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ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
16 years 1 months ago
Towards Mapping of Cities
— Map learning is a fundamental task in mobile robotics because maps are required for a series of high level applications. In this paper, we address the problem of building maps ...
Patrick Pfaff, Rudolph Triebel, Cyrill Stachniss, ...
BMCBI
2011
14 years 10 months ago
A Novel And Well-Defined Benchmarking Method For Second Generation Read Mapping
Background: Second generation sequencing technologies yield DNA sequence data at ultra high-throughput. Common to most biological applications is a mapping of the reads to an almo...
Manuel Holtgrewe, Anne-Katrin Emde, David Weese, K...
EDBT
2010
ACM
188views Database» more  EDBT 2010»
15 years 10 months ago
DEDUCE: at the intersection of MapReduce and stream processing
MapReduce and stream processing are two emerging, but different, paradigms for analyzing, processing and making sense of large volumes of modern day data. While MapReduce offers t...
Vibhore Kumar, Henrique Andrade, Bugra Gedik, Kun-...
HIPC
2009
Springer
15 years 4 months ago
Distance-aware round-robin mapping for large NUCA caches
In many-core architectures, memory blocks are commonly assigned to the banks of a NUCA cache by following a physical mapping. This mapping assigns blocks to cache banks in a round-...
Alberto Ros, Marcelo Cintra, Manuel E. Acacio, Jos...
ICDE
2011
IEEE
265views Database» more  ICDE 2011»
14 years 10 months ago
RAFTing MapReduce: Fast recovery on the RAFT
MapReduce is a computing paradigm that has gained a lot of popularity as it allows non-expert users to easily run complex analytical tasks at very large-scale. At such scale, task...
Jorge-Arnulfo Quiané-Ruiz, Christoph Pinkel...