806 research outputs found
Tilescope: online analysis pipeline for high-density tiling microarray data
Tilescope is a fully integrated and automated new data-processing pipeline for analyzing high-density
tiling-array data
A Study of Energy and Locality Effects using Space-filling Curves
The cost of energy is becoming an increasingly important driver for the
operating cost of HPC systems, adding yet another facet to the challenge of
producing efficient code. In this paper, we investigate the energy implications
of trading computation for locality using Hilbert and Morton space-filling
curves with dense matrix-matrix multiplication. The advantage of these curves
is that they exhibit an inherent tiling effect without requiring specific
architecture tuning. By accessing the matrices in the order determined by the
space-filling curves, we can trade computation for locality. The index
computation overhead of the Morton curve is found to be balanced against its
locality and energy efficiency, while the overhead of the Hilbert curve
outweighs its improvements on our test system.Comment: Proceedings of the 2014 IEEE International Parallel & Distributed
Processing Symposium Workshops (IPDPSW
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