| 2026 | ACNS | Adaptive Randomized Smoothing with Certified Robustness for Mitigating Tabular Adversarial Attacks. | Nour Alhussien, Bradley Boswell, Gagan Agrawal, Ahmed Aleroud, Gokila Dorai |
| 2026 | ASPLOS | FlashMem: Supporting Modern DNN Workloads on Mobile with GPU Memory Hierarchy Optimizations. | Zhihao Shu, Md. Musfiqur Rahman Sanim, Hangyu Zheng, Kunxiong Zhu, Miao Yin, Gagan Agrawal, Wei Niu |
| 2025 | ICPP | ZTP: A Scalable and Lightweight Privacy-Preserving Blockchain via Scale-Free Quorums and Geometric Fragmentation. | Abdullah Al-Mamun, Dongfang Zhao, Gagan Agrawal, Ahmed Aleroud, Mohamed I. Ibrahem |
| 2025 | ICS | TMModel: Modeling Texture Memory and Mobile GPU Performance to Accelerate DNN Computations. | Jiexiong Guan, Zhenqing Hu, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis, Evgenia Smirni, Gang Zhou, Gagan Agrawal, Bin Ren |
| 2024 | ASPLOS | SoD | Wei Niu, Gagan Agrawal, Bin Ren |
| 2024 | ASPLOS | SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile. | Wei Niu, Md. Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren |
| 2024 | SECRYPT | Organizing Records for Retrieval in Multi-Dimensional Range Searchable Encryption. | Mahdieh Heidaripour, Ladan Kian, Maryam Rezapour, Mark Holcomb, Benjamin Fuller, Gagan Agrawal, Hoda Maleki |
| 2023 | PPoPP | End-to-End LU Factorization of Large Matrices on GPUs. | Yang Xia, Peng Jiang, Gagan Agrawal, Rajiv Ramnath |
| 2023 | SecureComm | Classify Me Correctly if You Can: Evaluating Adversarial Machine Learning Threats in NIDS. | Neea Rusch, Asma Jodeiri Akbarfam, Hoda Maleki, Gagan Agrawal, Gokila Dorai |
| 2022 | MICRO | GCD | Wei Niu, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Gagan Agrawal, Bin Ren |
| 2021 | CCGRID | Fused DSConv: Optimizing Sparse CNN Inference for Execution on Edge Devices. | Jia Guo, Radu Teodorescu, Gagan Agrawal |
| 2021 | HiPC | A Fused Inference Design for Pattern-Based Sparse CNN on Edge Devices. | Jia Guo, Radu Teodorescu, Gagan Agrawal |
| 2021 | HiPC | Shrinking Sample Search Algorithm for Automatic Tuning of GPU Kernels. | Xiang Li, Gagan Agrawal |
| 2021 | HiPC | A Programming API Implementation for Secure Data Analytics Applications with Homomorphic Encryption on GPUs. | Shuangsheng Lou, Gagan Agrawal |
| 2021 | ICFEC | Mapping IoT Applications on the Edge to Cloud Continuum with a Filter Stream Model. | Shuangsheng Lou, Gagan Agrawal |
| 2021 | PLDI | DNNFusion: accelerating deep neural networks execution with advanced operator fusion. | Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren |
| 2021 | SBAC-PAD | Sampling-based Sparse Format Selection on GPUs. | Gangyi Zhu, Gagan Agrawal |
| 2021 | SmartComp | Integrity Verification for Streaming IoT Applications with a Minimalist Logging Scheme. | Shuangsheng Lou, Nisha Panwar, Gagan Agrawal |
| 2020 | CCGRID | A Pattern-Based API for Mapping Applications to a Hierarchy of Multi-Core Devices. | Jia Guo, Radu Teodorescu, Gagan Agrawal |
| 2020 | ICS | Parallelizing pruned landmark labeling: dealing with dependencies in graph algorithms. | Ruoming Jin, Zhen Peng, Wendell Wu, Feodor F. Dragan, Gagan Agrawal, Bin Ren |
