May 23, 2012
FOSTER CITY, Calif., May 23 — Grid Dynamics, an eCommerce technology solutions company, and GridGain Systems, makers of the leading open source in-memory platform for big data processing, today announced the expansion of their partnership which began in 2008.
Grid Dynamics provides personalization and big data solutions for large-scale eCommerce companies, GridGain's Java based open source middleware platform allows organizations to perform real time processing and analytics on live big data.
"GridGain has always been an important component within the portfolio of technologies we use to build next-generation software products and platforms for our enterprise customers," says Victoria Livschitz, CEO of Grid Dynamics. "GridGain's mature in-memory compute and data grid platform can deliver analytics capabilities necessary to improve revenues and conversion rates for eCommerce companies far more effectively than traditional technologies."
"Grid Dynamics helps big companies turn technology into competitive differentiation and GridGain enables fast data processing and analysis of big data. There has always been a great synergy between us," says Nikita Ivanov, CEO and founder, GridGain Systems. "We are very pleased to further expand our partnership with Grid Dynamics and to be among the select software technologies and vendors they use to provide the very best solutions for their customers".
The stronger relationship between GridGain and Grid Dynamics will also help further efforts by both companies to evolve the OpenStack platform, an open-source cloud and IaaS (infrastructure as a service) stack, backed by leading tech firms including RackSpace, HP, Dell, Cisco, Internap, IBM and Red Hat.
About GridGain Systems
GridGain Systems' Java based open source middleware platform is designed to help compute and data intensive applications, systems and services to perform and scale. GridGain allows companies to utilize the processing power of one to thousands of servers, within minutes, enabling significantly faster processing and complex analytics on customers' live, big data. Every 10 seconds, an installation of GridGain is started somewhere around the globe. Our customers include innovative web and mobile businesses, leading Fortune 500 companies, and top government agencies. The company is headquartered in Foster City, California. Learn more at http://www.gridgain.com and follow GridGain on Twitter @gridgain.
About Grid Dynamics
Grid Dynamics delivers scalable eCommerce platform solutions to the world's most successful companies. Our mission is to help our customers attain business edge through technology. We deliver robust, open and scalable solutions that are essential to every successful eCommerce platform. For more information, visit http://www.griddynamics.com.
OpenStack is a large-scale open source cloud project and community established to drive industry standards, end cloud lock-in and speed the adoption of cloud technologies by service providers and enterprises. OpenStack was founded by Rackspace Hosting through its wholly owned subsidiary, OpenStack, LLC, and has the support of more than 35 technology industry leaders. For more information and to join the community, visit http://www.OpenStack.org.
Source: Grid Dynamics; GridGain Systems
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.