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| 2012 | ||
|---|---|---|
| 187 | Wenjing Ma, Sriram Krishnamoorthy, Gagan Agrawal: Parameterized micro-benchmarking: an auto-tuning approach for complex applications. Conf. Computing Frontiers 2012: 213-222 | |
| 186 | Vignesh T. Ravi, Wenjing Ma, David Chiu, Gagan Agrawal: Compiler and runtime support for enabling reduction computations on heterogeneous systems. Concurrency and Computation: Practice and Experience 24(5): 463-480 (2012) | |
| 2011 | ||
| 185 | Wenjing Ma, Sriram Krishnamoorthy, Gagan Agrawal: Practical Loop Transformations for Tensor Contraction Expressions on Multi-level Memory Hierarchies. CC 2011: 266-285 | |
| 184 | David Chiu, Apeksha Shetty, Gagan Agrawal: Evaluating and Optimizing Indexing Schemes for a Cloud-Based Elastic Key-Value Store. CCGRID 2011: 362-371 | |
| 183 | Wei Jiang, Gagan Agrawal: Ex-MATE: Data Intensive Computing with Large Reduction Objects and Its Application to Graph Mining. CCGRID 2011: 475-484 | |
| 182 | Fan Wang, Gagan Agrawal: Effective stratification for low selectivity queries on deep web data sources. CIKM 2011: 1455-1464 | |
| 181 | Tekin Bicer, David Chiu, Gagan Agrawal: A Framework for Data-Intensive Computing with Cloud Bursting. CLUSTER 2011: 169-177 | |
| 180 | Fan Wang, Gagan Agrawal: Effective and efficient sampling methods for deep web aggregation queries. EDBT 2011: 425-436 | |
| 179 | Aarthi Raveendran, Tekin Bicer, Gagan Agrawal: An Autonomic Framework for Time and Cost Driven Execution of MPI Programs on Cloud Environments. GRID 2011: 218-219 | |
| 178 | Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar: Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework. HPDC 2011: 217-228 | |
| 177 | Vignesh T. Ravi, Gagan Agrawal: A dynamic scheduling framework for emerging heterogeneous systems. HiPC 2011: 1-10 | |
| 176 | Xin Huo, Vignesh T. Ravi, Gagan Agrawal: Porting irregular reductions on heterogeneous CPU-GPU configurations. HiPC 2011: 1-10 | |
| 175 | Fan Wang, Gagan Agrawal: Answering Cross-Source Keyword Queries over Deep Web Data Sources. IC3 2011: 475-490 | |
| 174 | Tantan Liu, Gagan Agrawal: Active learning based frequent itemset mining over the deep web. ICDE 2011: 219-230 | |
| 173 | Xin Huo, Vignesh T. Ravi, Wenjing Ma, Gagan Agrawal: An execution strategy and optimized runtime support for parallelizing irregular reductions on modern GPUs. ICS 2011: 2-11 | |
| 172 | Fan Wang, Gagan Agrawal: Answering complex structured queries over the deep web. IDEAS 2011: 115-123 | |
| 171 | David Chiu, Travis Hall, Farhana Kabir, Gagan Agrawal: An approach towards automatic workflow composition through information retrieval. IDEAS 2011: 170-178 | |
| 170 | Bin Ren, Gagan Agrawal, Bradford L. Chamberlain, Steven J. Deitz: Translating Chapel to Use FREERIDE: A Case Study in Using an HPC Language for Data-Intensive Computing. IPDPS Workshops 2011: 1242-1249 | |
| 169 | Aarthi Raveendran, Tekin Bicer, Gagan Agrawal: A Framework for Elastic Execution of Existing MPI Programs. IPDPS Workshops 2011: 940-947 | |
| 168 | Wenjing Ma, Sriram Krishnamoorthy, Gagan Agrawal: Parameterized Micro-benchmarking: An Auto-tuning Approach for Complex Applications. PACT 2011: 181-182 | |
| 167 | Bin Ren, Gagan Agrawal: Compiling Dynamic Data Structures in Python to Enable the Use of Multi-core and Many-core Libraries. PACT 2011: 68-77 | |
| 166 | Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawal: GRace: a low-overhead mechanism for detecting data races in GPU programs. PPOPP 2011: 135-146 | |