| 2020 | PPoPP | A novel data transformation and execution strategy for accelerating sparse matrix multiplication on GPUs. | Peng Jiang, Changwan Hong, Gagan Agrawal |
| 2020 | PPoPP | Scaling out speculative execution of finite-state machines with parallel merge. | Yang Xia, Peng Jiang, Gagan Agrawal |
| 2020 | SC | MoHA: a composable system for efficient in-situ analytics on heterogeneous HPC systems. | Haoyuan Xing, Gagan Agrawal, Rajiv Ramnath |
| 2019 | CC | Enabling prefix sum parallelism pattern for recurrences with principled function reconstruction. | Yang Xia, Peng Jiang, Gagan Agrawal |
| 2019 | PPoPP | Accelerating distributed stochastic gradient descent with adaptive periodic parameter averaging: poster. | Peng Jiang, Gagan Agrawal |
| 2019 | SSDBM | Accelerating array joining with integrated value-index. | Haoyuan Xing, Gagan Agrawal |
| 2018 | CGO | Conflict-free vectorization of associative irregular applications with recent SIMD architectural advances. | Peng Jiang, Gagan Agrawal |
| 2018 | HiPC | Achieving Performance and Programmability for MapReduce(-Like) Frameworks. | Jia Guo, Gagan Agrawal |
| 2018 | HiPC | A Novel Approach for Handling Soft Error in Conjugate Gradients. | Muhammed Emin Ozturk, Marissa Renardy, Yukun Li, Gagan Agrawal, Ching-Shan Chou |
| 2018 | HiPC | A Performance Prediction Framework for Irregular Applications. | Gangyi Zhu, Gagan Agrawal |
| 2018 | PPoPP | Revealing parallel scans and reductions in sequential loops through function reconstruction. | Peng Jiang, Gagan Agrawal |
| 2018 | SSDBM | COMPASS: compact array storage with value index. | Haoyuan Xing, Gagan Agrawal |
| 2017 | CCGRID | Supporting Fault-Tolerance in Presence of In-Situ Analytics. | Jiaqi Liu, Gagan Agrawal |
| 2017 | ICS | Efficient SIMD and MIMD parallelization of hash-based aggregation by conflict mitigation. | Peng Jiang, Gagan Agrawal |
| 2017 | PPoPP | Combining SIMD and Many/Multi-core Parallelism for Finite State Machines with Enumerative Speculation. | Peng Jiang, Gagan Agrawal |
| 2017 | SSDBM | DistriPlan: An Optimized Join Execution Framework for Geo-Distributed Scientific Data. | Roee Ebenstein, Gagan Agrawal |
| 2016 | CGO | Exploiting recent SIMD architectural advances for irregular applications. | Linchuan Chen, Peng Jiang, Gagan Agrawal |
| 2016 | CLUSTER | Smart-MLlib: A High-Performance Machine-Learning Library. | David Siegal, Jia Guo, Gagan Agrawal |
| 2016 | HiPC | Soft Error Detection for Iterative Applications Using Offline Training. | Jiaqi Liu, Gagan Agrawal |
| 2016 | HiPC | Fault Tolerant Frequent Pattern Mining. | Sameh Shohdy, Abhinav Vishnu, Gagan Agrawal |
| 2016 | ICDM | Ensemble of Heterogeneous Classifiers for Improving Automated Tweet Classification. | Renhao Cui, Gagan Agrawal, Rajiv Ramnath, Vinh Ngoc Khuc |
| 2016 | ICPP | Fault Tolerant Support Vector Machines. | Sameh Shohdy, Abhinav Vishnu, Gagan Agrawal |
| 2016 | ICS | Reusing Data Reorganization for Efficient SIMD Parallelization of Adaptive Irregular Applications. | Peng Jiang, Linchuan Chen, Gagan Agrawal |
