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Tag #streaming

254 papers:

ASPLOSASPLOS-2020-HanelAXKL #abstraction #data-driven #memory management #named
Vortex: Extreme-Performance Memory Abstractions for Data-Intensive Streaming Applications (CH, AA, DX, JK, DL), pp. 623–638.
ASPLOSASPLOS-2020-ThomasHZ #framework #named #parallel
Fleet: A Framework for Massively Parallel Streaming on FPGAs (JJT, PH, MZ), pp. 639–651.
CIAACIAA-2019-TakahashiAN #string #transducer
Streaming Ranked-Tree-to-String Transducers (YT, KA, KN), pp. 235–247.
CHI-PLAYCHI-PLAY-2019-0001LLLL #experience #game studies #mobile #motivation #social
Game or Live Streaming?: Motivation and Social Experience in Live Mobile Quiz Shows (SK0, GL, SyL, SL, JL), pp. 87–98.
CHI-PLAYCHI-PLAY-2019-HarpsteadRSH #game studies #overview #research #tool support #towards
Toward a Twitch Research Toolkit: A Systematic Review of Approaches to Research on Game Streaming (EH, JSR, JS, JH), pp. 111–119.
DiGRADiGRA-2019-LinSL #game studies
Game Streaming Revisited: Some Observations on Marginal Practices and Contexts (HL, CTS, MCL).
FDGFDG-2019-CullenR #community #guidelines
Necklines and 'naughty bits': constructing and regulating bodies in live streaming community guidelines (ALLC, BR), p. 8.
CIKMCIKM-2019-DuongRN #multi #sketching #using
Sketching Streaming Histogram Elements using Multiple Weighted Factors (QHD, HR, KN), pp. 19–28.
CIKMCIKM-2019-PratamaCXL0 #atl #information management #named #process
ATL: Autonomous Knowledge Transfer from Many Streaming Processes (MP, MdC, RX, EL, JL0), pp. 269–278.
CIKMCIKM-2019-PratamaZAO0 #automation #multi #network
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples (MP, CZ, AA, YSO, WD0), pp. 1171–1180.
ICMLICML-2019-0001MZLK #adaptation #approximate #complexity #memory management
Submodular Streaming in All Its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity (EK0, MM, MZ, SL, AK), pp. 3311–3320.
ICMLICML-2019-BasuGLS #classification
Pareto Optimal Streaming Unsupervised Classification (SB0, SG, BL, SS), pp. 505–514.
KDDKDD-2019-DeshpandeS #adaptation #modelling #using
Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units (PD, SS), pp. 1560–1568.
KDDKDD-2019-GuoYWCZH #recommendation
Streaming Session-based Recommendation (LG0, HY, QW, TC, AZ, NQVH), pp. 1569–1577.
KDDKDD-2019-WangQZZWLG #set #sketching
A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets (PW, YQ, YZ, QZ, CW, JCSL, XG), pp. 25–33.
PLDIPLDI-2019-DhulipalaBS #graph #using
Low-latency graph streaming using compressed purely-functional trees (LD, GEB, JS), pp. 918–934.
CIKMCIKM-2018-DedieuMZV #modelling #predict
Hierarchical Modeling and Shrinkage for User Session LengthPrediction in Media Streaming (AD, RM, ZZ, HV), pp. 607–616.
CIKMCIKM-2018-KhodabakhshFZB #predict #social
Predicting Personal Life Events from Streaming Social Content (MK, HF, FZ, EB), pp. 1751–1754.
CIKMCIKM-2018-NimishakaviMGT #framework #induction #multi
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information (MN, BM, MG, PPT), pp. 307–316.
ECIRECIR-2018-FaniBZBA #detection
Stopword Detection for Streaming Content (HF, MB, FZ, EB, FAO), pp. 737–743.
ECIRECIR-2018-SreepadaP #approach #collaboration #incremental
An Incremental Approach for Collaborative Filtering in Streaming Scenarios (RSS, BKP), pp. 632–637.
ICMLICML-2018-CormodeDW #distributed #summary
Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski p-Norms (GC, CD, DPW), pp. 1048–1056.
ICMLICML-2018-EsfandiariLM #algorithm #composition #parallel
Parallel and Streaming Algorithms for K-Core Decomposition (HE, SL, VSM), pp. 1396–1405.
ICMLICML-2018-MarinovMA #analysis #component
Streaming Principal Component Analysis in Noisy Settings (TVM, PM, RA), pp. 3410–3419.
ICMLICML-2018-OsamaZS #learning #locality #modelling
Learning Localized Spatio-Temporal Models From Streaming Data (MO, DZ, TBS), pp. 3924–3932.
ICMLICML-2018-WangSL
Provable Variable Selection for Streaming Features (JW0, JS0, PL0), pp. 5158–5166.
KDDKDD-2018-EswaranFGM #detection #graph #named
SpotLight: Detecting Anomalies in Streaming Graphs (DE, CF, SG, NM), pp. 1378–1386.
KDDKDD-2018-WangYHLWH #memory management #network #recommendation
Neural Memory Streaming Recommender Networks with Adversarial Training (QW, HY, ZH, DL, HW, ZH), pp. 2467–2475.
FASEFASE-2018-GioulekasPKBP #network #parallel #process
A Process Network Model for Reactive Streaming Software with Deterministic Task Parallelism (FG, PP, PK, SB, PP), pp. 94–110.
HaskellHaskell-2017-Clifton-Everest #array
Streaming irregular arrays (RCE, TLM, MMTC, GK), pp. 174–185.
CIKMCIKM-2017-LiuLZZYH0 #interactive #named
Urbanity: A System for Interactive Exploration of Urban Dynamics from Streaming Human Sensing Data (ML, ZL, CZ0, KZ, QY0, TH, JH0), pp. 2503–2506.
