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Up: Parallelization and high-performance computing
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- Cluster Linux and IRIX build maintenance
- Maintenance of the
existing NCSA/NRAO builds under IRIX and on the AHPCC Linux
cluster. (WY, H, 3 wk, DM, H, 3 wk).
- Key project processing
- Processing of five key projects
(including at least one each of mosaiced, wide-field or large spectral
line). Candidates include the existing M33 dataset (Westpfahl), TXCam
(Kemball), and a selection of low-frequency VLA projects in
A-configuration. Generation of user liaison documentation and user
support at NCSA. (RP, H, 4 wk, DM, M, 2 wk, AK, H, 2 wk).
- Complete multi-field parallelization
- Complete implementation of
a prototype parallelization for mosaiced or wide-field
imaging. Candidates include field- or facet-based gridding, model
prediction or residual image computation. (KG, H, 4 wk).
- dragon revisions for automated wide-field imaging
- Refine dragon
for full wide-field or deep field reduction. (KG, H, 4 wk).
- Parallelization of other deconvolution methods
- Extend the Clark
CLEAN parallelization to other deconvolution algorithms. (KG, H,
2 wk).
- Initial parallel I/O implementation
- Implementation of
multi-process I/O on the same file, multi-iterator access in a single
process, and ROMIO asynchronous I/O using MPI-2. Evaluation of
performance in these cases. (WY, H, 5 wk).
- Complete NT port of libaips and libtrial
- Continue and complete
the NT port as described; run a parallel application on the NCSA NT
supercluster. (WY, H, 5 wk).
- Modify test suite for large problem size
- Modify the current
bigimagertest to use simulated data. (DM, H, 1 wk).
- Serial profiling
- Continue to document serial profiling of
mosaicing, wide-field and spectral line performance for large problem
sizes. Identify and eliminate gross serial optimizations. (WY,
H, 2 wk).
Up: Parallelization and high-performance computing
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