| 2016 | PPoPP | User-assisted storage reuse determination for dynamic task graphs. | Mehmet Can Kurt, Bin Ren, Sriram Krishnamoorthy, Gagan Agrawal |
| 2015 | CLUSTER | RE-PAGE: Domain-Specific REplication and PArallel Processing of GEnomic Data. | Mcahid Kutlu, Gagan Agrawal |
| 2015 | CLUSTER | A Practical Approach for Handling Soft Errors in Iterative Applications. | Jiaqi Liu, Mehmet Can Kurt, Gagan Agrawal |
| 2015 | EuroPar | Rapid Tomographic Image Reconstruction via Large-Scale Parallelization. | Tekin Bicer, Doga Grsoy, Rajkumar Kettimuthu, Francesco De Carlo, Gagan Agrawal, Ian T. Foster |
| 2015 | HiPC | Algorithm Level Fault Tolerance for Molecular Dynamic Applications. | Jiaqi Liu, Gagan Agrawal |
| 2015 | HiPC | Load Balancing and Accelerating Parallel Spatial Join Operations Using Bitmap Indexing. | Sameh Shohdy, Yu Su, Gagan Agrawal |
| 2015 | HPDC | In-Situ Bitmaps Generation and Efficient Data Analysis based on Bitmaps. | Yu Su, Yi Wang, Gagan Agrawal |
| 2015 | ICPP | GEM: A Framework for Developing Shared-Memory Parallel Genomic Applications on Memory Constrained Architectures. | Mcahid Kutlu, Gagan Agrawal |
| 2015 | SC | An elegant sufficiency: load-aware differentiated scheduling of data transfers. | Rajkumar Kettimuthu, Gayane Vardoyan, Gagan Agrawal, P. Sadayappan, Ian T. Foster |
| 2015 | SC | Smart: a MapReduce-like framework for in-situ scientific analytics. | Yi Wang, Gagan Agrawal, Tekin Bicer, Wei Jiang |
| 2015 | SC | Supporting online analytics with user-defined estimation and early termination in a MapReduce-like framework. | Yi Wang, Linchuan Chen, Gagan Agrawal |
| 2015 | SSDBM | A novel approach for approximate aggregations over arrays. | Yi Wang, Yu Su, Gagan Agrawal |
| 2015 | SSDBM | SciCSM: novel contrast set mining over scientific datasets using bitmap indices. | Gangyi Zhu, Yi Wang, Gagan Agrawal |
| 2014 | CCGRID | Improving I/O Throughput of Scientific Applications Using Transparent Parallel Compression. | Tekin Bicer, Jian Yin, Gagan Agrawal |
| 2014 | CCGRID | Modeling and Optimizing Large-Scale Wide-Area Data Transfers. | Rajkumar Kettimuthu, Gayane Vardoyan, Gagan Agrawal, P. Sadayappan |
| 2014 | CCGRID | Cluster-Based SNP Calling on Large-Scale Genome Sequencing Data. | Mcahid Kutlu, Gagan Agrawal |
| 2014 | HPDC | Supporting correlation analysis on scientific datasets in parallel and distributed settings. | Yu Su, Gagan Agrawal, Jonathan Woodring, Ayan Biswas, Han-Wei Shen |
| 2014 | ICS | A programming system for xeon phis with runtime SIMD parallelization. | Xin Huo, Bin Ren, Gagan Agrawal |
| 2014 | ICS | Automating and optimizing data transfers for many-core coprocessors. | Bin Ren, Nishkam Ravi, Yi Yang, Min Feng, Gagan Agrawal, Srimat T. Chakradhar |
| 2014 | SC | DISC: A Domain-Interaction Based Programming Model with Support for Heterogeneous Execution. | Mehmet Can Kurt, Gagan Agrawal |
| 2014 | SC | Fault-Tolerant Dynamic Task Graph Scheduling. | Mehmet Can Kurt, Sriram Krishnamoorthy, Kunal Agrawal, Gagan Agrawal |
| 2014 | SSDBM | SAGA: array storage as a DB with support for structural aggregations. | Yi Wang, Arnab Nandi, Gagan Agrawal |