CIKMCIKM-2017-VasiloudisBM #distributed #named
BoostVHT: Boosting Distributed Streaming Decision Trees (TV, FB, GDFM), pp. 899–908.
KDDKDD-2017-SongHGCH #multi
Multi-Aspect Streaming Tensor Completion (QS, XH, HG, JC, XH), pp. 435–443.
PLDIPLDI-2017-0001W #scheduling
Low-synchronization, mostly lock-free, elastic scheduling for streaming runtimes (SS0, KLW), pp. 648–661.
PLDIPLDI-2017-MamourasRAIK #composition #evaluation #named #performance #query #specification
StreamQRE: modular specification and efficient evaluation of quantitative queries over streaming data (KM, MR, RA, ZGI, SK), pp. 693–708.
ASPLOSASPLOS-2017-VoraGX #approximate #graph #named #performance
KickStarter: Fast and Accurate Computations on Streaming Graphs via Trimmed Approximations (KV, RG0, G(X), pp. 237–251.
IFM-2016-RiescoR #random testing #testing
Temporal Random Testing for Spark Streaming (AR0, JRH), pp. 393–408.
CIKMCIKM-2016-SubbianAH #recommendation
Recommendations For Streaming Data (KS, CCA, KH), pp. 2185–2190.
CIKMCIKM-2016-ZhangSWQ #modelling #online
Derivative Delay Embedding: Online Modeling of Streaming Time Series (ZZ, YS, WW0, HQ), pp. 969–978.
ICPRICPR-2016-LiPS #image #summary
Streaming news image summarization (HL0, SP, HS), pp. 1279–1284.
KDDKDD-2016-ChangZTYCHH #learning #network
Positive-Unlabeled Learning in Streaming Networks (SC, YZ0, JT, DY, YC, MAHJ, TSH), pp. 755–764.
KDDKDD-2016-GuptaA
Streaming Analytics (AG, NA), p. 2123.
KDDKDD-2016-LiangYK #clustering #documentation
Dynamic Clustering of Streaming Short Documents (SL, EY, EK), pp. 995–1004.
KDDKDD-2016-ManzoorMA #detection #graph #performance
Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs (EAM, SMM, LA), pp. 1035–1044.
POPLPOPL-2016-GrathwohlHRST #compilation #named #nondeterminism #transducer
Kleenex: compiling nondeterministic transducers to deterministic streaming transducers (NBBG, FH, UTR, KAS, SPT), pp. 284–297.
VLDBVLDB-2015-MeehanTZACDKMMP #named #transaction
S-Store: Streaming Meets Transaction Processing (JM, NT, SZ, CA, , JD, TK, SM, DM, AP, MS, KT, HW), pp. 2134–2145.
EDMEDM-2015-LewkowZRE #education #framework #learning #platform #scalability #towards
Learning Analytics Platform. Towards an Open Scalable Streaming Solution for Education (NL, NLZ, MR, AE), pp. 460–463.
ICALPICALP-v1-2015-ChekuriGQ #algorithm
Streaming Algorithms for Submodular Function Maximization (CC, SG, KQ), pp. 318–330.
CHICHI-2015-ChangM #spreadsheet
A Spreadsheet Model for Handling Streaming Data (KSPC, BAM), pp. 3399–3402.
HCIDUXU-DD-2015-JacksonAFGM #case study #user study
A User Study of Netflix Streaming (FJ, RA, YF, JEG, JM), pp. 481–489.
ICEISICEIS-v1-2015-SarmentoCG #network #using
Streaming Networks Sampling using top-K Networks (RS, MC, JG), pp. 228–234.
CIKMCIKM-2015-GuoSA #correlation #distributed #performance
Fast Distributed Correlation Discovery Over Streaming Time-Series Data (TG0, SS, KA), pp. 1161–1170.
CIKMCIKM-2015-LiHTL #feature model #social #social media
Unsupervised Streaming Feature Selection in Social Media (JL, XH, JT, HL0), pp. 1041–1050.
ICMLICML-2015-TheisH #probability
A trust-region method for stochastic variational inference with applications to streaming data (LT, MDH), pp. 2503–2511.
ICMLICML-2015-YangX15a #analysis #component
Streaming Sparse Principal Component Analysis (WY, HX), pp. 494–503.
MLDMMLDM-2015-AkbariniaM #probability
Aggregation-Aware Compression of Probabilistic Streaming Time Series (RA, FM), pp. 232–247.
SEKESEKE-2015-HughesDH #detection
Detecting Reporting Anomalies in Streaming Sensing Systems (SH, YD, JOH), pp. 427–432.
SACSAC-2015-CanoA #feedback #multi #scalability
Feedback management for scaling clients in streaming multicast (JC, LA), pp. 669–671.
SACSAC-2015-CorcoglionitiRM #rdf #sorting #using
Processing billions of RDF triples on a single machine using streaming and sorting (FC, MR, MM, MA), pp. 368–375.
DATEDATE-2015-KanounS #big data #concept #data type #detection #learning #online #scheduling
Big-data streaming applications scheduling with online learning and concept drift detection (KK, MvdS), pp. 1547–1550.
HPDCHPDC-2015-HeintzCS #optimisation
Optimizing Grouped Aggregation in Geo-Distributed Streaming Analytics (BH, AC, RKS), pp. 133–144.
LCTESLCTES-2015-BarijoughHKG #analysis #trade-off
Implementation-Aware Model Analysis: The Case of Buffer-Throughput Tradeoff in Streaming Applications (KMB, MH, VK, SG), p. 10.
PDPPDP-2015-DkhilDLR #algorithm #embedded #hybrid #scheduling #self
A Hybrid Scheduling Algorithm Based on Self-Timed and Periodic Scheduling for Embedded Streaming Applications (AD, XD, SL, CR), pp. 711–715.
