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    <swrc:address>New York, NY, USA</swrc:address><swrc:booktitle>PPoPP &#039;06: Proceedings of the eleventh ACM SIGPLAN symposium on Principles and practice of parallel programming</swrc:booktitle><swrc:pages>187--197</swrc:pages><swrc:publisher><swrc:Organization swrc:name="ACM"/></swrc:publisher><swrc:title>McRT-STM: A High Performance Software Transactional
Memory System for a Multi-Core Runtime</swrc:title><swrc:year>2006</swrc:year><swrc:keywords>Me:Important MultiCore PhD Proposal TransactionalMemory </swrc:keywords><swrc:date>2008-08-12 20:05:04.0</swrc:date><swrc:abstract>Applications need to become more concurrent to take advantage of the increased computational power provided by chip level multiprocessing. Programmers have traditionally managed this concurrency using locks (mutex based synchronization). Unfortunately, lock based synchronization often leads to deadlocks, makes fine-grained synchronization difficult, hinders composition of atomic primitives, and provides no support for error recovery. Transactions avoid many of these problems, and therefore, promise to ease concurrent programming.We describe a software transactional memory (STM) system that is part of McRT, an experimental Multi-Core RunTime. The McRT-STM implementation uses a number of novel algorithms, and supports advanced features such as nested transactions with partial aborts, conditional signaling within a transaction, and object based conflict detection for C/C++ applications. The McRT-STM exports interfaces that can be used from C/C++ programs directly or as a target for compilers translating higher level linguistic constructs.We present a detailed performance analysis of various STM design tradeoffs such as pessimistic versus optimistic concurrency, undo logging versus write buffering, and cache line based versus object based conflict detection. We also show a MCAS implementation that works on arbitrary values, coexists with the STM, and can be used as a more efficient form of transactional memory. To provide a baseline we compare the performance of the STM with that of fine-grained and coarse-grained locking using a number of concurrent data structures on a 16-processor SMP system. We also show our STM performance on a non-synthetic workload -- the Linux sendmail application.</swrc:abstract><swrc:hasExtraField>
    <swrc:Field swrc:key="location" swrc:value="New York, New York, USA"/>
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    <swrc:Field swrc:key="isbn" swrc:value="1-59593-189-9"/>
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  <rdf:_1><swrc:Person swrc:name="Bratin Saha" /></rdf:_1>
  <rdf:_2><swrc:Person swrc:name="Ali-Reza Adl-Tabatabai" /></rdf:_2>
  <rdf:_3><swrc:Person swrc:name="Richard L. Hudson" /></rdf:_3>
  <rdf:_4><swrc:Person swrc:name="Chi Cao Minh" /></rdf:_4>
  <rdf:_5><swrc:Person swrc:name="Benjamin Hertzberg" /></rdf:_5>
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    <rdf:type rdf:resource="&swrc;InProceedings"/>
    <swrc:address>Amsterdam, The Nederlands</swrc:address><swrc:booktitle>Proc. of ECAI-94 workshop on Spatial and Temporal Reasoning</swrc:booktitle><swrc:pages>49--55</swrc:pages><swrc:title>Towards Implementing Fuzzy {Allen} Relations</swrc:title><swrc:year>1994</swrc:year><swrc:keywords>reasoning temporal </swrc:keywords><swrc:date>2008-07-28 12:02:00.0</swrc:date><swrc:author>
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  <rdf:_1><swrc:Person swrc:name="H. W. G\&#034;{u}sgen" /></rdf:_1>
  <rdf:_2><swrc:Person swrc:name="J. Hertzberg" /></rdf:_2>
  <rdf:_3><swrc:Person swrc:name="A. Philpott" /></rdf:_3>
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<swrc:editor>
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<rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/20473542fed94517af668c7b60c83091d/flint63">
    <rdf:type rdf:resource="&swrc;Proceedings"/>
    <swrc:address>Berlin, Heidelberg</swrc:address><swrc:publisher><swrc:Organization swrc:name="Springer"/></swrc:publisher><swrc:series>Lecture Notes in Computer Science</swrc:series><swrc:title>{KI 2007:} Advances in Artificial Intelligence : 30th Annual German
	Conference on AI, {KI 2007}, Osnabrück, Germany, September 10--13,
	2007, Proceedings</swrc:title><swrc:volume>4667</swrc:volume><swrc:year>2007</swrc:year><swrc:keywords>ai book conference springer v0805 </swrc:keywords><swrc:date>2008-07-07 13:47:29.0</swrc:date><swrc:abstract>This book constitutes the thoroughly refereed proceedings of the 30th
	Annual German Conference on Artificial Intelligence, KI 2007, held
	in Osnabrück, Germany, September 2007.