| 2013 | CCGRID | Supporting a Light-Weight Data Management Layer over HDF5. | Yi Wang, Yu Su, Gagan Agrawal |
| 2013 | CGO | SIMD parallelization of applications that traverse irregular data structures. | Bin Ren, Gagan Agrawal, James R. Larus, Todd Mytkowicz, Tomi Poutanen, Wolfram Schulte |
| 2013 | HPDC | Taming massive distributed datasets: data sampling using bitmap indices. | Yu Su, Gagan Agrawal, Jonathan Woodring, Kary L. Myers, Joanne Wendelberger, James P. Ahrens |
| 2013 | ICS | Efficient scheduling of recursive control flow on GPUs. | Xin Huo, Sriram Krishnamoorthy, Gagan Agrawal |
| 2013 | SC | SDQuery DSI: integrating data management support with a wide area data transfer protocol. | Yu Su, Yi Wang, Gagan Agrawal, Rajkumar Kettimuthu |
| 2012 | CCGRID | Time and Cost Sensitive Data-Intensive Computing on Hybrid Clouds. | Tekin Bicer, David Chiu, Gagan Agrawal |
| 2012 | CCGRID | Scheduling Concurrent Applications on a Cluster of CPU-GPU Nodes. | Vignesh T. Ravi, Michela Becchi, Wei Jiang, Gagan Agrawal, Srimat T. Chakradhar |
| 2012 | CCGRID | Supporting User-Defined Subsetting and Aggregation over Parallel NetCDF Datasets. | Yu Su, Gagan Agrawal |
| 2012 | CCGRID | SciMATE: A Novel MapReduce-Like Framework for Multiple Scientific Data Formats. | Yi Wang, Wei Jiang, Gagan Agrawal |
| 2012 | HiPC | A fault-tolerant environment for large-scale query processing. | Mehmet Can Kurt, Gagan Agrawal |
| 2012 | HiPC | Fault tolerant parallel data-intensive algorithms. | Mcahid Kutlu, Gagan Agrawal, Oguz Kurt |
| 2012 | HiPC | GMProf: A low-overhead, fine-grained profiling approach for GPU programs. | Mai Zheng, Vignesh T. Ravi, Wenjing Ma, Feng Qin, Gagan Agrawal |
| 2012 | HPDC | Optimizing MapReduce for GPUs with effective shared memory usage. | Linchuan Chen, Gagan Agrawal |
| 2012 | HPDC | Fault tolerant parallel data-intensive algorithms. | Mcahid Kutlu, Gagan Agrawal, Oguz Kurt |
| 2012 | ICPP | Indexing and Parallel Query Processing Support for Visualizing Climate Datasets. | Yu Su, Gagan Agrawal, Jonathan Woodring |
| 2012 | KDD | Stratified k-means clustering over a deep web data source. | Tantan Liu, Gagan Agrawal |
| 2012 | SC | Light-Weight Data Management Solutions for Visualization and Dissemination of Massive Scientific Datasets - Position Paper. | Gagan Agrawal, Yu Su |
| 2012 | SC | Accelerating MapReduce on a coupled CPU-GPU architecture. | Linchuan Chen, Xin Huo, Gagan Agrawal |
| 2012 | SC | ValuePack: value-based scheduling framework for CPU-GPU clusters. | Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar |
| 2012 | SDM | Stratification Based Hierarchical Clustering Over a Deep Web Data Source. | Tantan Liu, Gagan Agrawal |
| 2011 | CC | Practical Loop Transformations for Tensor Contraction Expressions on Multi-level Memory Hierarchies. | Wenjing Ma, Sriram Krishnamoorthy, Gagan Agrawal |
| 2011 | CCGRID | Evaluating and Optimizing Indexing Schemes for a Cloud-Based Elastic Key-Value Store. | David Chiu, Apeksha Shetty, Gagan Agrawal |
| 2011 | CCGRID | Ex-MATE: Data Intensive Computing with Large Reduction Objects and Its Application to Graph Mining. | Wei Jiang, Gagan Agrawal |