PDPPDP-2015-JeongLK #architecture
A High-Performance Media Streaming Architecture Based on KVM (WYJ, YL, JSK), pp. 203–206.
PDPPDP-2015-SelvaMMF #adaptation #monitoring #runtime
A Monitoring System for Runtime Adaptations of Streaming Applications (MS, LM, KM, SF), pp. 27–34.
PPoPPPPoPP-2015-SeoKK #graph #named #scalability
GStream: a graph streaming processing method for large-scale graphs on GPUs (HS, JK, MSK), pp. 253–254.
STOCSTOC-2015-LarsenNN #adaptation #algorithm #bound
Time Lower Bounds for Nonadaptive Turnstile Streaming Algorithms (KGL, JN, HLN), pp. 803–812.
VLDBVLDB-2014-CetintemelDKMMMPSSTTWZ #named
S-Store: A Streaming NewSQL System for Big Velocity Applications (, JD, TK, SM, DM, JM, AP, MS, ES, NT, KT, HW, SBZ), pp. 1633–1636.
VLDBVLDB-2015-WangZZLW14 #correlation #estimation #using
Selectivity Estimation on Streaming Spatio-Textual Data Using Local Correlations (XW, YZ, WZ, XL, WW), pp. 101–112.
ICALPICALP-v1-2014-KlauckP #algorithm #interactive #problem
An Improved Interactive Streaming Algorithm for the Distinct Elements Problem (HK, VP), pp. 919–930.
CHICHI-2014-FreemanSCBS #authoring #editing #named #video
LACES: live authoring through compositing and editing of streaming video (DERF, SS, FC, RB, KS), pp. 1207–1216.
CHICHI-2014-HamiltonGK #community #game studies
Streaming on twitch: fostering participatory communities of play within live mixed media (WAH, OG, AK), pp. 1315–1324.
CHICHI-2014-ProcykNPTJ #chat #distance #mobile #using #video
Exploring video streaming in public settings: shared geocaching over distance using mobile video chat (JP, CN, CP, AT, TKJ), pp. 2163–2172.
CAiSECAiSE-2014-KalamatianosK #independence #reduction
Schema Independent Reduction of Streaming Log Data (TK, KK), pp. 394–408.
CIKMCIKM-2014-LeeLM #named #social
CAST: A Context-Aware Story-Teller for Streaming Social Content (PL, LVSL, EEM), pp. 789–798.
CIKMCIKM-2014-YangTZ #learning
Active Learning for Streaming Networked Data (ZY, JT, YZ), pp. 1129–1138.
ECIRECIR-2014-VoskaridesOTWR
Query-Dependent Contextualization of Streaming Data (NV, DO, MT, WW, MdR), pp. 706–712.
ICPRICPR-2014-BargiXP #adaptation #classification #infinity #learning #online #segmentation
An Infinite Adaptive Online Learning Model for Segmentation and Classification of Streaming Data (AB, RYDX, MP), pp. 3440–3445.
ICPRICPR-2014-ChandrasekharTMLLL #clustering #graph #incremental #performance #retrieval #video
Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data (VC, CT, WM, LL, XL, JHL), pp. 2631–2636.
KDDKDD-2014-BadanidiyuruMKK #on the fly #summary
Streaming submodular maximization: massive data summarization on the fly (AB, BM, AK, AK), pp. 671–680.
MODELSMoDELS-2014-DavidRV #model transformation
Streaming Model Transformations By Complex Event Processing (ID, IR, DV), pp. 68–83.
DACDAC-2014-RoyKCBC #using
Demand-Driven Mixture Preparation and Droplet Streaming using Digital Microfluidic Biochips (SR, SK, PPC, BBB, KC), p. 6.
DATEDATE-2014-CannellaBS #approach #realtime #scheduling #using
System-level scheduling of real-time streaming applications using a semi-partitioned approach (EC, MB, TS), pp. 1–6.
DATEDATE-2014-LiuSZSC #constraints #latency #optimisation
Resource optimization for CSDF-modeled streaming applications with latency constraints (DL, JS, JTZ, TS, GC), pp. 1–6.
HPDCHPDC-2014-FaltBKYZ #named #parallel
Bobolang: a language for parallel streaming applications (ZF, DB, MK, JY, FZ), pp. 311–314.
PDPPDP-2014-AtaeeG #named #performance #protocol #reliability #replication
EagleMacaw: A Dual-Tree Replication Protocol for Efficient and Reliable P2P Media Streaming (SA, BG), pp. 112–121.
STOCSTOC-2014-LiNW #algorithm #linear #sketching
Turnstile streaming algorithms might as well be linear sketches (YL, HLN, DPW), pp. 174–183.
SIGMODSIGMOD-2013-TanMWYYZ #in the cloud #named #realtime
Resa: realtime elastic streaming analytics in the cloud (TT, RTBM, MW, YY, YY, ZZ), pp. 1287–1288.
VLDBVLDB-2013-DuttaNB #approach #approximate #data type #detection
Streaming Quotient Filter: A Near Optimal Approximate Duplicate Detection Approach for Data Streams (SD, AN, SKB), pp. 589–600.
VLDBVLDB-2013-SantosTCG #distributed #named
DiAl: Distributed Streaming Analytics Anywhere, Anytime (IS, MT, BC, JG), pp. 1386–1389.
VLDBVLDB-2013-SariyuceGJWC #algorithm #composition
Streaming Algorithms for k-core Decomposition (AES, BG, GJS, KLW, ÜVÇ), pp. 433–444.
VLDBVLDB-2013-SundaramTSMIMD #parallel #similarity #twitter #using
Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing (NS, AT, NS, TM, PI, SM, PD), pp. 1930–1941.
ICALPICALP-v1-2013-BravermanOV #how #question
How Hard Is Counting Triangles in the Streaming Model? (VB, RO, DV), pp. 244–254.