	
	The 26 revised full papers presented together with six invited contributions
	and 21 posters were carefully reviewed and selected from 81 submissions.
	The papers are organized in topical sections on cognition and emotion,
	semantic Web, analogy, natural language, reasoning, ontologies, spatio-temporal
	reasoning, machine learning, spatial reasoning, robot learning, classical
	AI problems, and agents.</swrc:abstract><swrc:hasExtraField>
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  <rdf:Seq>
  <rdf:_1><swrc:Person swrc:name="Joachim Hertzberg" /></rdf:_1>
  <rdf:_2><swrc:Person swrc:name="Michael Beetz" /></rdf:_2>
  <rdf:_3><swrc:Person swrc:name="Roman Englert" /></rdf:_3>
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<rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/240928209775da24714a4650b586b0c47/flint63">
    <rdf:type rdf:resource="&swrc;InProceedings"/>
    <swrc:address>Berlin, Heidelberg</swrc:address><swrc:booktitle>{KI 2007:} Advances in Artificial Intelligence</swrc:booktitle><swrc:pages>506-509</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Springer"/></swrc:publisher><swrc:series>Lecture Notes in Computer Science</swrc:series><swrc:title>Semantic Graph Visualisation for Mobile Semantic Web Interfaces</swrc:title><swrc:volume>4667</swrc:volume><swrc:year>2007</swrc:year><swrc:keywords>ai design dfki graphics information ontology paper semantic smartweb springer v0805 </swrc:keywords><swrc:date>2008-07-07 13:47:29.0</swrc:date><swrc:abstract>Information visualisation benefits from the Semantic Web: multimodal
	mobile interfaces to the Semantic Web offer access to complex knowledge
	and information structures. Natural language dialogue systems are
	ideal interfaces to personal digital assistants (PDAs) or other handheld
	clients. We explore more fine-grained co-ordination of multimodal
	presentations as answers to natural language questions about a specific
	domain by graph-based visualisation and navigation in ontological
	RDF result structures. Semantic Navigation on mobile devices leverages
	graphical user interface activity for dialogical interaction in mobile
	environments. Constraint-based programming helps to find optimised
	multimedia graph visualisations.</swrc:abstract><swrc:hasExtraField>
    <swrc:Field swrc:key="timestamp" swrc:value="2008.04.29"/>
  </swrc:hasExtraField>
<swrc:hasExtraField>
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  <rdf:_1><swrc:Person swrc:name="Daniel Sonntag" /></rdf:_1>
  <rdf:_2><swrc:Person swrc:name="Philipp Heim" /></rdf:_2>
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<swrc:editor>
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  <rdf:_1><swrc:Person swrc:name="Joachim Hertzberg" /></rdf:_1>
  <rdf:_2><swrc:Person swrc:name="Michael Beetz" /></rdf:_2>
  <rdf:_3><swrc:Person swrc:name="Roman Englert" /></rdf:_3>
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<rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/273477e27f2db985e740d18a42e90b02a/flint63">
    <rdf:type rdf:resource="&swrc;InProceedings"/>
    <swrc:address>Berlin, Heidelberg</swrc:address><swrc:booktitle>{KI 2007:} Advances in Artificial Intelligence</swrc:booktitle><swrc:pages>279-292</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Springer"/></swrc:publisher><swrc:series>Lecture Notes in Computer Science</swrc:series><swrc:title>Natural Language Descriptions of Human Behavior from Video Sequences</swrc:title><swrc:volume>4667</swrc:volume><swrc:year>2007</swrc:year><swrc:keywords>action ai analysis generation image language paper recognition springer v0805 video </swrc:keywords><swrc:date>2008-07-07 13:47:29.0</swrc:date><swrc:abstract>This contribution addresses the generation of textual descriptions
	in several natural languages for evaluation of human behavior in
	video sequences. The problem is tackled by converting geometrical
	information extracted from videos of the scenario into predicates
	in fuzzy logic formalism, which facilitates the internal representations
	of the conceptual data and allows the temporal analysis of situations
	in a deterministic fashion, by means of Situation Graph Trees (SGTs).