| 2011 | CIKM | Effective stratification for low selectivity queries on deep web data sources. | Fan Wang, Gagan Agrawal |
| 2011 | CLUSTER | A Framework for Data-Intensive Computing with Cloud Bursting. | Tekin Bicer, David Chiu, Gagan Agrawal |
| 2011 | EDBT | Effective and efficient sampling methods for deep web aggregation queries. | Fan Wang, Gagan Agrawal |
| 2011 | HiPC | Porting irregular reductions on heterogeneous CPU-GPU configurations. | Xin Huo, Vignesh T. Ravi, Gagan Agrawal |
| 2011 | HiPC | A dynamic scheduling framework for emerging heterogeneous systems. | Vignesh T. Ravi, Gagan Agrawal |
| 2011 | HPDC | Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework. | Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat T. Chakradhar |
| 2011 | ICDE | Active learning based frequent itemset mining over the deep web. | Tantan Liu, Gagan Agrawal |
| 2011 | ICS | An execution strategy and optimized runtime support for parallelizing irregular reductions on modern GPUs. | Xin Huo, Vignesh T. Ravi, Wenjing Ma, Gagan Agrawal |
| 2011 | IDEAS | An approach towards automatic workflow composition through information retrieval. | David Chiu, Travis Hall, Farhana Kabir, Gagan Agrawal |
| 2011 | IDEAS | Answering complex structured queries over the deep web. | Fan Wang, Gagan Agrawal |
| 2011 | PPoPP | GRace: a low-overhead mechanism for detecting data races in GPU programs. | Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawal |
| 2011 | SC | Poster: a framework for data-intensive computing with cloud bursting. | Tekin Bicer, David Chiu, Gagan Agrawal |
| 2011 | SC | MATE-EC2: a middleware for processing data with AWS. | Tekin Bicer, David Chiu, Gagan Agrawal |
| 2011 | SSDBM | Keyword Search Support for Automating Scientific Workflow Composition. | David Chiu, Travis Hall, Farhana Kabir, Gagan Agrawal |
| 2010 | BIBE | Instance Discovery and Schema Matching with Applications to Biological Deep Web Data Integration. | Tantan Liu, Fan Wang, Gagan Agrawal |
| 2010 | BIBE | A Self-Healing Approach for a Domain-Specific Deep Web Search Tool. | Fan Wang, Gagan Agrawal |
| 2010 | CCGRID | A Map-Reduce System with an Alternate API for Multi-core Environments. | Wei Jiang, Vignesh T. Ravi, Gagan Agrawal |
| 2010 | CloudCom | Dynamic Resource Provisioning for Data Streaming Applications in a Cloud Environment. | Smita Vijayakumar, Qian Zhu, Gagan Agrawal |
| 2010 | DEXA | Query Reuse Based Query Planning for Searches over the Deep Web. | Fan Wang, Gagan Agrawal |
| 2010 | HiPC | Approaches for parallelizing reductions on modern GPUs. | Xin Huo, Vignesh T. Ravi, Wenjing Ma, Gagan Agrawal |
| 2010 | HiPC | An integer programming framework for optimizing shared memory use on GPUs. | Wenjing Ma, Gagan Agrawal |
| 2010 | HPDC | Resource provisioning with budget constraints for adaptive applications in cloud environments. | Qian Zhu, Gagan Agrawal |
| 2010 | ICDM | Stratified Sampling for Data Mining on the Deep Web. | Tantan Liu, Fan Wang, Gagan Agrawal |
| 2010 | ICDM | Differential Analysis on Deep Web Data Sources. | Tantan Liu, Fan Wang, Jiedan Zhu, Gagan Agrawal |