| 165 | Tekin Bicer, David Chiu, Gagan Agrawal: Poster: a framework for data-intensive computing with cloud bursting. SC Companion 2011: 5-6 | |
| 164 | David Chiu, Travis Hall, Farhana Kabir, Gagan Agrawal: Keyword Search Support for Automating Scientific Workflow Composition. SSDBM 2011: 571-572 | |
| 163 | Ashish Nagavaram, Gagan Agrawal, Michael A. Freitas, Kelly H. Telu, Gaurang Mehta, Rajiv Mayani, Ewa Deelman: A Cloud-based Dynamic Workflow for Mass Spectrometry Data Analysis. eScience 2011: 47-54 | |
| 162 | David Chiu, Travis Hall, Farhana Kabir, Apeksha Shetty, Gagan Agrawal: Analyzing Costs and Optimizations for an Elastic Key-Value Store on Amazon Web Services. IJNGC 2(2): (2011) | |
| 2010 | ||
| 161 | Fan Wang, Gagan Agrawal: A Self-Healing Approach for a Domain-Specific Deep Web Search Tool. BIBE 2010: 20-25 | |
| 160 | Tantan Liu, Fan Wang, Gagan Agrawal: Instance Discovery and Schema Matching with Applications to Biological Deep Web Data Integration. BIBE 2010: 304-305 | |
| 159 | Wei Jiang, Vignesh T. Ravi, Gagan Agrawal: A Map-Reduce System with an Alternate API for Multi-core Environments. CCGRID 2010: 84-93 | |
| 158 | Smita Vijayakumar, Qian Zhu, Gagan Agrawal: Dynamic Resource Provisioning for Data Streaming Applications in a Cloud Environment. CloudCom 2010: 441-448 | |
| 157 | Fan Wang, Gagan Agrawal: Query Reuse Based Query Planning for Searches over the Deep Web. DEXA (2) 2010: 64-79 | |
| 156 | Tantan Liu, Fan Wang, Gagan Agrawal: Instance Discovery and Schema Matching with Applications to Biological Deep Web Data Integration. DILS 2010: 148-163 | |
| 155 | David Chiu, Gagan Agrawal: Evaluating caching and storage options on the Amazon Web Services Cloud. GRID 2010: 17-24 | |
| 154 | Smita Vijayakumar, Qian Zhu, Gagan Agrawal: Automated and dynamic application accuracy management and resource provisioning in a cloud environment. GRID 2010: 33-40 | |
| 153 | Qian Zhu, Gagan Agrawal: Resource provisioning with budget constraints for adaptive applications in cloud environments. HPDC 2010: 304-307 | |
| 152 | Wenjing Ma, Gagan Agrawal: An integer programming framework for optimizing shared memory use on GPUs. HiPC 2010: 1-10 | |
| 151 | Xin Huo, Vignesh T. Ravi, Wenjing Ma, Gagan Agrawal: Approaches for parallelizing reductions on modern GPUs. HiPC 2010: 1-10 | |
| 150 | Tantan Liu, Fan Wang, Gagan Agrawal: Stratified Sampling for Data Mining on the Deep Web. ICDM 2010: 324-333 | |
| 149 | Venkatram Ramanathan, Wenjing Ma, Vignesh T. Ravi, Tantan Liu, Gagan Agrawal: Parallelizing an Information Theoretic Co-clustering Algorithm Using a Cloud Middleware. ICDM Workshops 2010: 186-193 | |
| 148 | Tantan Liu, Fan Wang, Jiedan Zhu, Gagan Agrawal: Differential Analysis on Deep Web Data Sources. ICDM Workshops 2010: 33-40 | |
| 147 | Vignesh T. Ravi, Wenjing Ma, David Chiu, Gagan Agrawal: Compiler and runtime support for enabling generalized reduction computations on heterogeneous parallel configurations. ICS 2010: 137-146 | |
| 146 | Tekin Bicer, Wei Jiang, Gagan Agrawal: Supporting fault tolerance in a data-intensive computing middleware. IPDPS 2010: 1-12 | |
| 145 | Wenjing Ma, Gagan Agrawal: AUTO-GC: Automatic translation of data mining applications to GPU clusters. IPDPS Workshops 2010: 1-8 | |
| 144 | Wenjing Ma, Gagan Agrawal: An integer programming framework for optimizing shared memory use on GPUs. PACT 2010: 553-554 | |
| 143 | David Chiu, Apeksha Shetty, Gagan Agrawal: Elastic Cloud Caches for Accelerating Service-Oriented Computations. SC 2010: 1-11 | |
