Did you know that some of Einstein's physics calculations are well over 20 pages long? Modern researchers in the field of physics have long struggled with how to do complex calculations in less time. Now researchers at the University of Massachusetts (UMass) Dartmouth report that they have been able to reduce the amount of time spent on physics calculations using IBM hardware. The UMass Dartmouth Physics department recently completed research proving POWER7 is 8x faster over Intel Xeon Harpertown and 5x over Intel Xeon Nehalem. Calculations that used to take a month to run now take less than a week. The resulting enhancements in time to perform calculations greatly speed the progress of their physics research on black holes. If only Einstein had a POWER7, just think what might have been?
IBM Smarter Computing Blog
Mary Hall 0600011C92 firstname.lastname@example.org Tags:  black processes business power7 calculations physics hardware speed up storage cost ibm savings research hole roi 2,594 Visits
Watch this video to listen to Dr. Gaurav Khanna tell the story of how IBM technology has increased the speed of his research.
Mary Hall 0600011C92 email@example.com Tags:  efficiency bm storwize hardware ibm business v7000 storage 1,573 Visits
Last week IBM made news by announcing innovative new storage systems that are optimized for workloads such as transaction processing and real-time analytics, reflecting the company's $6 billion annual investment in R&D.
Among the new products is a midrange disk storage system, called the IBM Storwize V7000, designed to efficiently and cost effectively manage the torrent of data flowing into companies so it can be swiftly delivered for such workloads as transaction processing -- like the growing volume of transactions completed from the Web and mobile and embedded devices. The new announcements include technologies that can eliminate the need to repeatedly make copies of the same data; scale-out storage technologies to support growth -- particularly of unstructured data like video and photos -- and high-performance workloads like cloud computing; and technologies to place the most critical data on fast, dynamic storage devices so it can be more quickly made available for workloads like analytics and mobile transaction processing. Examples include:
The IBM Storwize V7000 system further demonstrates that IBM is sharing its most innovative storage technologies across its portfolio. For example, the system includes a graphical user interface (GUI) modeled after the popular XIV user interface designed to significantly reduce system set up and administration; Easy Tier software; and industry-leading storage virtualization software that has been shown to double productivity (5).
IBM also introduced a range of other storage products, including:
"Organizations are struggling with the volume and evolving nature of the data they're already collecting. The IBM Storwize V7000 will deliver clients a new level of storage efficiency that can help them better store and secure their data," said Brian Truskowski, general manager of IBM storage. "IBM is combining home-grown storage innovations like our Easy Tier technology together with acquisitions of industry leading storage technologies such as XIV to deliver our clients a truly unmatched portfolio of storage solutions."
For more information, listen to the webcast replay on the announcements.
Mary Hall 0600011C92 firstname.lastname@example.org Tags:  recovery back-up planning disaster business resilency 2,505 Visits
Save the Date: July 19th Disaster Recovery and Business Resiliency Solutions Webcast
Given the recent natural disasters that have hit the U.S. and the world, it is essential for clients to have a robust business resiliency strategy. Planning in advance helps to reduce the impact of systems outages arising due to large scale disasters. One way to get ahead of disasters, before they strike, is to replicate business critical data across multiple sites with automation for remote locations. This applies to businesses of any size with multiple sites, regional operations or wherever decentralization of data is desired.
IBM will be hosting a Disaster Recovery and Business Resiliency Solutions web event to help you plan for disasters in a preventative, rather than reactive way. This webcast will included a customer case study from Dick Cosby Senior System Administrator, EDPS.
Register for this event on July 19th at noon EST, 9 am PST.
This program is designed to help organizations that:
1) Have no existing Disaster Recovery (DR) strategy in place
2) Are worried about recent natural disasters and if their current DR strategy and hardware in place is effective enough
3) Have multiple data centers and looking for assistance in design and implementation of business resiliency solutions.
In this session attendees will learn about:
It has been said that if you can't measure it, you can't manage it. Developing a centralized business analytics infrastructure that is highly reliable and secure can save money and increase productivity. It's a fact that business analytics can provide the insight users need to make adjustments, prevent slowdowns and enhance business effectiveness.
Download the white paper, Clabby Analytics/Enterprise Computing Advisors: Choosing IBM zEnterprise for Next Gen Business Analytics Applications from independent analysts Brad Day of Enterprise Computing Advisors and Joe Clabby of Clabby Analytics to learn:
If you missed IBM at the recent Information on Demand show (IOD 2012), then you'll want to read this complimentary paper. The IBM Smart Analytics System 9700 / 9710 generated a lot of interest with our customers at IOD after it was announced on October 12th in conjunction with the IBM DB2 Analytics Accelerator. This new version of the IBM Smart Analytics System has been completely refreshed to create the ultimate transactional analytics workhorse. It is hybrid ready to provide a single transactional and deep analytics server when combined with the DB2 Analytics Accelerator. With the 9710 model it provides a starter configuration, at an extremely attractive price point, allowing them to start small with low risk and grow their analytics environments incrementally.