| 2010 | ICDM | Parallelizing an Information Theoretic Co-clustering Algorithm Using a Cloud Middleware. | Venkatram Ramanathan, Wenjing Ma, Vignesh T. Ravi, Tantan Liu, Gagan Agrawal |
| 2010 | ICS | Compiler and runtime support for enabling generalized reduction computations on heterogeneous parallel configurations. | Vignesh T. Ravi, Wenjing Ma, David Chiu, Gagan Agrawal |
| 2010 | SC | Elastic Cloud Caches for Accelerating Service-Oriented Computations. | David Chiu, Apeksha Shetty, Gagan Agrawal |
| 2010 | SC | Power-Aware Consolidation of Scientific Workflows in Virtualized Environments. | Qian Zhu, Jiedan Zhu, Gagan Agrawal |
| 2009 | CCGRID | Hierarchical Caches for Grid Workflows. | David Chiu, Gagan Agrawal |
| 2009 | CCGRID | Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster. | Vignesh T. Ravi, Gagan Agrawal |
| 2009 | CLUSTER | Comparing map-reduce and FREERIDE for data-intensive applications. | Wei Jiang, Vignesh T. Ravi, Gagan Agrawal |
| 2009 | HiPC | Supporting load balancing for distributed data-intensive applications. | Leonid Glimcher, Vignesh T. Ravi, Gagan Agrawal |
| 2009 | HiPC | Integrating and optimizing transactional memory in a data mining middleware. | Vignesh T. Ravi, Gagan Agrawal |
| 2009 | ICDM | Extracting Output Metadata from Scientific Deep Web Data Sources. | Fan Wang, Gagan Agrawal |
| 2009 | ICS | A translation system for enabling data mining applications on GPUs. | Wenjing Ma, Gagan Agrawal |
| 2009 | ICWS | A Dynamic Approach toward QoS-Aware Service Workflow Composition. | David Chiu, Sagar Deshpande, Gagan Agrawal, Rongxing Li |
| 2009 | PPoPP | A compiler and runtime system for enabling data mining applications on gpus. | Wenjing Ma, Gagan Agrawal |
| 2009 | SC | Supporting fault-tolerance for time-critical events in distributed environments. | Qian Zhu, Gagan Agrawal |
| 2009 | SSDBM | Enabling Ad Hoc Queries over Low-Level Scientific Data Sets. | David Chiu, Gagan Agrawal |
| 2009 | SSDBM | SEEDEEP: A System for Exploring and Querying Scientific Deep Web Data Sources. | Fan Wang, Gagan Agrawal |
| 2008 | CCGRID | A Middleware for Developing and Deploying Scalable Remote Mining Services. | Leonid Glimcher, Gagan Agrawal |
| 2008 | ICPP | Resource Allocation for Distributed Streaming Applications. | Qian Zhu, Gagan Agrawal |
| 2008 | SSDBM | Query Planning for Searching Inter-dependent Deep-Web Databases. | Fan Wang, Gagan Agrawal, Ruoming Jin |
| 2007 | BIBE | SNPMiner: A Domain-Specific Deep Web Mining Tool. | Fan Wang, Gagan Agrawal, Ruoming Jin, Helen Piontkivska |
| 2007 | BIBE | Graph and Topological Structure Mining on Scientific Articles. | Fan Wang, Ruoming Jin, Gagan Agrawal, Helen Piontkivska |
| 2007 | PPoPP | Supporting fault-tolerance in streaming grid applications. | Qian Zhu, Liang Chen, Gagan Agrawal |
| 2006 | BIBE | Exploratory Tools for FollowUp Studies to Microarray Experiments. | Kaushik Sinha, Ruoming Jin, Gagan Agrawal, Helen Piontkivska |
| 2006 | BIBE | A Tool for Supporting Integration Across Multiple FlatFile Datasets. | Xuan Zhang, Gagan Agrawal |
| 2006 | BIBE | Assigning Schema Labels Using Ontology And Hueristics. | Xuan Zhang, Ruoming Jin, Gagan Agrawal |