| 142 | Qian Zhu, Jiedan Zhu, Gagan Agrawal: Power-Aware Consolidation of Scientific Workflows in Virtualized Environments. SC 2010: 1-12 | |
| 141 | Qian Zhu, Gagan Agrawal: Supporting fault-tolerance for time-critical events in distributed environments. Scientific Programming 18(1): 51-76 (2010) | |
| 2009 | ||
| 140 | David Chiu, Gagan Agrawal: Hierarchical Caches for Grid Workflows. CCGRID 2009: 228-235 | |
| 139 | Vignesh T. Ravi, Gagan Agrawal: Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster. CCGRID 2009: 308-315 | |
| 138 | Wei Jiang, Vignesh T. Ravi, Gagan Agrawal: Comparing map-reduce and FREERIDE for data-intensive applications. CLUSTER 2009: 1-10 | |
| 137 | Tantan Liu, Fan Wang, Gagan Agrawal: Exploiting Parallelism to Accelerate Keyword Search on Deep-Web Sources. DILS 2009: 141-156 | |
| 136 | Fan Wang, Yuan Hong, Wenbin Zhang, Gagan Agrawal: Personality Based Latent Friendship Mining. DMIN 2009: 427-433 | |
| 135 | Vignesh T. Ravi, Gagan Agrawal: Integrating and optimizing transactional memory in a data mining middleware. HiPC 2009: 215-224 | |
| 134 | Leonid Glimcher, Vignesh T. Ravi, Gagan Agrawal: Supporting load balancing for distributed data-intensive applications. HiPC 2009: 235-244 | |
| 133 | Fan Wang, Gagan Agrawal: Extracting Output Metadata from Scientific Deep Web Data Sources. ICDM 2009: 552-561 | |
| 132 | Wenjing Ma, Gagan Agrawal: A translation system for enabling data mining applications on GPUs. ICS 2009: 400-409 | |
| 131 | David Chiu, Sagar Deshpande, Gagan Agrawal, Rongxing Li: A Dynamic Approach toward QoS-Aware Service Workflow Composition. ICWS 2009: 655-662 | |
| 130 | Qian Zhu, Gagan Agrawal: A resource allocation approach for supporting time-critical applications in grid environments. IPDPS 2009: 1-12 | |
| 129 | Wenjing Ma, Gagan Agrawal: A compiler and runtime system for enabling data mining applications on gpus. PPOPP 2009: 287-288 | |
| 128 | Qian Zhu, Gagan Agrawal: Supporting fault-tolerance for time-critical events in distributed environments. SC 2009 | |
| 127 | David Chiu, Gagan Agrawal: Enabling Ad Hoc Queries over Low-Level Scientific Data Sets. SSDBM 2009: 218-236 | |
| 126 | Fan Wang, Gagan Agrawal: SEEDEEP: A System for Exploring and Querying Scientific Deep Web Data Sources. SSDBM 2009: 74-82 | |
| 125 | Qian Zhu, Gagan Agrawal: An adaptive middleware for supporting time-critical event response. Cluster Computing 12(1): 87-100 (2009) | |
| 2008 | ||
| 124 | Wu-chi Feng, Yuanyuan Yang, Gagan Agrawal: 37th International Conference on Parallel Processing - Workshops, 8-12 September 2008, Portland, Oregon, USA IEEE Computer Society 2008 | |
| 123 | Leonid Glimcher, Gagan Agrawal: A Middleware for Developing and Deploying Scalable Remote Mining Services. CCGRID 2008: 242-249 | |
| 122 | David Chiu, Sagar Deshpande, Gagan Agrawal, Rongxing Li: Composing geoinformatics workflows with user preferences. GIS 2008: 55 | |
| 121 | David Chiu, Sagar Deshpande, Gagan Agrawal, Rongxing Li: Cost and accuracy sensitive dynamic workflow composition over grid environments. GRID 2008: 9-16 | |
| 120 | Qian Zhu, Gagan Agrawal: An Adaptive Middleware for Supporting Time-Critical Event Response. ICAC 2008: 99-108 | |
| 119 | Qian Zhu, Gagan Agrawal: Resource Allocation for Distributed Streaming Applications. ICPP 2008: 414-421 | |
| 118 | Qian Zhu, Liang Chen, Gagan Agrawal: Supporting fault-tolerance in streaming grid applications. IPDPS 2008: 1-12 | |
| 117 | Liang Chen, Han-Wei Shen, Gagan Agrawal: Supporting a visualization application on a self-adapting grid middleware. IPDPS 2008: 1-8 | |
