Difference between revisions of "Introduction"

From ZeptoOS
Jump to navigationJump to search
(New page: ZeptoOS is a research project investigating operating systems and run-time systems and libraries for petascale architectures with 10,000 to 1 million CPUs. The ZeptoOS project is a collabo...)
 
Line 2: Line 2:
  
 
For IBM's Bluegene/P platform, we are investigating highly efficient Linux-based compute node and I/O node kernels and advanced-functionality libraries and tools that support efficient collective operations, parallel I/O, and performance monitoring tools. Most of the time, to accomplish our Computer Science research goals we must replace IBM's closed-source components with Open Source versions that we have either written from scratch or adapted from other Open Source pieces. The new components are fast, small, reliable, infinitely flexible, and with lots of new features.
 
For IBM's Bluegene/P platform, we are investigating highly efficient Linux-based compute node and I/O node kernels and advanced-functionality libraries and tools that support efficient collective operations, parallel I/O, and performance monitoring tools. Most of the time, to accomplish our Computer Science research goals we must replace IBM's closed-source components with Open Source versions that we have either written from scratch or adapted from other Open Source pieces. The new components are fast, small, reliable, infinitely flexible, and with lots of new features.
 +
 +
[https://wiki.mcs.anl.gov/zeptoos/index.php/Complete_ZeptoOS_Documentation Top]

Revision as of 13:22, 20 January 2009

ZeptoOS is a research project investigating operating systems and run-time systems and libraries for petascale architectures with 10,000 to 1 million CPUs. The ZeptoOS project is a collaboration between Argonne National Laboratory and the University of Oregon.

For IBM's Bluegene/P platform, we are investigating highly efficient Linux-based compute node and I/O node kernels and advanced-functionality libraries and tools that support efficient collective operations, parallel I/O, and performance monitoring tools. Most of the time, to accomplish our Computer Science research goals we must replace IBM's closed-source components with Open Source versions that we have either written from scratch or adapted from other Open Source pieces. The new components are fast, small, reliable, infinitely flexible, and with lots of new features.

Top