November 20, 2006
Altair Engineering Inc. has announced the public release of PBS Professional 8.0. This latest generation of Altair's workload management software provides enhanced functionality and support for new hardware platforms. The announcement was made at Supercomputing 2006 (SC06), the international conference for high-performance computing (HPC), networking, storage and analysis.
"Our PBS Professional 8.0 release is a major milestone for Altair," said Michael Humphrey, vice president of Altair's PBS GridWorks business unit. "We re-architected our software to address new trends in HPC, added a substantial number of customer-requested enhancements and continued our emphasis on tightly integrating with MPI libraries. Additionally, we expanded our quality assurance processes and beta program for this release, and produced an exceptionally high-quality release."
Major enhancements in PBS Professional 8.0 include:
"We participated in the PBS Professional 8.0 beta program and are excited about the new features and functionality," said Ghyslain Boisvert, site coordinator at the Universite of Montreal for RQCHP (Reseau Quebecois de Calcul de Haute Performance [Quebec High-Performance Computing Network]), a consortium of several institutions in the province of Quebec, Canada. "There are significant enhancements in the new version, and getting an early look at 8.0 has been most helpful in planning upgrades for our HPC systems."
PBS Professional is an open workload management solution for HPC environments. The software maximizes the utilization of computing resources by intelligently scheduling and managing computational workload in a number of industries. By increasing the efficiency of the hardware and software resources, PBS Professional reduces total cost of ownership and provides value to grid computing customers.
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.