| 116 | Xuan Zhang, Gagan Agrawal: Supporting high performance bioinformatics flat-file data processing using indices. IPDPS 2008: 1-8 | |
| 115 | Fan Wang, Gagan Agrawal, Ruoming Jin: Query Planning for Searching Inter-dependent Deep-Web Databases. SSDBM 2008: 24-41 | |
| 114 | Leonid Glimcher, Ruoming Jin, Gagan Agrawal: Middleware for data mining applications on clusters and grids. J. Parallel Distrib. Comput. 68(1): 37-53 (2008) | |
| 113 | Xingquan Zhu, Ruoming Jin, Yuri Breitbart, Gagan Agrawal: MMIS07, 08: mining multiple information sources workshop report. SIGKDD Explorations 10(2): 61-65 (2008) | |
| 2007 | ||
| 112 | Fan Wang, Ruoming Jin, Gagan Agrawal, Helen Piontkivska: Graph and Topological Structure Mining on Scientific Articles. BIBE 2007: 1318-1322 | |
| 111 | Fan Wang, Gagan Agrawal, Ruoming Jin, Helen Piontkivska: SNPMiner: A Domain-Specific Deep Web Mining Tool. BIBE 2007: 192-199 | |
| 110 | Li Weng, Ümit V. Çatalyürek, Tahsin M. Kurç, Gagan Agrawal, Joel H. Saltz: Optimizing multiple queries on scientific datasets with partial replicas. GRID 2007: 259-266 | |
| 109 | Leonid Glimcher, Gagan Agrawal: A Performance Prediction Framework for Grid-Based Data Mining Applications. IPDPS 2007: 1-10 | |
| 108 | Qian Zhu, Liang Chen, Gagan Agrawal: Supporting fault-tolerance in streaming grid applications. PPOPP 2007: 156-157 | |
| 107 | Ruoming Jin, Gagan Agrawal: Frequent Pattern Mining in Data Streams. Data Streams - Models and Algorithms 2007: 61-84 | |
| 2006 | ||
| 106 | Xuan Zhang, Gagan Agrawal: A Tool for Supporting Integration Across Multiple FlatFile Datasets. BIBE 2006: 141-148 | |
| 105 | Xuan Zhang, Ruoming Jin, Gagan Agrawal: Assigning Schema Labels Using Ontology And Hueristics. BIBE 2006: 269-280 | |
| 104 | Kaushik Sinha, Ruoming Jin, Gagan Agrawal, Helen Piontkivska: Exploratory Tools for FollowUp Studies to Microarray Experiments. BIBE 2006: 81-85 | |
| 103 | Qian Zhu, Liang Chen, Gagan Agrawal: Supporting a Real-Time Distributed Intrusion Detection Application on GATES. Euro-Par 2006: 360-370 | |
| 102 | Gagan Agrawal, Hakan Ferhatosmanoglu, Xutong Niu, Keith W. Bedford, Ron Li: A Vision for Cyberinfrastructure for Coastal Forecasting and Change Analysis. GSN 2006: 151-174 | |
| 101 | Ruoming Jin, Gagan Agrawal: Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases. ICDE 2006: 17 | |
| 100 | Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gagan Agrawal: New Sampling-Based Estimators for OLAP Queries. ICDE 2006: 18 | |
| 99 | Leonid Glimcher, Ruoming Jin, Gagan Agrawal: FREERIDE-G: Supporting Applications that Mine Remote. ICPP 2006: 109-118 | |
| 98 | Li Weng, Ümit V. Çatalyürek, Tahsin M. Kurç, Gagan Agrawal, Joel H. Saltz: Using Space and Attribute Partitioned Partial Replicas for Data Subsetting and Aggregation Queries. ICPP 2006: 271-280 | |
| 97 | Xiaogang Li, Gagan Agrawal: Parallelizing XQuery In a Cluster Environment. IDEAS 2006: 291-294 | |
| 96 | Liang Chen, Gagan Agrawal: Supporting self-adaptation in streaming data mining applications. IPDPS 2006 | |
| 95 | Liang Chen, Qian Zhu, Gagan Agrawal: Grid scheduling and protocols - Supporting dynamic migration in tightly coupled grid applications. SC 2006: 117 | |
| 94 | Liang Chen, Gagan Agrawal: A static resource allocation framework for Grid-based streaming applications. Concurrency and Computation: Practice and Experience 18(6): 653-666 (2006) | |
| 93 | Ruoming Jin, Anjan Goswami, Gagan Agrawal: Fast and exact out-of-core and distributed k-means clustering. Knowl. Inf. Syst. 10(1): 17-40 (2006) | |