ICALPICALP-v1-2013-GurR #complexity
Arthur-Merlin Streaming Complexity (TG, RR), pp. 528–539.
ICALPICALP-v1-2013-KonradR #approximate #communication
Approximating Semi-matchings in Streaming and in Two-Party Communication (CK, AR), pp. 637–649.
CIKMCIKM-2013-DerakhshanSS #data type #performance
A new operator for efficient stream-relation join processing in data streaming engines (RD, AS, BS), pp. 793–798.
CIKMCIKM-2013-TangwongsanPT #graph #parallel
Parallel triangle counting in massive streaming graphs (KT, AP, ST), pp. 781–786.
CIKMCIKM-2013-XieSYPZ #correlation #detection
Local correlation detection with linearity enhancement in streaming data (QX, SS, BY, CP, XZ), pp. 309–318.
CIKMCIKM-2013-YuanWJL #clustering #graph #performance
Efficient processing of streaming graphs for evolution-aware clustering (MY, KLW, GJS, YL), pp. 319–328.
CIKMCIKM-2013-ZhangLL #performance #privacy #robust
An efficient and robust privacy protection technique for massive streaming choice-based information (JZ, XL, YL), pp. 1169–1172.
KDDKDD-2013-JhaSP #algorithm #performance #using
A space efficient streaming algorithm for triangle counting using the birthday paradox (MJ, CS, AP), pp. 589–597.
ICMTICMT-2013-CuadradoL #challenge #model transformation
Streaming Model Transformations: Scenarios, Challenges and Initial Solutions (JSC, JdL), pp. 1–16.
SACSAC-2013-ProvensiEVR #adaptation #fuzzy #policy #using #video
Improving context interpretation by using fuzzy policies: the case of adaptive video streaming (LP, FE, RV, RR), pp. 415–422.
DACDAC-2013-SinghDK #energy #execution #multi #optimisation
Energy optimization by exploiting execution slacks in streaming applications on multiprocessor systems (AKS, AD, AK), p. 7.
DACDAC-2013-ZhaiBS #parallel #realtime
Exploiting just-enough parallelism when mapping streaming applications in hard real-time systems (JTZ, MB, TS), p. 8.
DATEDATE-2013-HeLLHY #synthesis
Utilizing voltage-frequency islands in C-to-RTL synthesis for streaming applications (XH, SL, YL, XSH, HY), pp. 992–995.
DATEDATE-2013-ShenQ #energy #performance #smarttech #video
User-aware energy efficient streaming strategy for smartphone based video playback applications (HS, QQ), pp. 258–261.
DATEDATE-2013-YetimMM
Extracting useful computation from error-prone processors for streaming applications (YY, MM, SM), pp. 202–207.
PDPPDP-2013-AtaeeGP #algorithm #multi #named #reliability #replication #scalability
ReStream — A Replication Algorithm for Reliable and Scalable Multimedia Streaming (SA, BG, FP), pp. 68–76.
PDPPDP-2013-EittenbergerSK #analysis #network #peer-to-peer
Location-Aware Traffic Analysis of a Peer-to-Peer Streaming Application in a HSPA Network (PME, KMS, URK), pp. 444–448.
PLOSPLOS-2013-BurtsevMER #analysis #named #performance
Weir: a streaming language for performance analysis (AB, NM, EE, RR), p. 6.
PPoPPPPoPP-2013-PadmanabhanCC #composition
Decomposition techniques for optimal design-space exploration of streaming applications (SP, YC, RDC), pp. 285–286.
SOSPSOSP-2013-RoyMZ #graph #named #using
X-Stream: edge-centric graph processing using streaming partitions (AR, IM, WZ), pp. 472–488.
SOSPSOSP-2013-ZahariaDLHSS #fault tolerance #scalability
Discretized streams: fault-tolerant streaming computation at scale (MZ, TD, HL, TH, SS, IS), pp. 423–438.
VLDBVLDB-2012-AngelKSS #identification #maintenance #realtime
Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification (AA, NK, NS, DS), pp. 574–585.
VLDBVLDB-2012-BahmaniKV #pipes and filters
Densest Subgraph in Streaming and MapReduce (BB, RK, SV), pp. 454–465.
VLDBVLDB-2012-LiarouIMK #named #online
MonetDB/DataCell: Online Analytics in a Streaming Column-Store (EL, SI, SM, MLK), pp. 1910–1913.
ICALPICALP-v1-2012-HalldorssonSSW #approximate #clique #communication #complexity
Streaming and Communication Complexity of Clique Approximation (MMH, XS, MS, CW), pp. 449–460.
ICALPICALP-v2-2012-AlurD #transducer
Streaming Tree Transducers (RA, LD), pp. 42–53.
CHICHI-2012-SoloveySSSFJ #interactive #named
Brainput: enhancing interactive systems with streaming fnirs brain input (ETS, PWS, MS, AS, SF, RJKJ), pp. 2193–2202.
ICPRICPR-2012-Havens #approximate #kernel
Approximation of kernel k-means for streaming data (TCH), pp. 509–512.
ICPRICPR-2012-KunchevaF #detection #feature model #multi
PCA feature extraction for change detection in multidimensional unlabelled streaming data (LIK, WJF), pp. 1140–1143.
KDDKDD-2012-StantonK #clustering #distributed #graph #scalability
Streaming graph partitioning for large distributed graphs (IS, GK), pp. 1222–1230.
KDDKDD-2012-YuDSW #feature model #mining
Mining emerging patterns by streaming feature selection (KY, WD, DAS, XW), pp. 60–68.
SIGIRSIGIR-2012-LiebermanS #adaptation
Adaptive context features for toponym resolution in streaming news (MDL, HS), pp. 731–740.
