Welcome to my blog!
Bruce Berriman is an astronomer and computer scientist at the Infrared Processing and Analysis Center, California Institute of Technology.-
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- New Astronomy Projects Take Up The Virtual Observatory
- Software Carpentry Boot Camps: Software Engineering Training For Scientists
- How To Use Cloud Computing To Do Astronomy
- NIRC2 Data Released Through the Keck Observatory Archive
- Astrocompute on Vacation!
- NSF Leads Federal Efforts In Big Data – Webcast
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Blog: AstroCompute Topics:Astronomy, Science, Computers
Category Archives: GPU’s
Astronomical Data Analysis Software and Systems XXI
This annual, international software conference was held in Paris, France, from November 6 through 11, and was attended by roughly 300 people. This year’s topics were: GPUs in Astronomy and Beyond Cloud Computing and Virtualization Statistical Data Analysis and Knowledge … Continue reading
Posted in archives, astroinformatics, Astronomy, Cloud computing, cyberinfrastructure, data archives, Data Management, GPU's, Grid Computing, High performance computing, information sharing, Parallelization, programming, software engineering, softwarte sustainability, TeraGrid, Time domain astronomy
Tagged astroinformatics, astronomy, cloud computing, computing, cyberinfrastructure, exoplanet, high-performance computing, information sharing, parallelization, scientific computing, software, software maintenance, software sustainability, TeraGrid
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The “Innovations in Data Intensive Astronomy” Workshop
This week, I attended the “Innovations in Data Intensive Astronomy” Workshop, hosted by NRAO at Green Bank, West Virginia. The workshop aimed to “.. encourage new ideas for the effective processing, analysis, and interpretation of Tera- to Peta-scale data sets … Continue reading
Posted in Astronomy, astronomy surveys, Cloud computing, cyberinfrastructure, data archives, Data Management, GPU's, High performance computing, image mosaics, information sharing, Parallelization, programming, software engineering, software maintenance, software sustainability, Time domain astronomy, time series data, visualization
Tagged astronomy, astronomy surveys, cloud computing, computing, cyberinfrastructure, data archives, high-performance computing, information sharing, Montage, parallelization, scientific computing, software, software maintenance, software sustainability, time domain astronomy, visualization
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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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