The order and arrangement of dimensions (variates) is crucial for the effectiveness of a large number of visualization techniques such as parallel coordinates, scatterplots, recur...
Noncontiguous data access is a very common access pattern in many scientific applications. Using POSIX I/O to access many pieces of noncontiguous data segments will generate a lot...
We address the problem of optimizing the distribution of partially replicated databases over a computer network. Replication is used to increase data availability in the presence ...
Sarah Abdul-Wahid, Razvan Andonie, Joseph Lemley, ...
Efficient storage and retrieval of large multidimensional datasets is an important concernfor large-scale scientific computations such as long-running time-dependent simulations w...
Background: Low-level processing and normalization of microarray data are most important steps in microarray analysis, which have profound impact on downstream analysis. Multiple ...