| 2006 | EuroPar | Supporting a Real-Time Distributed Intrusion Detection Application on GATES. | Qian Zhu, Liang Chen, Gagan Agrawal |
| 2006 | ICDE | Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases. | Ruoming Jin, Gagan Agrawal |
| 2006 | ICDE | New Sampling-Based Estimators for OLAP Queries. | Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gagan Agrawal |
| 2006 | ICPP | FREERIDE-G: Supporting Applications that Mine Remote. | Leonid Glimcher, Ruoming Jin, Gagan Agrawal |
| 2006 | ICPP | Using Space and Attribute Partitioned Partial Replicas for Data Subsetting and Aggregation Queries. | Li Weng, mit V. atalyrek, Tahsin M. Kur, Gagan Agrawal, Joel H. Saltz |
| 2006 | IDEAS | Parallelizing XQuery In a Cluster Environment. | Xiaogang Li, Gagan Agrawal |
| 2006 | SC | Grid scheduling and protocols - Supporting dynamic migration in tightly coupled grid applications. | Liang Chen, Qian Zhu, Gagan Agrawal |
| 2005 | BIBE | Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets. | Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal |
| 2005 | CCGRID | Servicing range queries on multidimensional datasets with partial replicas. | Li Weng, mit V. atalyrek, Tahsin M. Kur, Gagan Agrawal, Joel H. Saltz |
| 2005 | ICDM | An Algorithm for In-Core Frequent Itemset Mining on Streaming Data. | Ruoming Jin, Gagan Agrawal |
| 2005 | ICPP | Filter Decomposition for Supporting Coarse-Grained Pipelined Parallelism. | Wei Du, Gagan Agrawal |
| 2005 | KDD | Simultaneous optimization of complex mining tasks with a knowledgeable cache. | Ruoming Jin, Kaushik Sinha, Gagan Agrawal |
| 2005 | KDD | A framework to support multiple query optimization for complex mining tasks. | Ruoming Jin, Kaushik Sinha, Gagan Agrawal |
| 2005 | KDD | Discovering frequent topological structures from graph datasets. | Ruoming Jin, Chao Wang, Dmitrii Polshakov, Srinivasan Parthasarathy, Gagan Agrawal |
| 2005 | VLDB | Efficient Evaluation of XQuery over Streaming Data. | Xiaogang Li, Gagan Agrawal |
| 2004 | EuroPar | Parallelizing EM Clustering Algorithm on a Cluster of SMPs. | Leonid Glimcher, Gagan Agrawal |
| 2004 | HPDC | GATES: A Grid-Based Middleware for Processing Distributed Data Streams. | Liang Chen, Kolagatla Reddy, Gagan Agrawal |
| 2004 | HPDC | An Approach for Automatic Data Virtualization. | Li Weng, Gagan Agrawal, mit V. atalyrek, Tahsin M. Kur, Sivaramakrishnan Narayanan, Joel H. Saltz |
| 2004 | ICDM | Fast and Exact Out-of-Core K-Means Clustering. | Anjan Goswami, Ruoming Jin, Gagan Agrawal |
| 2004 | ICPP | Packet Size Optimization for Supporting Coarse-Grained Pipelined Parallelism. | Wei Du, Gagan Agrawal |
| 2004 | ICPP | Using Tiling to Scale Parallel Data Cube Construction. | Ruoming Jin, Karthik Vaidyanathan, Ge Yang, Gagan Agrawal |
| 2004 | Middleware | Resource allocation in a middleware for streaming data. | Liang Chen, Gagan Agrawal |
| 2004 | SC | Language and Compiler Support for Adaptive Applications. | Wei Du, Gagan Agrawal |
| 2003 | HiPC | Parallel Data Cube Construction: Algorithms, Theoretical Analysis, and Experimental Evaluation. | Ruoming Jin, Ge Yang, Gagan Agrawal |
