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Bruce Berriman is an astronomer and computer scientist at the Infrared Processing and Analysis Center, California Institute of Technology.-
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Blog: AstroCompute Topics:Astronomy, Science, Computers
Monthly Archives: April 2011
Choosing a File System on Amazon EC2 – Part 2
In the last post, we looked at the performance and cost of data sharing options on the Amazon EC2, for one workflow: a mosaic of images of M17 computed with the Montage image mosaic engine, an I/O-bound application. Here we … Continue reading
Posted in astroinformatics, Astronomy, Cloud computing, cyberinfrastructure, High performance computing, image mosaics, information sharing, Parallelization, programming, software engineering
Tagged astroinformatics, astronomy, cloud computing, computing, cyberinfrastructure, high-performance computing, information sharing, Montage, parallelization, scientific computing, software, software maintenance
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Choosing A File System When Running Applications on the Amazon EC2 Cloud
The cloud provides a powerful environment for running workflow applications, which communicate data between tasks using files. The processing environment must provide access to files, either through a shared file system or by transferring data between nodes. Amazon EC2 provides … Continue reading
Posted in astroinformatics, Astronomy, Cloud computing, cyberinfrastructure, Data Management, High performance computing, image mosaics, information sharing, jobs, Parallelization, programming, software engineering
Tagged astroinformatics, astronomy, astronomy surveys, cloud computing, computing, cyberinfrastructure, high-performance computing, information sharing, Montage, parallelization, scientific computing, software, software maintenance, software sustainability
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GPU’s vs. CPU’s: Apples vs. Oranges?
This will be the last of three posts on processing with GPU’s. Jan Zverina and Peter Varhol wrote a couple of interesting articles on the applicability of GPU’s and CPU’s in scientific data processing. They made a convincing case that … Continue reading
Posted in astroinformatics, computer videos, cyberinfrastructure, Data Management, GPU's, High performance computing, information sharing, Parallelization, programming, software engineering, software maintenance, software sustainability
Tagged astroinformatics, computer videos, computing, cyberinfrastructure, high-performance computing, information sharing, parallelization, scientific computing, software, software maintenance, software sustainability
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GPU’s in Astronomy: Critical Decisions for Early Adopters
Following on from last week’s post about Graphical Processing Units (GPU’s), I have been reading another paper by the same team from the Center for Astrophysics and Supercomputing, Swinburne University of Technology in Australia. This paper, Fluke et al. (2011), … Continue reading
Posted in astroinformatics, Astronomy, cyberinfrastructure, GPU's, High performance computing, information sharing, Parallelization, programming, software engineering, software maintenance, software sustainability
Tagged astroinformatics, astronomy, computing, cyberinfrastructure, high-performance computing, information sharing, parallelization, scientific computing, software, software maintenance, software sustainability
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The Use of Graphical Processing Units (GPU’s) In Astronomy
Graphical Processing Units (GPU’s) were designed in the first instance to handle graphics intensive applications. Their design is radically different from the Central Processing Units that power computers. Whereas a modern CPU has several cores, allowing small-scale parallelisation, a GPU … Continue reading
Posted in Astronomy, cyberinfrastructure, GPU's, High performance computing, Parallelization, programming, software engineering, software maintenance
Tagged astronomy, computing, education, GPU's, high-performance computing, parallelization, scientific computing, software, software maintenance, software sustainability
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