The development of SCOUT was co-funded by the HBP during the Ramp-up Phase. This page is kept for reference but will no longer be updated.
SCOUT is a structure-aware method for prefetching data along interactive spatial query sequences. Given the user input, which is a spatial range query sequence representing the structure explored (interactively) by the user, and the spatial dataset to be queried, SCOUT reduces the query response time by prefetching the data along the query sequence.
Similarly to FLAT, both the query ranges in the query sequence and the spatial objects should be represented using a minimum bounding rectangle.
SCOUT outperforms the related prefetching techniques (e.g., Straight Line Extrapolation or Hilbert prefetching) with high prefetching accuracy, which is translated to one order of magnitude speedup.
Date of release | March 2015 |
Version of software | 1.0 |
Version of documentation | 1.0 |
Software available | Collaboratory, integrated in and part of BBP SDK tool set |
Documentation | http://dias.epfl.ch/op/preview/BrainDB |
Responsible | EPFL-DIAS: Xuesong Lu (xuesong.lu@epfl.ch), Darius Sidlauskas (darius.sidlauskas@epfl.ch) |
Requirements & dependencies | Linux, Boost library, BBP SDK |
Target system(s) | PICO supercomputer |