| 2005 | ||
| 92 | Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal: Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets. BIBE 2005: 177-184 | |
| 91 | Li Weng, Ümit V. Çatalyürek, Tahsin M. Kurç, Gagan Agrawal, Joel H. Saltz: Servicing range queries on multidimensional datasets with partial replicas. CCGRID 2005: 726-733 | |
| 90 | Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal: Learning Layouts of Biological Datasets Semi-automatically. DILS 2005: 31-45 | |
| 89 | Xuan Zhang, Gagan Agrawal: Enabling information integration and workflows in a grid environment with automatic wrapper generation. GRID 2005: 156-163 | |
| 88 | Ruoming Jin, Gagan Agrawal: An Algorithm for In-Core Frequent Itemset Mining on Streaming Data. ICDM 2005: 210-217 | |
| 87 | Wei Du, Gagan Agrawal: Filter Decomposition for Supporting Coarse-Grained Pipelined Parallelism. ICPP 2005: 539-546 | |
| 86 | Swarup Kumar Sahoo, Gagan Agrawal: Data Centric Transformations on Non-Integer Iteration Spaces. IEEE PACT 2005: 133-142 | |
| 85 | Leonid Glimcher, Gagan Agrawal, Sameep Mehta, Ruoming Jin, Raghu Machiraju: Parallelizing a Defect Detection and Categorization Application. IPDPS 2005 | |
| 84 | Ruoming Jin, Kaushik Sinha, Gagan Agrawal: Simultaneous optimization of complex mining tasks with a knowledgeable cache. KDD 2005: 600-605 | |
| 83 | Ruoming Jin, Chao Wang, Dmitrii Polshakov, Srinivasan Parthasarathy, Gagan Agrawal: Discovering frequent topological structures from graph datasets. KDD 2005: 606-611 | |
| 82 | Xiaogang Li, Gagan Agrawal: Code Transformations for One-Pass Analysis. LCPC 2005: 377-396 | |
| 81 | Xiaogang Li, Gagan Agrawal: Efficient Evaluation of XQuery over Streaming Data. VLDB 2005: 265-276 | |
| 80 | Ruoming Jin, Ge Yang, Gagan Agrawal: Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. IEEE Trans. Knowl. Data Eng. 17(1): 71-89 (2005) | |
| 79 | Ruoming Jin, Karthikeyan Vaidyanathan, Ge Yang, Gagan Agrawal: Communication and Memory Optimal Parallel Data Cube Construction. IEEE Trans. Parallel Distrib. Syst. 16(12): 1105-1119 (2005) | |
| 78 | Ruoming Jin, Gagan Agrawal: A methodology for detailed performance modeling of reduction computations on SMP machines. Perform. Eval. 60(1-4): 73-105 (2005) | |
| 2004 | ||
| 77 | Leonid Glimcher, Gagan Agrawal: Parallelizing EM Clustering Algorithm on a Cluster of SMPs. Euro-Par 2004: 372-380 | |
| 76 | Liang Chen, Kolagatla Reddy, Gagan Agrawal: GATES: A Grid-Based Middleware for Processing Distributed Data Streams. HPDC 2004: 192-201 | |
| 75 | Li Weng, Gagan Agrawal, Ümit V. Çatalyürek, Tahsin M. Kurç, Sivaramakrishnan Narayanan, Joel H. Saltz: An Approach for Automatic Data Virtualization. HPDC 2004: 24-33 | |
| 74 | Liang Chen, Gagan Agrawal: Self-Adaptation in a Middleware for Processing Data Streams. ICAC 2004: 292-293 | |
| 73 | Anjan Goswami, Ruoming Jin, Gagan Agrawal: Fast and Exact Out-of-Core K-Means Clustering. ICDM 2004: 83-90 | |
| 72 | Wei Du, Gagan Agrawal: Packet Size Optimization for Supporting Coarse-Grained Pipelined Parallelism. ICPP 2004: 259-266 | |
| 71 | Ruoming Jin, Karthik Vaidyanathan, Ge Yang, Gagan Agrawal: Using Tiling to Scale Parallel Data Cube Construction. ICPP 2004: 365-372 | |
| 70 | Leonid Glimcher, Xuan Zhang, Gagan Agrawal: Scaling and Parallelizing a Scientific Feature Mining Application Using a Cluster Middleware. IPDPS 2004 | |
| 69 | Li Weng, Gagan Agrawal, Ümit V. Çatalyürek, Joel H. Saltz: Supporting SQL-3 Aggregations on Grid-Based Data Repositories. LCPC 2004: 283-298 | |