OOPSLAOOPSLA-2012-BocqD #monad #named #network #process #using #virtual machine
Molecule: using monadic and streaming I/O to compose process networks on the JVM (SB, KD), pp. 315–334.
DACDAC-2012-ChenZCZX #mobile #scalability #video
Quality-retaining OLED dynamic voltage scaling for video streaming applications on mobile devices (XC, JZ, YC, MZ, CJX), pp. 1000–1005.
DACDAC-2012-ZuluagaMP #generative #network #sorting
Computer generation of streaming sorting networks (MZ, PAM, MP), pp. 1245–1253.
DATEDATE-2012-BamakhramaZNS #automation #design #embedded #realtime
A methodology for automated design of hard-real-time embedded streaming systems (MB, JTZ, HN, TS), pp. 941–946.
DATEDATE-2012-CongHLZZ #replication #source code
Combining module selection and replication for throughput-driven streaming programs (JC, MH, BL, PZ, YZ), pp. 1018–1023.
DATEDATE-2012-Gamatie #design #using
Design of streaming applications on MPSoCs using abstract clocks (AG), pp. 763–768.
LCTESLCTES-2012-HashemiFGE #embedded #named #scalability
FORMLESS: scalable utilization of embedded manycores in streaming applications (MH, MHF, SG, CE), pp. 71–78.
PDPPDP-2012-EittenbergerMK
Raptor Codes for P2P Streaming (PME, TM, URK), pp. 327–332.
PPoPPPPoPP-2012-BuhlerALC #concurrent #performance
Efficient deadlock avoidance for streaming computation with filtering (JDB, KA, PL, RDC), pp. 235–246.
PPoPPPPoPP-2012-HuynhHWG #framework #multi #scalability
Scalable framework for mapping streaming applications onto multi-GPU systems (HPH, AH, WFW, RSMG), pp. 1–10.
VLDBVLDB-2012-CormodeTY11 #interactive #proving #verification
Verifying Computations with Streaming Interactive Proofs (GC, JT, KY), pp. 25–36.
VLDBVLDB-2012-YangRW11 #clustering #summary
Summarization and Matching of Density-Based Clusters in Streaming Environments (DY, EAR, MOW), pp. 121–132.
ICALPICALP-v2-2011-AlurD #nondeterminism #string #transducer
Nondeterministic Streaming String Transducers (RA, JVD), pp. 1–20.
CIKMCIKM-2011-WattanakitrungrojL #clustering #data type
Memory-less unsupervised clustering for data streaming by versatile ellipsoidal function (NW, CL), pp. 967–972.
SIGIRSIGIR-2011-LiebermanS #multi #recognition
Multifaceted toponym recognition for streaming news (MDL, HS), pp. 843–852.
POPLPOPL-2011-AlurC #algorithm #source code #transducer #verification
Streaming transducers for algorithmic verification of single-pass list-processing programs (RA, PC), pp. 599–610.
DACDAC-2011-ZhaiNS #adaptation #modelling #network #process
Modeling adaptive streaming applications with parameterized polyhedral process networks (JTZ, HN, TS), pp. 116–121.
DATEDATE-2011-ChiuSH #constraints #pipes and filters #precedence #realtime #synthesis
Pipeline schedule synthesis for real-time streaming tasks with inter/intra-instance precedence constraints (YSC, CSS, SHH), pp. 1321–1326.
DATEDATE-2011-KesturDN #named
SHARC: A streaming model for FPGA accelerators and its application to Saliency (SK, DD, VN), pp. 1237–1242.
DATEDATE-2011-KhatibA #design
Buffering implications for the design space of streaming MEMS storage (MGK, LA), pp. 253–256.
HPCAHPCA-2011-HouZHWFGC #challenge #data type #performance
Efficient data streaming with on-chip accelerators: Opportunities and challenges (RH, LZ, MCH, KW, HF, YG, XC), pp. 312–320.
PDPPDP-2011-LobeirasAD #architecture #implementation
FFT Implementation on a Streaming Architecture (JL, MA, RD), pp. 119–126.
PDPPDP-2011-Schuele #execution #manycore #parallel #performance
Efficient Parallel Execution of Streaming Applications on Multi-core Processors (TS), pp. 231–238.
CSLCSL-2011-JeffreyR
The Lax Braided Structure of Streaming I/O (AJ, JR), pp. 292–306.
SIGMODSIGMOD-2010-CastellanosWDG #framework #information management #named #platform
SIE-OBI: a streaming information extraction platform for operational business intelligence (MC, SW, UD, CG), pp. 1105–1110.
VLDBVLDB-2010-AkdereCU #predict #query
Database-support for Continuous Prediction Queries over Streaming Data (MA, , EU), pp. 1291–1301.
VLDBVLDB-2010-FuscoSV #named #network #on the fly
Net-Fli: On-the-fly Compression, Archiving and Indexing of Streaming Network Traffic (FF, MPS, MV), pp. 1382–1393.
ICALPICALP-v1-2010-HalldorssonHLS #algorithm #independence #set
Streaming Algorithms for Independent Sets (BVH, MMH, EL, MS), pp. 641–652.
LATALATA-2010-GagieG #grammarware
Grammar-Based Compression in a Streaming Model (TG, PG), pp. 273–284.
ICEISICEIS-DISI-2010-PreisslerHL #data type
Process-based Data Streaming in Service-oriented Environments — Application and Technique (SP, DH, WL), pp. 40–49.
ICEISICEIS-J-2010-PreisslerHL10a #concept #execution #process #xml
An XML-Based Streaming Concept for Business Process Execution (SP, DH, WL), pp. 60–75.
CIKMCIKM-2010-ChongQSBNZ #evaluation #query #rdf
Open user schema guided evaluation of streaming RDF queries (ZC, GQ, HS, JB, WN, AZ), pp. 1281–1284.
