December 06, 2004
Scientific Computing Associates Inc (SCAI), a commercial provider of parallel and distributed computing software, is releasing 4-processor versions of TCP Linda, free of charge, to celebrate the company's 25th Anniversary. This fully functional TCP Linda system, SCAI's flagship offering, available for download at www.lindaspaces.com, allows users to "parallelize" any program written in C using just a few commands.
TCP Linda, a proven industry standard for parallel programming, is well known for reliability, efficiency, cost-effectiveness and simplicity. TCP Linda is built on the original Linda, the revolutionary computer language that was the brainchild of famed Yale computer science professor, David Gelernter. TCP Linda's ease of use, as compared to other paradigms such as message passing, is the answer to today's need for more productive development time now that relatively inexpensive hardware has made distributed and Grid computing the programming environments of choice.
SCAI is also making available the complete Linda manual as well as the classic text, "How to Write Parallel Programs: A First Course." The text, written by Gelernter and Nicholas Carriero, presents a framework for parallel programming based on the Linda tuplespace concept.
"Productivity and efficiency are the goals now that parallel processing has moved into the mainstream of computing," said Gelernter, SCAI senior fellow. "Productivity and efficiency require parallel programming tools that are powerful but simple to use. Linda is the answer."
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.