| 68 | Swarup Kumar Sahoo, Gagan Agrawal: Supporting XML Based High-Level Abstractions on HDF5 Datasets: A Case Study in Automatic Data Virtualization. LCPC 2004: 299-318 | |
| 67 | Liang Chen, Gagan Agrawal: Resource allocation in a middleware for streaming data. Middleware for Grid Computing 2004: 5-10 | |
| 66 | Wei Du, Gagan Agrawal: Language and Compiler Support for Adaptive Applications. SC 2004: 29 | |
| 65 | Xiaogang Li, Swarup Kumar Sahoo, Gagan Agrawal: XQuery Perspective: Using XML/XQuery for Scientific Applications and Applying Scientific Compilation Techniques. XIME-P 2004: 25-30 | |
| 2003 | ||
| 64 | Xiaogang Li, Gagan Agrawal: Using XQuery for Flat-File Based Scientific Datasets. DBPL 2003: 179-194 | |
| 63 | Ruoming Jin, Ge Yang, Gagan Agrawal: Parallel Data Cube Construction: Algorithms, Theoretical Analysis, and Experimental Evaluation. HiPC 2003: 74-84 | |
| 62 | Ruoming Jin, Ge Yang, Karthik Vaidyanathan, Gagan Agrawal: Communication and Memory Optimal Parallel Data Cube Construction. ICPP 2003: 573-580 | |
| 61 | Xiaogang Li, Renato Ferreira, Gagan Agrawal: Compiler support for efficient processing of XML datasets. ICS 2003: 42-52 | |
| 60 | Wei Du, Gagan Agrawal: Compiler Supported Coarse-Grained Pipelined Parallelism: Why and How. IPDPS 2003: 204 | |
| 59 | Ge Yang, Ruoming Jin, Gagan Agrawal: Impact of Data Distribution, Level of Parallelism, and Communication Frequency on Parallel Data Cube Construction. IPDPS 2003: 66 | |
| 58 | Xiaogang Li, Ruoming Jin, Gagan Agrawal: A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms. IPDPS 2003: 7 | |
| 57 | Ruoming Jin, Gagan Agrawal: Efficient decision tree construction on streaming data. KDD 2003: 571-576 | |
| 56 | Xiaogang Li, Gagan Agrawal: Supporting High-Level Abstractions through XML Technology. LCPC 2003: 127-146 | |
| 55 | Wei Du, Renato Ferreira, Gagan Agrawal: Compiler Support for Exploiting Coarse-Grained Pipelined Parallelism. SC 2003: 8 | |
| 54 | Tahsin M. Kurç, Feng Lee, Gagan Agrawal, Ümit V. Çatalyürek, Renato Ferreira, Joel H. Saltz: Optimizing Reduction Computations In a Distributed Environment. SC 2003: 9 | |
| 53 | Ruoming Jin, Gagan Agrawal: Communication and Memory Efficient Parallel Decision Tree Construction. SDM 2003 | |
| 52 | Ge Yang, Ruoming Jin, Gagan Agrawal: Implementing data cube construction using a cluster middleware: algorithms, implementation experience, and performance evaluation. Future Generation Comp. Syst. 19(4): 533-550 (2003) | |
| 2002 | ||
| 51 | Gagan Agrawal, Jinqian Li, Qi Su: Evaluating a Demand Driven Technique for Call Graph Construction. CC 2002: 29-45 | |
| 50 | Wei Du, Gagan Agrawal: Developing Distributed Data Mining Implementations for a Grid Environment. CCGRID 2002: 440-441 | |
| 49 | Ge Yang, Ruoming Jin, Gagan Agrawal: Implementing Data Cube Construction using a Cluster Middleware: Algorithms, Implementation Experience, and Performance Evaluation. CCGRID 2002: 84-92 | |
| 48 | Ruoming Jin, Gagan Agrawal: Shared Memory Parallelization of Decision Tree Construction Using a General Data Mining Middleware. Euro-Par 2002: 346-354 | |
| 47 | Renato Ferreira, Gagan Agrawal, Joel H. Saltz: Compiler supported high-level abstractions for sparse disk-resident datasets. ICS 2002: 241-251 | |
| 46 | Gary M. Zoppetti, Gagan Agrawal, Rishi Kumar: Compiler and Runtime Support for Irregular Reductions on a Multithreaded Architecture. IPDPS 2002 | |
| 45 | Rishi Kumar, Gagan Agrawal, Guang R. Gao: Compiling Several Classes of Communication Patterns on a Multithreaded Architecture. IPDPS 2002 | |
