High-performance I/O has not received the same degree of attention that high-performance computing has, even though many applications are performance-limited by the rate at which they can perform I/O (either saving computations or accessing previous calculations). In addition, managing this data (on the scale of petabytes of complex data, where each logical record represents gigabytes of data) remains a major challenge. These unique needs of DOE are not being met by the commercial sector, where I/O work is focused on POSIX (or Windows/NT) compatibility (at the expense of factors of 100 in performance) or on database applications. Our specific purpose, then, is to address the obstacles of getting data into and out of teraflops systems fast enough to avoid severe bottlenecks and to manage large amounts of data.
PIs: Rajeev Thakur, Robert Ross, William Gropp, Ewing Lusk
The purpose of this project is to develop the technologies required to dramatically increase the productivity of scientists developing applications for parallel supercomputers The focus is fourfold: (1) integration of portable parallel programming tools, (2) development of scientific computing tool kits and portable libraries, (3) research into performace analysis tools for parallel programs (4) exploration of requirements of future parallel computers. Our current efforts include parallel libraries such as MPICH and performance visualization.
MPICHMPICH is a portable, high-performance implementation of the Message Passing Interface. As part of the MPICH project, we are exploring tradeoffs between portability and performance in the context of the MPI Standard and are investigating interfaces between MPI and tools. The MPI project also provides a testbed for other research groups working on particular aspects of message passing.
Performance visualization is a powerful technique for understanding the behavior and performance of parallel programs through the use of trace files (log files).
MPD (multipurpose daemon)a prototype process manager for fast startup of MPICH programs. MPD currently provides a runtime framework that includes management of standard I/O and a simple form parallel debugging based on existing open source software.
PIs: W. Gropp, E. Lusk
ADI-3a redesign of the internals of MPICH to with the objective of making MPICH a significant component of open source software systems for parallel computers used in the scientific community
PIs: W. Gropp, E. Lusk
MPICH-G2an implementation of MPICH integrated with the Globus metacomputing system, to allow MPI programs to be started on heterogeneous collections of parallel computers
PIs: B. Toonen, N. Karonis
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