	The results of the analysis are stored in structures proposed by
	the Discourse Representation Theory (DRT), which facilitate a subsequent
	generation of natural language text. This set of tools has been proved
	to be perfectly suitable for the specified purpose.</swrc:abstract><swrc:hasExtraField>
    <swrc:Field swrc:key="timestamp" swrc:value="2008.04.29"/>
  </swrc:hasExtraField>
<swrc:hasExtraField>
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  <rdf:_1><swrc:Person swrc:name="Carles Fern{\&#039;a}ndez Tena" /></rdf:_1>
  <rdf:_2><swrc:Person swrc:name="Pau Baiget" /></rdf:_2>
  <rdf:_3><swrc:Person swrc:name="Xavier Roca" /></rdf:_3>
  <rdf:_4><swrc:Person swrc:name="Jordi Gonz{\`a}lez" /></rdf:_4>
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<swrc:editor>
  <rdf:Seq>
  <rdf:_1><swrc:Person swrc:name="Joachim Hertzberg" /></rdf:_1>
  <rdf:_2><swrc:Person swrc:name="Michael Beetz" /></rdf:_2>
  <rdf:_3><swrc:Person swrc:name="Roman Englert" /></rdf:_3>
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<rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/299855424597f26fd75c218473e35f1d7/flint63">
    <rdf:type rdf:resource="&swrc;InProceedings"/>
    <swrc:address>Berlin, Heidelberg</swrc:address><swrc:booktitle>{KI 2007:} Advances in Artificial Intelligence</swrc:booktitle><swrc:pages>448-451</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Springer"/></swrc:publisher><swrc:series>Lecture Notes in Computer Science</swrc:series><swrc:title>Text Generation in the {SmartWeb} Multimodal Dialogue System</swrc:title><swrc:volume>4667</swrc:volume><swrc:year>2007</swrc:year><swrc:keywords>ai dfki generation language paper smartweb springer v0805 </swrc:keywords><swrc:date>2008-07-07 13:47:29.0</swrc:date><swrc:abstract>This paper presents the text generation module of SmartWeb, a multimodal
	dialogue system. The generation module bases on NipsGen which combines
	SPIN, originally a parser developed for spoken language, and a tree-adjoining
	grammar framework for German. NipsGen allows to mix full generation
	with canned text.</swrc:abstract><swrc:hasExtraField>
    <swrc:Field swrc:key="timestamp" swrc:value="2008.04.29"/>
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<swrc:hasExtraField>
    <swrc:Field swrc:key="file" swrc:value="SpringerLink:2007/EngelSonntag07KI.pdf:PDF"/>
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<swrc:hasExtraField>
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<swrc:author>
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  <rdf:_1><swrc:Person swrc:name="Ralf Engel" /></rdf:_1>
  <rdf:_2><swrc:Person swrc:name="Daniel Sonntag" /></rdf:_2>
  </rdf:Seq>
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<swrc:editor>
  <rdf:Seq>
  <rdf:_1><swrc:Person swrc:name="Joachim Hertzberg" /></rdf:_1>
  <rdf:_2><swrc:Person swrc:name="Michael Beetz" /></rdf:_2>
  <rdf:_3><swrc:Person swrc:name="Roman Englert" /></rdf:_3>
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<rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2fedc89f7c17c20ec3918e28bf7f11cf9/flint63">
    <rdf:type rdf:resource="&swrc;InProceedings"/>
    <swrc:address>Berlin, Heidelberg</swrc:address><swrc:booktitle>{KI 2007:} Advances in Artificial Intelligence</swrc:booktitle><swrc:pages>19-42</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Springer"/></swrc:publisher><swrc:series>Lecture Notes in Computer Science</swrc:series><swrc:title>Cognitive Technical Systems --- What Is the Role of Artificial Intelligence?</swrc:title><swrc:volume>4667</swrc:volume><swrc:year>2007</swrc:year><swrc:keywords>action ai analysis data embedded factory image paper pattern plan recognition robot sensor springer traffic v0805 video </swrc:keywords><swrc:date>2008-07-07 13:47:29.0</swrc:date><swrc:abstract>The newly established cluster of excellence CoTeSys investigates the
	realization of cognitive capabilities such as perception, learning,
	reasoning, planning, and execution for technical systems including
	humanoid robots, flexible manufacturing systems, and autonomous vehicles.