| 44 | Ruoming Jin, Gagan Agrawal: Design and Evaluation of a High-Level Interface for Data Mining. IPDPS 2002 | |
| 43 | Xiaogang Li, Ruoming Jin, Gagan Agrawal: Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms. LCPC 2002: 265-279 | |
| 42 | Ruoming Jin, Gagan Agrawal: Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. SDM 2002 | |
| 41 | Ruoming Jin, Gagan Agrawal: Performance prediction for random write reductions: a case study in modeling shared memory programs. SIGMETRICS 2002: 117-128 | |
| 40 | Kevin B. Theobald, Rishi Kumar, Gagan Agrawal, Gerd Heber, Ruppa K. Thulasiram, Guang R. Gao: Implementation and evaluation of a communication intensive application on the EARTH multithreaded system. Concurrency and Computation: Practice and Experience 14(3): 183-201 (2002) | |
| 39 | Renato Ferreira, Gagan Agrawal, Joel H. Saltz: Data parallel language and compiler support for data intensive applications. Parallel Computing 28(5): 725-748 (2002) | |
| 2001 | ||
| 38 | Gary M. Zoppetti, Gagan Agrawal, Rishi Kumar: Impact of Data Distribution on Performance of Irregular Reductions on Multithreaded Architectures. HPCN Europe 2001: 483-492 | |
| 37 | Renato Ferreira, Joel H. Saltz, Gagan Agrawal: Compiler and Runtime Analysis for Efficient Communication in Data Intensive Applications. IEEE PACT 2001: 231-242 | |
| 36 | Ruoming Jin, Gagan Agrawal: An efficient association mining implementation on clusters of SMP. IPDPS 2001: 156 | |
| 35 | Gagan Agrawal, Ruoming Jin, Xiaogang Li: Compiler and Middleware Support for Scalable Data Mining. LCPC 2001: 33-51 | |
| 34 | Gagan Agrawal, Liang Guo: Evaluating explicitly context-sensitive program slicing. PASTE 2001: 6-12 | |
| 33 | Gary M. Zoppetti, Gagan Agrawal: An Execution Strategy for Irregular Reductions on Multithreaded Architectures. PPSC 2001 | |
| 2000 | ||
| 32 | Gagan Agrawal: Demand-Driven Construction of Call Graphs. CC 2000: 125-140 | |
| 31 | Kevin B. Theobald, Rishi Kumar, Gagan Agrawal, Gerd Heber, Ruppa K. Thulasiram, Guang R. Gao: Developing a Communication Intensive Application on the EARTH Multithreaded Architecture (Distinguished Paper). Euro-Par 2000: 625-637 | |
| 30 | Renato Ferreira, Gagan Agrawal, Joel H. Saltz: Compiling object-oriented data intensive applications. ICS 2000: 11-21 | |
| 29 | Gary M. Zoppetti, Gagan Agrawal, Lori L. Pollock, José Nelson Amaral, Xinan Tang, Guang R. Gao: Automatic compiler techniques for thread coarsening for multithreaded architectures. ICS 2000: 306-315 | |
| 28 | Renato Ferreira, Gagan Agrawal, Ruoming Jin, Joel H. Saltz: Compiling Data Intensive Applications with Spatial Coordinates. LCPC 2000: 339-354 | |
| 27 | Gagan Agrawal, Renato Ferreira, Ruoming Jin, Joel H. Saltz: High Level Programming Methodologies for Data Intensive Computations. LCR 2000: 32-43 | |
| 26 | Kevin B. Theobald, Gagan Agrawal, Rishi Kumar, Gerd Heber, Guang R. Gao, Paul Stodghill, Keshav Pingali: Landing CG on EARTH: A Case Study of Fine-Grained Multithreading on an Evolutionary Path. SC 2000 | |
| 25 | Dixie Hisley, Gagan Agrawal, Punyam Satya-narayana, Lori L. Pollock: Porting and performance evaluation of irregular codes using OpenMP. Concurrency - Practice and Experience 12(12): 1241-1259 (2000) | |
| 1999 | ||
| 24 | Gagan Agrawal: Advanced Communication Optimaizations for Data-Parallel Programs. HPCN Europe 1999: 1139-1142 | |
| 23 | Gagan Agrawal: Simultaneous Demand-Driven Data-Flow and Call Graph Analysis. ICSM 1999: 453-462 | |
