January 30, 2013
SAN FRANCISCO, Calif., Jan. 30 – SiSense and Microsoft Corp. announced today that they are working together to add Windows Azure to SiSense Cloud offer. By installing SiSense on Windows Azure, customers can enjoy the benefits of the company's software in the Cloud as they did on-premises.
SiSense has been serving customers in the Cloud via Amazon, and by adding Windows Azure to its global offer, the company will allow more companies to start crunching data in no time, without having to purchase or configure expensive hardware and software.
"Windows Azure gives customers a more secure and scalable cloud platform for building flexible solutions," said Eugene Saburi, General Manager, Server and Tools Marketing, Microsoft. "SiSense takes advantage of Windows Azure to provide a solution that works seamlessly on-premises and in the Cloud. Their approach helps make Big Data Analytics a reality for everyone."
"Big Data Analytics is too complicated," says Amit Bendov, SiSense CEO. "Customers have to buy dedicated hardware and hire technical teams to configure and administer their infrastructure. It can take months before users can draw value from their data. In an era where traditional solutions can take time to deploy and cost millions, SiSense aims to change the game and provide an affordable solution that works for all," he continues.
SiSense provides everything a business needs to succeed with Big Data Analytics. When deployed in the Cloud, SiSense solution, Prism, allows any business users to sign up for its service online and be up and running in no time, without having to worry about hardware architecture or configuration details.
The benefits of SiSense's offer include:
SiSense Prism is the industry's first solution to offer Big Data Analytics on-premises and in the Cloud, without requiring technical expertise, huge budgets or expensive hardware.
SiSense Prism provides everything a business needs to succeed with Big Data Analytics:
SiSense is democratizing Big Data Analytics by pioneering a new approach that enables organizations of all sizes to make sense of their data. Hundreds of companies, from startups to large enterprises, are choosing this approach over traditional solutions. SiSense Prism -- powered by Elasticube technology -- delivers unmatched simplicity, agility & value. With customers in 48 countries, including global brands like Target and Merck, SiSense was recently designated a company to watch by Information Management and its Prism 3 solution named by CRN a "Hot Product to See at Dreamforce."
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.