December 11, 2006
GigaSpaces announced the availability
of GigaSpaces Version 5.2. GigaSpaces 5.2 is an implementation of
Space-based Architecture, a new model enabling end-to-end scalability
for low-latency, high-throughput applications, designed to remove
performance barriers inherent in traditional middleware technologies.
"With
GigaSpaces 5.2, we are delivering infrastructure software that allows
unlimited scalability while making application development and
maintenance simpler and faster than ever," said Nati Shalom, CTO,
GigaSpaces. "Because GigaSpaces eliminates the 'tyranny of tiers' that
traditional middleware imposes on applications, developers can write
highly-distributed, scalable, applications without impacting
performance or throughput. GigaSpaces is unique in transferring the
burden of application performance and scalability from developers to
the Grid infrastructure."
Enhancements to GigaSpaces Version 5.2:
- Write distributed applications as if interacting with a single server, while GigaSpaces handles the dynamic distribution, coordination and synchronization of the messaging, processing and data across the entire network; and,
- Deploy applications and services through a single deployment operation, achieving an SLA-driven solution for the entire application stack. This includes continuous availability, on-demand scalability and self-healing.
- POJO Oriented Services. Developers can develop distributed services and deploy them throughout the network writing simple POJOs.
- Running the business logic where the data is. Providing common infrastructure for real-time analytics and low latency transactional applications.
- POJO driven In-Memory Data Grid. GigaSpaces 5.2's end-to-end POJO support enables developers to continue writing their POJOs and, via a declarative approach, map the existing data model to an optimized data structure. This allows for efficient and granular query support and data distribution, in a similar fashion to models like Hibernate and JPA. In addition, using a built-in Hibernate support, developers can continue to leverage their existing mapping to relational databases, while gaining the performance benefit of In-Memory Data Grids
GigaSpaces Version 5.2 will be available by year end. At this time, fully functional 30-day trials of the Enterprise Edition will be available at the company's web site, http://www.gigaspaces.com. The Caching Edition will also be available for trial. Developers interested in this technology or who are using the Spring framework and wish to see the integration with GigaSpaces may download GigaSpaces Community Edition 5.2. Community Edition enables users to discover GigaSpaces' capabilities on a single node.
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.
Read more...
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).
Read more...
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.
Read more...
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.
Read more...
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.
Read more...
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.