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Semantic ScholarViktor K. Prasanna
V. K. Prasanna Kumar
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- affiliation: University of Southern California, Los Angeles, USA
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2010 – today
- 2019
[j157]Ranjan Pal, Pan Hui, Viktor K. Prasanna:
Privacy Engineering for the Smart Micro-Grid. IEEE Trans. Knowl. Data Eng. 31(5): 965-980 (2019)- [c454]Chi Zhang, Sanmukh R. Kuppannagari, Chuanxiu Xiong, Rajgopal Kannan, Viktor K. Prasanna:
A cooperative multi-agent deep reinforcement learning framework for real-time residential load scheduling. IoTDI 2019: 59-69 - [c453]Kartik Lakhotia, Rajgopal Kannan, Sourav Pati, Viktor K. Prasanna:
GPOP: a cache and memory-efficient framework for graph processing over partitions. PPoPP 2019: 393-394 - 2018
- [j156]Muhammad Rizwan Saeed, Charalampos Chelmis, Viktor K. Prasanna:
ASQFor: Automatic SPARQL query formulation for the non-expert. AI Commun. 31(1): 19-32 (2018) - [j155]Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Optimal Discrete Net-Load Balancing in Smart Grids with High PV Penetration. TOSN 14(3-4): 24:1-24:30 (2018) - [j154]Da Tong, Viktor K. Prasanna:
Sketch Acceleration on FPGA and its Applications in Network Anomaly Detection. IEEE Trans. Parallel Distrib. Syst. 29(4): 929-942 (2018) - [c452]Ajitesh Srivastava, Robin Petering, Rajgopal Kannan, Eric Rice, Viktor K. Prasanna:
How to Stop Violence Among Homeless: Extension of Voter Model and Intervention Strategies. ASONAM 2018: 83-86 - [c451]Ajitesh Srivastava, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna:
FActCheck: Keeping Activation of Fake News at Check. AAMAS 2018: 2079-2081 - [c450]Shijie Zhou, Rajgopal Kannan, Hanqing Zeng, Viktor K. Prasanna:
An FPGA framework for edge-centric graph processing. CF 2018: 69-77 - [c449]Hanqing Zeng, Ren Chen, Chi Zhang, Viktor K. Prasanna:
A Framework for Generating High Throughput CNN Implementations on FPGAs. FPGA 2018: 117-126 - [c448]Shijie Zhou, Rajgopal Kannan, Yu Min, Viktor K. Prasanna:
FASTCF: FPGA-based Accelerator for STochastic-Gradient-Descent-based Collaborative Filtering. FPGA 2018: 259-268 - [c447]Qing Dong, Kartik Lakhotia, Hanqing Zeng, Rajgopal Karman, Viktor K. Prasanna, Guna Seetharaman:
A Fast and Efficient Parallel Algorithm for Pruned Landmark Labeling. HPEC 2018: 1-7 - [c446]Jürgen Becker, Viktor K. Prasanna, Markus Weimer, Wayne Luk, Kaveh Aasaraai, Derek Chiou:
RAW 2018 Invited Talks. IPDPS Workshops 2018: 81-82 - [c445]Muhammad Rizwan Saeed, Viktor K. Prasanna:
Extracting Entity-Specific Substructures for RDF Graph Embedding. IRI 2018: 378-385 - [c444]Chung Ming Cheung, Rajgopal Kannan, Viktor K. Prasanna:
Temporal ensemble learning of univariate methods for short term load forecasting. ISGT 2018: 1-5 - [c443]Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Risk aware net load balancing in micro grids with high DER penetration. ISGT 2018: 1-5 - [c442]Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
NO-LESS: Near optimal curtailment strategy selection for net load balancing in micro grids. ISGT 2018: 1-5 - [c441]Weiyi Sun, Hanqing Zeng, Yi-Hua Edward Yang, Viktor K. Prasanna:
Throughput-Optimized Frequency Domain CNN with Fixed-Point Quantization on FPGA. ReConFig 2018: 1-8 - [c440]Chung Ming Cheung, Wen Zhong, Chuanxiu Xiong, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Behind-the-Meter Solar Generation Disaggregation using Consumer Mixture Models. SmartGridComm 2018: 1-6 - [c439]Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Generative Adversarial Network for Synthetic Time Series Data Generation in Smart Grids. SmartGridComm 2018: 1-6 - [c438]Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating PageRank using Partition-Centric Processing. USENIX Annual Technical Conference 2018: 427-440 - [i12]Muhammad Rizwan Saeed, Charalampos Chelmis, Viktor K. Prasanna:
Not all Embeddings are created Equal: Extracting Entity-specific Substructures for RDF Graph Embedding. CoRR abs/1804.05184 (2018) - [i11]Kartik Lakhotia, Sourav Pati, Rajgopal Kannan, Viktor K. Prasanna:
GPOP: A cache- and work-efficient framework for Graph Processing Over Partitions. CoRR abs/1806.08092 (2018) - [i10]Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Accurate, Efficient and Scalable Graph Embedding. CoRR abs/1810.11899 (2018) - 2017
- [j153]Qunzhi Zhou, Yogesh Simmhan, Viktor K. Prasanna:
Knowledge-infused and consistent Complex Event Processing over real-time and persistent streams. Future Generation Comp. Syst. 76: 391-406 (2017) - [j152]Ranjan Pal, Viktor K. Prasanna:
The STREAM Mechanism for CPS Security The Case of the Smart Grid. IEEE Trans. on CAD of Integrated Circuits and Systems 36(4): 537-550 (2017) - [j151]Ren Chen, Shreyas G. Singapura, Viktor K. Prasanna:
Optimal dynamic data layouts for 2D FFT on 3D memory integrated FPGA. The Journal of Supercomputing 73(2): 652-663 (2017) - [j150]Da Tong, Yun Rock Qu, Viktor K. Prasanna:
Accelerating Decision Tree Based Traffic Classification on FPGA and Multicore Platforms. IEEE Trans. Parallel Distrib. Syst. 28(11): 3046-3059 (2017) - [j149]Ren Chen, Viktor K. Prasanna:
Computer Generation of High Throughput and Memory Efficient Sorting Designs on FPGA. IEEE Trans. Parallel Distrib. Syst. 28(11): 3100-3113 (2017) - [j148]Philip Heng Wai Leong, Hideharu Amano, Jason Helge Anderson, Koen Bertels, João M. P. Cardoso, Oliver Diessel, Guy Gogniat, Mike Hutton, JunKyu Lee, Wayne Luk, Patrick Lysaght, Marco Platzner, Viktor K. Prasanna, Tero Rissa, Cristina Silvano, Hayden Kwok-Hay So, Yu Wang:
The First 25 Years of the FPL Conference: Significant Papers. TRETS 10(2): 15:1-15:17 (2017) - [c437]Abhinav Podili, Chi Zhang, Viktor K. Prasanna:
Fast and efficient implementation of Convolutional Neural Networks on FPGA. ASAP 2017: 11-18 - [c436]Chung Ming Cheung, Palash Goyal, Viktor K. Prasanna, Arash Saber Tehrani:
OReONet: Deep convolutional network for oil reservoir optimization. BigData 2017: 1277-1282 - [c435]Aggelos Lazaris, Viktor K. Prasanna:
DeepFlow: a deep learning framework for software-defined measurement. CAN@CoNEXT 2017: 43-48 - [c434]Michail Misyrlis, Chung Ming Cheung, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Spatio-Temporal Modeling of Criminal Activity. SocialSens@CPSWeek 2017: 3-8 - [c433]
- [c432]
- [c431]Kartik Lakhotia, Shreyas G. Singapura, Rajgopal Kannan, Viktor K. Prasanna:
ReCALL: Reordered Cache Aware Locality Based Graph Processing. HiPC 2017: 273-282 - [c430]Oded Green, James Fox, Euna Kim, Federico Busato, Nicola Bombieri, Kartik Lakhotia, Shijie Zhou, Shreyas G. Singapura, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna, David A. Bader:
Quickly finding a truss in a haystack. HPEC 2017: 1-7 - [c429]Shreyas G. Singapura, Rajgopal Kannan, Viktor K. Prasanna:
Optimal data layout for block-level random accesses to scratchpad. HPEC 2017: 1-7 - [c428]Shreyas G. Singapura, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
OSCAR: Optimizing SCrAtchpad reuse for graph processing. HPEC 2017: 1-7 - [c427]Shijie Zhou, Kartik Lakhotia, Shreyas G. Singapura, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna, James Fox, Euna Kim, Oded Green, David A. Bader:
Design and implementation of parallel PageRank on multicore platforms. HPEC 2017: 1-6 - [c426]Charith Wickramaarachchi, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna:
PReSS towards a secure smart grid: Protection recommendations against smart spoofing. ISGT 2017: 1-5 - [c425]Hanqing Zeng, Chi Zhang, Viktor K. Prasanna:
Fast generation of high throughput customized deep learning accelerators on FPGAs. ReConFig 2017: 1-8 - [c424]Shijie Zhou, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating low rank matrix completion on FPGA. ReConFig 2017: 1-7 - [c423]Shijie Zhou, Viktor K. Prasanna:
Accelerating Graph Analytics on CPU-FPGA Heterogeneous Platform. SBAC-PAD 2017: 137-144 - [c422]Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Optimal net-load balancing in smart grids with high PV penetration. BuildSys@SenSys 2017: 27:1-27:10 - [p2]Muhammad Rizwan Saeed, Charalampos Chelmis, Viktor K. Prasanna:
Automatic Integration and Querying of Semantic Rich Heterogeneous Data: Laying the Foundations for Semantic Web of Things. Managing the Web of Things 2017: 251-273 - [i9]Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Optimal Net-Load Balancing in Smart Grids with High PV Penetration. CoRR abs/1709.00644 (2017) - [i8]Kartik Lakhotia, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating PageRank using Partition-Centric Processing. CoRR abs/1709.07122 (2017) - 2016
- [j147]Om Prasad Patri, Anand V. Panangadan, Vikrambhai S. Sorathia, Viktor K. Prasanna:
Sensors to Events: Semantic Modeling and Recognition of Events from Data Streams. Int. J. Semantic Computing 10(4): 461-502 (2016) - [j146]
- [j145]Yun Rock Qu, Viktor K. Prasanna:
Compact hash tables for decision-trees. Parallel Computing 54: 121-127 (2016) - [j144]Ajitesh Srivastava, Charalampos Chelmis, Viktor K. Prasanna:
Computing competing cascades on signed networks. Social Netw. Analys. Mining 6(1): 82:1-82:14 (2016) - [j143]Yun Rock Qu, Viktor K. Prasanna:
High-Performance and Dynamically Updatable Packet Classification Engine on FPGA. IEEE Trans. Parallel Distrib. Syst. 27(1): 197-209 (2016) - [j142]Yun Rock Qu, Viktor K. Prasanna:
Fast Online Set Intersection for Network Processing on FPGA. IEEE Trans. Parallel Distrib. Syst. 27(11): 3214-3225 (2016) - [j141]Ranjan Pal, Charalampos Chelmis, Marc Frîncu, Viktor K. Prasanna:
MATCH for the Prosumer Smart Grid The Algorithmics of Real-Time Power Balance. IEEE Trans. Parallel Distrib. Syst. 27(12): 3532-3546 (2016) - [j140]Ranjan Pal, Charalampos Chelmis, Marc Frîncu, Viktor K. Prasanna:
Towards Dynamic Demand Response On Efficient Consumer Grouping Algorithmics. T-SUSC 1(1): 20-34 (2016) - [c421]Saima Aman, Charalampos Chelmis, Viktor K. Prasanna:
Learning to REDUCE: A Reduced Electricity Consumption Prediction Ensemble. AAAI Workshop: AI for Smart Grids and Smart Buildings 2016 - [c420]Shreyas G. Singapura, Yi-Hua E. Yang, Anand V. Panangadan, Tamás Németh, Peter Ng, Viktor K. Prasanna:
FPGA-Based Acceleration of Pattern Matching in YARA. ARC 2016: 320-327 - [c419]Charith Wickramaarachchi, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna:
Distributed exact subgraph matching in small diameter dynamic graphs. BigData 2016: 3360-3369 - [c418]Shijie Zhou, Charalampos Chelmis, Viktor K. Prasanna:
High-Throughput and Energy-Efficient Graph Processing on FPGA. FCCM 2016: 103-110 - [c417]
- [c416]Greg Harris, Anand V. Panangadan, Viktor K. Prasanna:
GPU-Accelerated Parameter Optimization for Classification Rule Learning. FLAIRS Conference 2016: 436-441 - [c415]
- [c414]Shreyas G. Singapura, Rajgopal Kannan, Viktor K. Prasanna:
On-chip memory efficient data layout for 2D FFT on 3D memory integrated FPGA. HPEC 2016: 1-7 - [c413]Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis, Arash Saber Tehrani, Viktor K. Prasanna:
Optimal Customer Targeting for Sustainable Demand Response in Smart Grids. ICCS 2016: 324-334 - [c412]Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna:
Implementation of Learning-Based Dynamic Demand Response on a Campus Micro-Grid. IJCAI 2016: 4250-4251 - [c411]Muhammad Rizwan Saeed, Charalampos Chelmis, Viktor K. Prasanna:
Thou Shalt ASQFor and Shalt Receive the Semantic Answer. IJCAI 2016: 4264-4265 - [c410]Chi Zhang, Ren Chen, Viktor K. Prasanna:
High Throughput Large Scale Sorting on a CPU-FPGA Heterogeneous Platform. IPDPS Workshops 2016: 148-155 - [c409]Vasileios Zois, Anand V. Panangadan, Viktor K. Prasanna:
Accelerating Support Count for Association Rule Mining on GPUs. IPDPS Workshops 2016: 1423-1432 - [c408]Greg Harris, Anand V. Panangadan, Viktor K. Prasanna:
PRIMER - A Regression-Rule Learning System for Intervention Optimization. RuleML 2016: 307-321 - [c407]Charalampos Chelmis, Rajgopal Kannan, Viktor K. Prasanna:
Software defined connected prosumer communities. WF-IoT 2016: 684-685 - [c406]Ajitesh Srivastava, Charalampos Chelmis, Viktor K. Prasanna:
Mining Large Dense Subgraphs. WWW (Companion Volume) 2016: 111-112 - [i7]Qunzhi Zhou, Yogesh L. Simmhan, Viktor K. Prasanna:
Knowledge-infused and Consistent Complex Event Processing over Real-time and Persistent Streams. CoRR abs/1611.00676 (2016) - 2015
- [j139]Yun Rock Qu, Shijie Zhou, Viktor K. Prasanna:
A Decomposition-Based Approach for Scalable Many-Field Packet Classification on Multi-core Processors. International Journal of Parallel Programming 43(6): 965-987 (2015) - [j138]Da Tong, Viktor K. Prasanna:
High Throughput Sketch Based Online Heavy Hitter Detection on FPGA. SIGARCH Computer Architecture News 43(4): 70-75 (2015) - [j137]Ajitesh Srivastava, Charalampos Chelmis, Viktor K. Prasanna:
The unified model of social influence and its application in influence maximization. Social Netw. Analys. Mining 5(1): 66:1-66:15 (2015) - [j136]Alok Gautam Kumbhare, Yogesh L. Simmhan, Marc Frîncu, Viktor K. Prasanna:
Reactive Resource Provisioning Heuristics for Dynamic Dataflows on Cloud Infrastructure. IEEE Trans. Cloud Computing 3(2): 105-118 (2015) - [j135]Saima Aman, Yogesh L. Simmhan, Viktor K. Prasanna:
Holistic Measures for Evaluating Prediction Models in Smart Grids. IEEE Trans. Knowl. Data Eng. 27(2): 475-488 (2015) - [c405]Saima Aman, Charalampos Chelmis, Viktor K. Prasanna:
Influence-Driven Model for Time Series Prediction from Partial Observations. AAAI 2015: 601-607 - [c404]Charalampos Chelmis, Saima Aman, Muhammad Rizwan Saeed, Marc Frîncu, Viktor K. Prasanna:
Estimating Reduced Consumption for Dynamic Demand Response. AAAI Workshop: Computational Sustainability 2015 - [c403]Yun Rock Qu, Hao H. Zhang, Shijie Zhou, Viktor K. Prasanna:
Optimizing Many-field Packet Classification on FPGA, Multi-core General Purpose Processor, and GPU. ANCS 2015: 87-98 - [c402]
- [c401]Shreyas G. Singapura, Anand V. Panangadan, Viktor K. Prasanna:
Towards Performance Modeling of 3D Memory Integrated FPGA Architectures. ARC 2015: 443-450 - [c400]Shijie Zhou, Yun Rock Qu, Viktor K. Prasanna:
Large-scale packet classification on FPGA. ASAP 2015: 226-233 - [c399]Ajitesh Srivastava, Charalampos Chelmis, Viktor K. Prasanna:
Social Influence Computation and Maximization in Signed Networks with Competing Cascades. ASONAM 2015: 41-48 - [c398]Charalampos Chelmis, Jahanvi Kolte, Viktor K. Prasanna:
Big data analytics for demand response: Clustering over space and time. BigData 2015: 2223-2232 - [c397]Charith Wickramaarachchi, Alok Gautam Kumbhare, Marc Frîncu, Charalampos Chelmis, Viktor K. Prasanna:
Real-Time Analytics for Fast Evolving Social Graphs. CCGRID 2015: 829-834 - [c396]Yinuo Zhang, Anand V. Panangadan, Viktor K. Prasanna:
FP-CPNNQ: A Filter-Based Protocol for Continuous Probabilistic Nearest Neighbor Query. DASFAA (2) 2015: 57-73 - [c395]Yinuo Zhang, Anand V. Panangadan, Viktor K. Prasanna:
UFOMQ: An Algorithm for Querying for Similar Individuals in Heterogeneous Ontologies. DaWaK 2015: 178-189 - [c394]Chao Shang, Anand V. Panangadan, Viktor K. Prasanna:
Event Extraction from Unstructured Text Data. DEXA (1) 2015: 543-557 - [c393]Ranjan Pal, Charalampos Chelmis, Chandra Tadepalli, Marc Frîncu, Saima Aman, Viktor K. Prasanna:
Challenge: On Online Time Series Clustering for Demand Response: Optic - A Theory to Break the 'Curse of Dimensionality'. e-Energy 2015: 95-100 - [c392]Charalampos Chelmis, Muhammad Rizwan Saeed, Marc Frîncu, Viktor K. Prasanna:
Curtailment Estimation Methods for Demand Response: Lessons Learned by Comparing Apples to Oranges. e-Energy 2015: 217-218 - [c391]Marc Frîncu, Charalampos Chelmis, Muhammad Rizwan Saeed, Viktor K. Prasanna, Saima Aman, Vasileios Zois, Carol Fern, Aras Akbari:
Enabling Automated Dynamic Demand Response: From Theory to Practice. e-Energy 2015: 229-230 - [c390]Yun Rock Qu, Viktor K. Prasanna:
Enabling High Throughput and Virtualization for Traffic Classification on FPGA. FCCM 2015: 44-51 - [c389]Ren Chen, Sruja Siriyal, Viktor K. Prasanna:
Energy and Memory Efficient Mapping of Bitonic Sorting on FPGA. FPGA 2015: 240-249 - [c388]Sanmukh R. Kuppannagari, Viktor K. Prasanna:
Efficient Generation of Energy and Performance Pareto Front for FPGA Designs (Abstract Only). FPGA 2015: 273 - [c387]
- [c386]Philip Heng Wai Leong, Hideharu Amano, Jason Anderson, Koen Bertels, João M. P. Cardoso, Oliver Diessel, Guy Gogniat, Mike Hutton, JunKyu Lee, Wayne Luk, Patrick Lysaght, Marco Platzner, Viktor K. Prasanna, Tero Rissa, Cristina Silvano, Hayden Kwok-Hay So, Yu Wang:
Significant papers from the first 25 years of the FPL conference. FPL 2015: 1-3 - [c385]Yun Rock Qu, Viktor K. Prasanna:
Power-efficient range-match-based packet classification on FPGA. FPL 2015: 1-8 - [c384]Shijie Zhou, Viktor K. Prasanna:
Scalable GPU-Accelerated IPv6 Lookup Using Hierarchical Perfect Hashing. GLOBECOM 2015: 1-6 - [c383]
- [c382]Alok Gautam Kumbhare, Marc Frîncu, Yogesh L. Simmhan, Viktor K. Prasanna:
Fault-Tolerant and Elastic Streaming MapReduce with Decentralized Coordination. ICDCS 2015: 328-338 - [c381]Fabian Knirsch, Dominik Engel, Christian Neureiter, Marc Frîncu, Viktor K. Prasanna:
Model-driven Privacy Assessment in the Smart Grid. ICISSP 2015: 173-181 - [c380]
- [c379]Da Tong, Shijie Zhou, Viktor K. Prasanna:
High-Throughput Online Hash Table on FPGA. IPDPS Workshops 2015: 105-112 - [c378]Shijie Zhou, Charalampos Chelmis, Viktor K. Prasanna:
Accelerating Large-Scale Single-Source Shortest Path on FPGA. IPDPS Workshops 2015: 129-136 - [c377]Shreyas G. Singapura, Anand V. Panangadan, Viktor K. Prasanna:
Performance Modeling of Matrix Multiplication on 3D Memory Integrated FPGA. IPDPS Workshops 2015: 154-162 - [c376]Yogesh L. Simmhan, Neel Choudhury, Charith Wickramaarachchi, Alok Gautam Kumbhare, Marc Frîncu, Cauligi S. Raghavendra, Viktor K. Prasanna:
Distributed Programming over Time-Series Graphs. IPDPS 2015: 809-818 - [c375]Charith Wickramaarachchi, Charalampos Chelmis, Viktor K. Prasanna:
Empowering Fast Incremental Computation over Large Scale Dynamic Graphs. IPDPS Workshops 2015: 1166-1171 - [c374]Yinuo Zhang, Hao Wu, Anand V. Panangadan, Viktor K. Prasanna:
Integration of Heterogeneous Web Services for Event-Based Social Networks. IRI 2015: 57-63 - [c373]Chung Ming Cheung, Yinuo Zhang, Anand V. Panangadan, Viktor K. Prasanna:
Computational Cost of Querying for Related Entities in Different Ontologies. IRI 2015: 534-541 - [c372]Fabian Knirsch, Dominik Engel, Marc Frîncu, Viktor K. Prasanna:
Model-based assessment for balancing privacy requirements and operational capabilities in the smart grid. ISGT 2015: 1-5 - [c371]Ren Chen, Shreyas G. Singapura, Viktor K. Prasanna:
Optimal Dynamic Data Layouts for 2D FFT on 3D Memory Integrated FPGA. PaCT 2015: 338-348 - [c370]Greg Harris, Anand V. Panangadan, Viktor K. Prasanna:
Learning of Performance Measures from Crowd-Sourced Data with Application to Ranking of Investments. PAKDD (1) 2015: 538-549 - [c369]Ajitesh Srivastava, Ren Chen, Viktor K. Prasanna, Charalampos Chelmis:
A hybrid design for high performance large-scale sorting on FPGA. ReConFig 2015: 1-6 - [c368]Da Tong, Viktor K. Prasanna:
High throughput sketch based online heavy change detection on FPGA. ReConFig 2015: 1-8 - [c367]Shijie Zhou, Charalampos Chelmis, Viktor K. Prasanna:
Optimizing memory performance for FPGA implementation of pagerank. ReConFig 2015: 1-6 - [c366]Om Prasad Patri, Ketan Singh, Pedro A. Szekely, Anand V. Panangadan, Viktor K. Prasanna:
Personalized trip planning by integrating multimodal user-generated content. ICSC 2015: 381-388 - [c365]Saima Aman, Marc Frîncu, Charalampos Chelmis, Muhammad Usman Noor, Yogesh Simmhan, Viktor K. Prasanna:
Prediction models for dynamic demand response: Requirements, challenges, and insights. SmartGridComm 2015: 338-343 - [r6]Weirong Jiang, Viktor K. Prasanna:
Network Virtualization in Data Centers: A Data Plane Perspective. Handbook on Data Centers 2015: 327-349 - [r5]Yun Rock Qu, Shijie Zhou, Viktor K. Prasanna:
Packet Classification on Multi-core Platforms. Handbook on Data Centers 2015: 425-447 - 2014
- [j134]Charalampos Chelmis, Hao Wu, Vikram Sorathia, Viktor K. Prasanna:
Semantic Social Network Analysis for the Enterprise. Computing and Informatics 33(3): 479-502 (2014) - [j133]Nam Ma, Yinglong Xia, Viktor K. Prasanna:
Data Parallel Implementation of Belief Propagation in Factor Graphs on Multi-core Platforms. International Journal of Parallel Programming 42(1): 219-237 (2014) - [j132]