March 21, 2011
The GPU Technology Conference (GTC) which will be taking place October 11-14 in San Jose, has published its list of focus topics for the coming year’s event. In addition to some of the more predictable inclusions (CFD, ray tracing, visualization and the like) is cloud computing.
We were on site last year to cover the event and found a number of elements to discuss from the GPU cloud sphere. With the release of a great deal of news since that time (including Amazon’s announcement of its GPU-flavored instances) and a wealth of new GPU cloud case studies (which will be the subject of a feature later this week) there is little doubt that the cloud topic will be more robust.
Scanning through the list reveals that like last year, the focus areas include a number of application domains. For instance, data mining and business intelligence, bioinformatics, digital content creation and film and finance are all topics of interest.
These are not only valuable topics for attendees due to GPU acceleration on physical hardware consideations—a number of these areas are rife with case studies that use GPU-enabled clouds.
Again, there is a more in-depth exploration of what is happening with GPU-boosted clouds later in the week, but to lead up to that article (and to put the call out there for those who might be attending) the list alone provides a few hints at the role cloud computing will play in areas that are reliant on GPU computing.
GTC ’11 opened its call for “the best and brightest minds in GPU computing for four days of immersion in world-class scientific research and practices.” The organizers are currently looking for experts from industry and academia to present advancements in the field via speaking engagements and poster presentation opportunities.
It’s my hope that this year there will be more cloud computing-related additions to the session and poster lineup to provide a “case in point” about growing use cases for GPU clouds.
We have met a number of you at SC10 and other events and know some of you have compelling projects that tie the two. If you fall into that category, the deadline for submissions to present sessions at the conference is (a lot closer than it seems) May 3. For those with poster submissions the deadline is June 27.
Full story at NVIDIA / GTC2011
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.
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.
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.