November 28, 2005
According to AMD executives, the Sunnyvale, Calif., chip maker is going to roll out a quad-core-capable processor family during 2007. The new core design will be similar to the core used by the company's Opteron and Athlon 64 processors, said Phil Hester, vice president and CTO at AMD, one of the executives who took the stage at the company's headquarters during its annual analyst conference.
The quad-capable family will include a range of processors, including offerings targeted to desktops, notebooks and one for servers that can fit into machines with as many as 32 processors. The new processor family will incorporate four cores connected together by a new version of the HyperTransport interconnect technology (in 2008), and will support DDR3 memory.
The server version of this chip will add a third level of cache memory to AMD's processors, allowing server designers to build systems with 16 and 32 processors, Hester said. Currently, AMD customers are limited to building eight-processor Opteron servers because of the difficulty inherent in coordinating cache memory requests within multiprocessor servers.
AMD also intends to focus on compiler and software technology to help transition applications to its multi-core architecture. AMD will work with OS and application vendors to develop enhancements to their software that exploits AMD's technology.AMD also confirmed that the Opteron CPUs will incorporate the Pacifica virtualization technology sometime next year. This virtualization technology will enable greater software flexibility, such as the capability to run multiple operating systems in separate partitions on a single processor.
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.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
In this week's hand-picked assortment, researchers explore the path to more energy-efficient cloud datacenters, investigate new frameworks and runtime environments that are compatible with Windows Azure, and design a uniﬁed programming model for diverse data-intensive cloud computing paradigms.
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.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
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.