	In this paper we describe cognitive technical systems using a sensor-equipped
	kitchen with a robotic assistant as an example. We will particularly
	consider the role of Artificial Intelligence in the research enterprise.
	
	Key research foci of Artificial Intelligence research in CoTeSys include
	(a) symbolic representations grounded in perception and action, (b)
	first-order probabilistic representations of actions, objects, and
	situations, (c) reasoning about objects and situations in the context
	of everyday manipulation tasks, and (d) the representation and revision
	of robot plans for everyday activity.</swrc:abstract><swrc:hasExtraField>
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    <swrc:Field swrc:key="file" swrc:value="SpringerLink:2007/BeetzBussWollherr07KI.pdf:PDF"/>
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  <rdf:_1><swrc:Person swrc:name="Michael Beetz" /></rdf:_1>
  <rdf:_2><swrc:Person swrc:name="Martin Buss" /></rdf:_2>
  <rdf:_3><swrc:Person swrc:name="Dirk Wollherr" /></rdf:_3>
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  <rdf:_1><swrc:Person swrc:name="Joachim Hertzberg" /></rdf:_1>
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<rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/288d5eed6b6dcba47638415d51b048ac0/dblp">
    <rdf:type rdf:resource="&swrc;InProceedings"/>
    <swrc:booktitle>Robot Navigation</swrc:booktitle><swrc:crossref>conf/dagstuhl/2006P6421</swrc:crossref><swrc:publisher><swrc:Organization swrc:name="Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany"/></swrc:publisher><swrc:series>Dagstuhl Seminar Proceedings</swrc:series><swrc:title>6D SLAM with Cached kd-tree Search.</swrc:title><swrc:volume>06421</swrc:volume><swrc:year>2006</swrc:year><swrc:keywords>dblp </swrc:keywords><swrc:date>2008-05-15 00:00:00.0</swrc:date><swrc:hasExtraField>
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  <rdf:_1><swrc:Person swrc:name="Andreas Nüchter" /></rdf:_1>
  <rdf:_2><swrc:Person swrc:name="Kai Lingemann" /></rdf:_2>
  <rdf:_3><swrc:Person swrc:name="Joachim Hertzberg" /></rdf:_3>
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  <rdf:_1><swrc:Person swrc:name="Sándor P. Fekete" /></rdf:_1>
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  <rdf:_3><swrc:Person swrc:name="Rolf Klein" /></rdf:_3>
  <rdf:_4><swrc:Person swrc:name="Alejandro López-Ortiz" /></rdf:_4>
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    <rdf:type rdf:resource="&swrc;Article"/>
    <swrc:journal>Robotics and Autonomous Systems</swrc:journal><swrc:number>2</swrc:number><swrc:pages>130-142</swrc:pages><swrc:title>Globally consistent 3D mapping with scan matching.</swrc:title><swrc:volume>56</swrc:volume><swrc:year>2008</swrc:year><swrc:keywords>dblp </swrc:keywords><swrc:date>2008-02-13 00:00:00.0</swrc:date><swrc:hasExtraField>
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  <rdf:_2><swrc:Person swrc:name="Jan Elseberg" /></rdf:_2>
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  <rdf:_4><swrc:Person swrc:name="Andreas Nüchter" /></rdf:_4>
  <rdf:_5><swrc:Person swrc:name="Joachim Hertzberg" /></rdf:_5>
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    <swrc:journal>Bioinformatics</swrc:journal><swrc:number>14</swrc:number><swrc:pages>1737-1743</swrc:pages><swrc:title>STOP: searching for transcription factor motifs using gene expression.</swrc:title><swrc:volume>23</swrc:volume><swrc:year>2007</swrc:year><swrc:keywords>dblp </swrc:keywords><swrc:date>2008-01-11 00:00:00.0</swrc:date><swrc:hasExtraField>
    <swrc:Field swrc:key="ee" swrc:value="http://dx.doi.org/10.1093/bioinformatics/btm249"/>
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  <rdf:_1><swrc:Person swrc:name="Libi Hertzberg" /></rdf:_1>
  <rdf:_2><swrc:Person swrc:name="Shai Izraeli" /></rdf:_2>
  <rdf:_3><swrc:Person swrc:name="Eytan Domany" /></rdf:_3>
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