ICMLICML-2010-WuYWD #feature model #online
Online Streaming Feature Selection (XW, KY, HW, WD), pp. 1159–1166.
SACSAC-2010-LenzLS #named #network #video
SeRViSO: a selective retransmission scheme for video streaming in overlay networks (CEL, LCL, FAS), pp. 694–698.
SACSAC-2010-MarascuML #approximate #performance #set
A fast approximation strategy for summarizing a set of streaming time series (AM, FM, YL), pp. 1617–1621.
ASPLOSASPLOS-2010-HormatiCWKRMM #named
MacroSS: macro-SIMDization of streaming applications (AH, YC, MW, MK, RMR, TNM, SAM), pp. 285–296.
DATEDATE-2010-ZhuSJ #configuration management #cpu #design #performance
Pareto efficient design for reconfigurable streaming applications on CPU/FPGAs (JZ, IS, AJ), pp. 1035–1040.
HPDCHPDC-2010-LiewAHH #data type #distributed #graph #optimisation #parallel #towards #using
Towards optimising distributed data streaming graphs using parallel streams (CSL, MPA, JIvH, LH), pp. 725–736.
LCTESLCTES-2010-ForoozannejadHHG #analysis
Look into details: the benefits of fine-grain streaming buffer analysis (MHF, MH, TLH, SG), pp. 27–36.
PPoPPPPoPP-2010-AleenSP #execution #predict
Input-driven dynamic execution prediction of streaming applications (FA, MS, SP), pp. 315–324.
STOCSTOC-2010-MagniezMN
Recognizing well-parenthesized expressions in the streaming model (FM, CM, AN), pp. 261–270.
VLDBVLDB-2009-SarmaLNX #algorithm #multi #random
Randomized Multi-pass Streaming Skyline Algorithms (ADS, AL, DN, J(X), pp. 85–96.
VLDBVLDB-2009-YangRW #execution #mining #multi
A Shared Execution Strategy for Multiple Pattern Mining Requests over Streaming Data (DY, EAR, MOW), pp. 874–885.
ICALPICALP-v1-2009-BecchettiK #analysis
Competitive Analysis of Aggregate Max in Windowed Streaming (LB, EK), pp. 156–170.
FDGFDG-2009-Claypool #complexity #game studies #video
Motion and scene complexity for streaming video games (MC), pp. 34–41.
KDDKDD-2009-YaoMM #documentation #model inference #performance #topic
Efficient methods for topic model inference on streaming document collections (LY, DMM, AM), pp. 937–946.
KDDKDD-2009-ZhangFPGS #towards
Toward autonomic grids: analyzing the job flow with affinity streaming (XZ, CF, JP, CGR, MS), pp. 987–996.
MLDMMLDM-2009-LiHLG #concept #detection #random
Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees (PPL, XH, QL, YG), pp. 236–250.
SACSAC-2009-HalleV #monitoring #runtime #using #web #web service #xml
Runtime monitoring of web service choreographies using streaming XML (SH, RV), pp. 2118–2125.
DATEDATE-2009-HaastregtK #automation #c #hardware #network #process #synthesis
Automated synthesis of streaming C applications to process networks in hardware (SvH, BK), pp. 890–893.
DATEDATE-2009-MilderHP #automation #generative #permutation
Automatic generation of streaming datapaths for arbitrary fixed permutations (PAM, JCH, MP), pp. 1118–1123.
DATEDATE-2009-ZhuSJ #architecture #cpu #hybrid #realtime #scheduling
Buffer minimization of real-time streaming applications scheduling on hybrid CPU/FPGA architectures (JZ, IS, AJ), pp. 1506–1511.
HPCAHPCA-2009-WenischFAFM #memory management #metadata
Practical off-chip meta-data for temporal memory streaming (TFW, MF, AA, BF, AM), pp. 79–90.
STOCSTOC-2009-ClarksonW #algebra #linear
Numerical linear algebra in the streaming model (KLC, DPW), pp. 205–214.
WICSAWICSA-2008-GortonWAC #data type #framework #integration #performance #platform
The MeDICi Integration Framework: A Platform for High Performance Data Streaming Applications (IG, AW, JA, JC), pp. 95–104.
SIGMODSIGMOD-2008-OConnell #algorithm #challenge #optimisation
Extreme streaming: business optimization driving algorithmic challenges (WO), pp. 13–14.
SIGMODSIGMOD-2008-SarkasDKT #category theory
Categorical skylines for streaming data (NS, GD, NK, AKHT), pp. 239–250.
VLDBVLDB-2008-HanJHL #named #tuple #xml
StreamTX: extracting tuples from streaming XML data (WSH, HJ, HH, QL), pp. 289–300.
VLDBVLDB-2008-JainMSGWBCCTZ #sql #standard #towards
Towards a streaming SQL standard (NJ, SM, AS, JG, JW, HB, , MC, RT, SBZ), pp. 1379–1390.
SOFTVISSOFTVIS-2008-PauwAA #named #scalability #visualisation
Streamsight: a visualization tool for large-scale streaming applications (WDP, HA, LA), pp. 125–134.
DATEDATE-2008-HolzenspiesHKS #multi #runtime
Run-time Spatial Mapping of Streaming Applications to a Heterogeneous Multi-Processor System-on-Chip (MPSOC) (PKFH, JH, JK, GJMS), pp. 212–217.
DATEDATE-2008-MoonenBBM #multi
Cache Aware Mapping of Streaming Applications on a Multiprocessor System-on-Chip (AM, MB, RvdB, JLvM), pp. 300–305.
DATEDATE-2008-MuirAL #automation #pipes and filters
Automated Dynamic Throughput-constrained Structural-level Pipelining in Streaming Applications (MM, TA, IL), pp. 1358–1361.
DATEDATE-2008-MulasPBCABAM #architecture #multi #policy
Thermal Balancing Policy for Streaming Computing on Multiprocessor Architectures (FM, MP, MB, SC, AA, LB, DA, GDM), pp. 734–739.
