hedge funds, retail banks, leading international and US telecommunications and mobile carriers, global Web-commerce companies, five of the world's top online gaming companies, and leading Internet media organizations. GigaSpaces was founded in 2000 and has offices in the US, Europe and Asia. For more information, visit http://www.gigaspaces.com, the company's open-source community portal or the company's blog at http://blog.gigaspaces.com/.
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.