December 04, 2012
VMware and EMC spinoff rumors, which came to light back in July, are now official. Earlier today, Terry Anderson, VP of Global Corporate Communications at VMware published a blog entry announcing that the companies' non-core cloud assets would be combined as part of the newly formed Pivotal Initiative.
"VMware and EMC are committing key existing technology, people and programs from both companies focused on Big Data and Cloud Application Platforms under one virtual organization – the Pivotal Initiative," writes Anderson.
The new organization will include "most employees and resources currently working within EMC's Greenplum and Pivotal Labs organizations, VMware's vFabric (including Spring and Gemfire), Cloud Foundry and Cetas organizations as well as related efforts."
All told, approximately 600 employees from VMware and 800 employees from EMC will make the switch.
The new subsidiary will be led by Paul Maritz, Chief Strategy Officer for EMC, and former CEO of VMware. The companies expect to formalize the union by mid-2012, subject to regulations.
The companies' decision to create one uber-focused cloud and big data play speaks to the growing cloud market and the dominance of Amazon and first-run competitors, Google and Microsoft. All three vendors have doubled down on their cloud commitments in recent months; and on the open source side, there's a bevy of OpenStack (and CloudStack) based offerings chomping at their respective bits, as well.
The move will allow VMware to focus on its primary business, server virtualization and software-defined networking and could give EMC greater leverage on the cloud storage front. All in all, it's a good move, but will require expert direction and management to pull off.
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.
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.