SIGMODSIGMOD-2007-CormodeG07a #data type #distributed #query
Streaming in a connected world: querying and tracking distributed data streams (GC, MNG), pp. 1178–1181.
VLDBVLDB-2007-KochSS #evaluation #xquery
The GCX System: Dynamic Buffer Minimization in Streaming XQuery Evaluation (CK, SS, MS), pp. 1378–1381.
ICALPICALP-2007-Elkin #algorithm #maintenance
Streaming and Fully Dynamic Centralized Algorithms for Constructing and Maintaining Sparse Spanners (ME), pp. 716–727.
ICALPICALP-2007-GuhaM #bound #estimation #multi
Lower Bounds for Quantile Estimation in Random-Order and Multi-pass Streaming (SG, AM), pp. 704–715.
HCIHCI-MIE-2007-YamaguchiSS #reliability #video
Reliable Partner System Always Providing Users with Companionship Through Video Streaming (TY, KS, HS), pp. 1010–1018.
ICMLICML-2007-HaiderBS #clustering #detection #email
Supervised clustering of streaming data for email batch detection (PH, UB, TS), pp. 345–352.
SACSAC-2007-ZhangZZMY #algorithm #random
A priority random sampling algorithm for time-based sliding windows over weighted streaming data (LZ, ZL, YQZ, YM, ZY), pp. 453–456.
HPDCHPDC-2007-VuGLN #metric #multi #scalability
Measurement of a large-scale overlay for multimedia streaming (LV, IG, JL, KN), pp. 241–242.
LCTESLCTES-2007-HuangHG #embedded #energy #execution #optimisation #pipes and filters #throughput
Joint throughput and energy optimization for pipelined execution of embedded streaming applications (PKH, MH, SG), pp. 137–139.
PPoPPPPoPP-2007-ZhuCA #fault tolerance #grid
Supporting fault-tolerance in streaming grid applications (QZ, LC, GA), pp. 156–157.
SIGMODSIGMOD-2006-DengR #approximate #detection #using
Approximately detecting duplicates for streaming data using stable bloom filters (FD, DR), pp. 25–36.
VLDBVLDB-2006-CormodeG
Streaming in a Connected World (GC, MNG), p. 1266.
ICEISICEIS-DISI-2006-SeoCSRZKB #performance #reliability
Reliable Performance Data Collection for Streaming Media Services (BS, MC, MS, SR, RZ, LIK, NB), pp. 124–129.
ICEISICEIS-J-2006-SeoCSRZKB06a #capacity
Evaluating Server Capacity for Streaming Media Services (BS, MC, MS, SR, RZ, LIK, NB), pp. 112–131.
CIKMCIKM-2006-HeinzS #kernel #resource management
Resource-aware kernel density estimators over streaming data (CH, BS), pp. 870–871.
QAPLQAPL-2006-ZhangH #analysis #formal method #protocol
Formal Analysis of Streaming Downloading Protocol for System Upgrading (MZ, DVH), pp. 205–224.
SACSAC-2006-ZhaiLL #data access #mobile #statistics
Statistical buffering for streaming media data access in a mobile environment (JZ, XL, QL), pp. 1161–1165.
CGOCGO-2006-LiaoDWL #multi
Data and Computation Transformations for Brook Streaming Applications on Multiprocessors (SWL, ZD, GW, GYL), pp. 196–207.
PDPPDP-2006-LinckMBDS #estimation #network #quality #video
Video Quality Estimation of DCCP Streaming over Wireless Networks (SL, EM, JB, ED, FS), pp. 405–412.
DocEngDocEng-2005-GenevesR #compilation #policy #xpath
Compiling XPath for streaming access policy (PG, KHR), pp. 52–54.
VLDBVLDB-2005-LiA #evaluation #performance #xquery
Efficient Evaluation of XQuery over Streaming Data (XL, GA), pp. 265–276.
VLDBVLDB-2005-PapadimitriouSF #multi
Streaming Pattern Discovery in Multiple Time-Series (SP, JS, CF), pp. 697–708.
ICALPICALP-2005-GroheKS #bound #memory management #query
Tight Lower Bounds for Query Processing on Streaming and External Memory Data (MG, CK, NS), pp. 1076–1088.
KDDKDD-2005-ZhouFSU #feature model #using
Streaming feature selection using alpha-investing (JZ, DPF, RAS, LHU), pp. 384–393.
SACSAC-2005-GaoWW #evaluation #quality
Quality-driven evaluation of trigger conditions on streaming time series (LG, MW, XSW), pp. 563–567.
DATEDATE-2005-BurchardHC #memory management #realtime
A Real-Time Streaming Memory Controller (AB, EHN, AC), pp. 20–25.
DATEDATE-2005-ChakrabortyT #analysis #scheduling
A New Task Model for Streaming Applications and Its Schedulability Analysis (SC, LT), pp. 486–491.
HPDCHPDC-2005-LiuPV #distributed #query
Distributed streaming query planner in Calder system (YL, BP, NNV), pp. 316–317.
HPDCHPDC-2005-LuCSG #validation
A streaming validation model for SOAP digital signature (WL, KC, AS, DG), pp. 243–252.
SIGMODSIGMOD-2004-JohnsonCKMSS
Holistic UDAFs at streaming speeds (GC, TJ, FK, SM, OS, DS), pp. 35–46.
VLDBVLDB-2004-GuhaKS #approximate #named
XWAVE: Approximate Extended Wavelets for Streaming Data (SG, CK, KS), pp. 288–299.
VLDBVLDB-2004-KochSSS04a #named #optimisation #xml #xquery
FluXQuery: An Optimizing XQuery Processor for Streaming XML Data (CK, SS, NS, BS), pp. 1309–1312.
