January 23, 2013
SUNNYVALE, Calif., Jan. 23 – AMD today announced revenue for the fourth quarter of 2012 of $1.16 billion, an operating loss of $422 million, and a net loss of $473 million, or $0.63 per share. The company reported a non-GAAP operating loss of $55 million and a non-GAAP net loss of $102 million, or $0.14 per share.
For the year ended December 29, 2012, AMD reported revenue of $5.42 billion, an operating loss of $1.06 billion and a net loss of $1.18 billion, or $1.60 per share. The full year non-GAAP operating income was $45 million and non-GAAP net loss was $114 million, or $0.16 per share.
“AMD continues to evolve our operating model and diversify our product portfolio with the changing PC environment,” said Rory Read, AMD president and CEO. “Innovation is the core of our long-term growth. The investments we are making in technology today are focused on leveraging our distinctive IP to drive growth in ultra low power client devices, semi-custom SoCs and dense servers. We expect to deliver differentiated and groundbreaking APUs to our customers in 2013 and remain focused on transforming our operating model to the business realities of today.”
AMD’s outlook statements are based on current expectations. The following statements are forward-looking, and actual results could differ materially depending on market conditions.
AMD expects revenue to decrease 9 percent, plus or minus three percent, sequentially for the first quarter of 2013.
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 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.
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.