| 22 | Gary M. Zoppetti, Gagan Agrawal, Lori L. Pollock: Thresholding for Work Distribution of Recursive, Multithreaded Functions. LCPC 1999: 485-489 | |
| 21 | Gagan Agrawal: A General Interprocedural Framework for Placement of Split-Phase Large Latency Operations. IEEE Trans. Parallel Distrib. Syst. 10(4): 394-413 (1999) | |
| 20 | Gagan Agrawal: Data Distribution Analysis for Irregular and Adaptive Codes. Parallel Processing Letters 9(1): 135-146 (1999) | |
| 19 | Gagan Agrawal, Shyamala Murthy, Chandrashekar Garud: A Novel Program Representation for Interprocedural Analysis. SIGPLAN Notices 34(4): 70-76 (1999) | |
| 1998 | ||
| 18 | Gagan Agrawal: Automatic Data Partitioning for Irregular and Adaptive Applications. ICPP 1998: 587-594 | |
| 17 | Gagan Agrawal: I/O Granularity Transformations. LCPC 1998: 68-82 | |
| 16 | Dixie Hisley, Gagan Agrawal, Lori L. Pollock: Evaluating the Effectiveness of a Parallelizing Compiler. LCR 1998: 195-204 | |
| 15 | Gagan Agrawal: Interprocedural Partial Redundancy Elimination With Application to Distributed Memory Compilation. IEEE Trans. Parallel Distrib. Syst. 9(7): 609-625 (1998) | |
| 1997 | ||
| 14 | Joel H. Saltz, Gagan Agrawal, Chialin Chang, Raja Das, Guy Edjlali, Paul Havlak, Yuan-Shin Hwang, Bongki Moon, Ravi Ponnusamy, Shamik D. Sharma, Alan Sussman, Mustafa Uysal: Programming Irregular Applications: Runtime Support, Compilation and Tools. Advances in Computers 45: 105-153 (1997) | |
| 13 | Gagan Agrawal, Joel H. Saltz: Interprocedural Data Flow Based Optimizations for Distributed Memory Compilation. Softw., Pract. Exper. 27(5): 519-545 (1997) | |
| 1996 | ||
| 12 | Gagan Agrawal, Anurag Acharya, Joel H. Saltz: An Interprocedural Framework for Placement of Asynchronous I/O Operations. International Conference on Supercomputing 1996: 358-365 | |
| 1995 | ||
| 11 | Guy Edjlali, Gagan Agrawal, Alan Sussman, Joel H. Saltz: Data parallel programming in an adaptive environment. IPPS 1995: 827-832 | |
| 10 | Gagan Agrawal, Joel H. Saltz: Interprocedural Data Flow Based Optimizations for Compilation of Irregular Problems. LCPC 1995: 465-479 | |
| 9 | Gagan Agrawal, Joel H. Saltz, Raja Das: Interprocedural Partial Redundancy Elimination and its Application to Distributed Memory Compilation. PLDI 1995: 258-269 | |
| 8 | Gagan Agrawal, Joel H. Saltz: Interprocedural Compilation of Irregular Applications for Distributed Memory Machines. SC 1995 | |
| 7 | Gagan Agrawal, Pankaj Jalote: Coding-Based Replication Schemes for Distributed Systems. IEEE Trans. Parallel Distrib. Syst. 6(3): 240-251 (1995) | |
| 6 | Gagan Agrawal, Alan Sussman, Joel H. Saltz: An Integrated Runtime and Compile-Time Approach for Parallelizing Structured and Block Structured Applications. IEEE Trans. Parallel Distrib. Syst. 6(7): 747-754 (1995) | |
| 1994 | ||
| 5 | Gagan Agrawal, Joel H. Saltz: Interprocedural Communication Optimizations for Distributed Memory Compilation. LCPC 1994: 283-299 | |
| 1993 | ||
| 4 | Gagan Agrawal, Alan Sussman, Joel H. Saltz: Compiler and runtime support for structured and block structured applications. SC 1993: 578-587 | |
| 1992 | ||
| 3 | Gagan Agrawal, Pankaj Jalote: An Efficient Protocol for Voting In Distributed Systems. ICDCS 1992: 640-647 | |
| 2 | Pankaj Jalote, Gagan Agrawal: Using Coding to Support Data Resiliency in Distributed Systems. ICDE 1992: 192-199 | |
| 1 | Gagan Agrawal: Availability of Coding Based Replication Schemes. SRDS 1992: 103-110 | |
Colors in the list of coauthors
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