SACSAC-2004-BerfieldBC #mobile
Profile and context filtering of streaming data for a mobile personal assistant (AB, JB, PKC), pp. 1615–1616.
SACSAC-2004-ShinK #adaptation #effectiveness #multi
Cost effective transcoding for QoS adaptive multimedia streaming (IS, KK), pp. 1238–1241.
DATEDATE-v1-2004-IranliCP #approach #energy #game studies #video
A Game Theoretic Approach to Low Energy Wireless Video Streaming (AI, KC, MP), pp. 696–697.
SIGMODSIGMOD-2003-PengC #query #xpath
XPath Queries on Streaming Data (FP, SSC), pp. 431–442.
VLDBVLDB-2003-FlorescuHKLRWCSA #xquery
The BEA/XQRL Streaming XQuery Processor (DF, CH, DK, PL, FR, TW, MJC, AS, GA), pp. 997–1008.
VLDBVLDB-2003-ShahDR #approach #performance
An Efficient and Resilient Approach to Filtering and Disseminating Streaming Data (SS, SD, KR), pp. 57–68.
VLDBVLDB-2003-ViglasNB #multi #query
Maximizing the Output Rate of Multi-Way Join Queries over Streaming Information Sources (SV, JFN, JB), pp. 285–296.
ICEISICEIS-v1-2003-WongL #multi #performance #recursion #video
Recursive Patching — An Efficient Technique for Multicast Video Streaming (YWW, JYBL), pp. 306–312.
KDDKDD-2003-JinA #performance
Efficient decision tree construction on streaming data (RJ, GA), pp. 571–576.
SACSAC-2003-Zimmermann
Streaming of DivX AVI Movies (RZ), pp. 979–982.
GPCEGPCE-2003-ConselHRSYP #approach #domain-specific language #named #specification
Spidle: A DSL Approach to Specifying Streaming Applications (CC, HH, LR, LS, HY, CP), pp. 1–17.
DACDAC-2003-ChoiKP #energy
Energy-aware MPEG-4 FGS streaming (KC, KK, MP), pp. 912–915.
DATEDATE-2003-KuacharoenMM
Software Streaming via Block Streaming (PK, VJM, VKM), pp. 10912–10917.
PDPPDP-2003-BernabeGG #3d #execution
Reducing 3D Wavelet Transform Execution Time through the Streaming SIMD Extensions (GB, JMG, JG), pp. 49–56.
STOCSTOC-2003-CharikarOP #algorithm #clustering #problem
Better streaming algorithms for clustering problems (MC, LO, RP), pp. 30–39.
PODSPODS-2002-SegoufinV #documentation #validation #xml
Validating Streaming XML Documents (LS, VV), pp. 53–64.
SIGMODSIGMOD-2002-GaoW #query #similarity
Continually evaluating similarity-based pattern queries on a streaming time series (LG, XSW), pp. 370–381.
SIGMODSIGMOD-2002-ViglasN #optimisation #query
Rate-based query optimization for streaming information sources (SV, JFN), pp. 37–48.
VLDBVLDB-2002-ChandrasekaranF #query
Streaming Queries over Streaming Data (SC, MJF), pp. 203–214.
CIKMCIKM-2002-GaoYW #nearest neighbour #query
Evaluating continuous nearest neighbor queries for streaming time series via pre-fetching (LG, ZY, XSW), pp. 485–492.
CIKMCIKM-2002-LeeCHT #evaluation #multi #performance #query #xml
Efficient evaluation of multiple queries on streaming XML data (MLL, BCC, WH, KLT), pp. 118–125.
ICPRICPR-v4-2002-HuangT02a #array #multi #recognition #using #video
Streaming Face Recognition Using Multicamera Video Arrays (KSH, MMT), pp. 213–216.
SACSAC-2002-HuangHC #adaptation
A proxy-based adaptive flow control scheme for media streaming (CMH, THH, CKC), pp. 750–754.
CCCC-2002-ThiesKA #named
StreamIt: A Language for Streaming Applications (WT, MK, SPA), pp. 179–196.
ICEISICEIS-v2-2001-CurranP #mobile
Active Proxies for Streaming Media to Mobile Devices (KC, GP), pp. 1133–1138.
KDDKDD-2001-StreetK #algorithm #classification #scalability
A streaming ensemble algorithm (SEA) for large-scale classification (WNS, YK), pp. 377–382.
SACSAC-2001-NakanoHSN #effectiveness #hypermedia #protocol #web
Extending hypertext streaming protocol to realize effective web page transmission via a chaching proxy (TN, KH, SS, SN), pp. 440–445.
DATEDATE-2001-AcquavivaBR #adaptation #algorithm #multi #power management
An adaptive algorithm for low-power streaming multimedia processing (AA, LB, BR), pp. 273–279.
DATEDATE-2001-MinatoI #combinator #problem #scalability
Streaming BDD manipulation for large-scale combinatorial problems (SiM, SI), pp. 702–707.
TOOLSTOOLS-PACIFIC-2000-LuiGAO #component #framework #semantics
Component Based Application Framework for Systems Utilising the Streaming Data Passing Semantic (AKL, MWG, TAA, MJO), pp. 328–339.
AdaEuropeAdaEurope-2000-KienzleR #ada #on the #persistent #reliability
On Persistent and Reliable Streaming in Ada (JK, ABR), pp. 82–95.
HPCAHPCA-1998-Arpaci-DusseauACHP #architecture #clustering #comparison
The Architectural Costs of Streaming I/O: A Comparison of Workstations, Clusters, and SMPs (RHAD, ACAD, DEC, JMH, DAP), pp. 90–101.
ASPLOSASPLOS-1991-BenitezD #code generation
Code Generation for Streaming: An Access/Execute Mechanism (MEB, JWD), pp. 132–141.

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