reproduciblescience.blogspot.com
Reproducible Scientific Computing: August 2015
http://reproduciblescience.blogspot.com/2015_08_01_archive.html
Friday, August 14, 2015. Final report of the. Doug James, Nancy Wilkins-Diehr, Victoria Stodden, Dirk Colbry, and Carlos Rosales,. Standing Together for Reproducibility in Large-Scale Computing. Monday, August 10, 2015. Preserve the Mess or Encourage Cleanliness? As part of the DASPOS. Project, my research group. Douglas Thain, Peter Ivie, and Haiyan Meng, Techniques for Preserving Scientific Software Executions: Preserve the Mess or Encourage Cleanliness? Allow the user to do whatever they want using wh...
reproduciblescience.blogspot.com
Reproducible Scientific Computing: Preserve the Mess or Encourage Cleanliness?
http://reproduciblescience.blogspot.com/2015/08/preserve-mess-or-encourage-cleanliness.html
Monday, August 10, 2015. Preserve the Mess or Encourage Cleanliness? As part of the DASPOS. Project, my research group. Is developing a variety of prototype tools for software preservation. Haiyan Meng and Peter Ivie have been doing the hard work of software development while I write the blog posts. This recent paper gives an overview of what we are up to:. Douglas Thain, Peter Ivie, and Haiyan Meng, Techniques for Preserving Scientific Software Executions: Preserve the Mess or Encourage Cleanliness?
cse.nd.edu
Datalab
http://www.cse.nd.edu/~ccl/software/datalab
The Cooperative Computing Lab. Datalab is an interactive platform for distributed scientific computing. Datalab lets you store sets of data files that are much larger than a single disk can handle, then define special functions to perform work on that data. Data processing is done in parallel on each storage node, so users reap the benefit of both distributed storage and processing in a way that outperforms conventional storage-only distributed computing systems. DataLab Poster at HPDC 2008.