| 2003 | ICPP | Communication and Memory Optimal Parallel Data Cube Construction. | Ruoming Jin, Ge Yang, Karthik Vaidyanathan, Gagan Agrawal |
| 2003 | ICS | Compiler support for efficient processing of XML datasets. | Xiaogang Li, Renato Ferreira, Gagan Agrawal |
| 2003 | KDD | Efficient decision tree construction on streaming data. | Ruoming Jin, Gagan Agrawal |
| 2003 | SC | Compiler Support for Exploiting Coarse-Grained Pipelined Parallelism. | Wei Du, Renato Ferreira, Gagan Agrawal |
| 2003 | SC | Optimizing Reduction Computations In a Distributed Environment. | Tahsin M. Kur, Feng Lee, Gagan Agrawal, mit V. atalyrek, Renato Ferreira, Joel H. Saltz |
| 2003 | SDM | Communication and Memory Efficient Parallel Decision Tree Construction. | Ruoming Jin, Gagan Agrawal |
| 2002 | CC | Evaluating a Demand Driven Technique for Call Graph Construction. | Gagan Agrawal, Jinqian Li, Qi Su |
| 2002 | CCGRID | Developing Distributed Data Mining Implementations for a Grid Environment. | Wei Du, Gagan Agrawal |
| 2002 | CCGRID | Implementing Data Cube Construction using a Cluster Middleware: Algorithms, Implementation Experience, and Performance Evaluation. | Ge Yang, Ruoming Jin, Gagan Agrawal |
| 2002 | EuroPar | Shared Memory Parallelization of Decision Tree Construction Using a General Data Mining Middleware. | Ruoming Jin, Gagan Agrawal |
| 2002 | ICS | Compiler supported high-level abstractions for sparse disk-resident datasets. | Renato Ferreira, Gagan Agrawal, Joel H. Saltz |
| 2002 | SIGMETRICS | Performance prediction for random write reductions: a case study in modeling shared memory programs. | Ruoming Jin, Gagan Agrawal |
| 2002 | SDM | Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. | Ruoming Jin, Gagan Agrawal |
| 2001 | SDM | A Middleware for Developing Parallel Data Mining Applications. | Ruoming Jin, Gagan Agrawal |
| 2000 | CC | Demand-Driven Construction of Call Graphs. | Gagan Agrawal |
| 2000 | EuroPar | Developing a Communication Intensive Application on the EARTH Multithreaded Architecture (Distinguished Paper). | Kevin B. Theobald, Rishi Kumar, Gagan Agrawal, Gerd Heber, Ruppa K. Thulasiram, Guang R. Gao |
| 2000 | ICS | Compiling object-oriented data intensive applications. | Renato Ferreira, Gagan Agrawal, Joel H. Saltz |
| 2000 | ICS | Automatic compiler techniques for thread coarsening for multithreaded architectures. | Gary M. Zoppetti, Gagan Agrawal, Lori L. Pollock, Jos Nelson Amaral, Xinan Tang, Guang R. Gao |
| 2000 | SC | Landing CG on EARTH: A Case Study of Fine-Grained Multithreading on an Evolutionary Path. | Kevin B. Theobald, Gagan Agrawal, Rishi Kumar, Gerd Heber, Guang R. Gao, Paul Stodghill, Keshav Pingali |
| 1998 | ICPP | Automatic Data Partitioning for Irregular and Adaptive Applications. | Gagan Agrawal |
| 1996 | ICS | An Interprocedural Framework for Placement of Asynchronous I/O Operations. | Gagan Agrawal, Anurag Acharya, Joel H. Saltz |
| 1995 | PLDI | Interprocedural Partial Redundancy Elimination and its Application to Distributed Memory Compilation. | Gagan Agrawal, Joel H. Saltz, Raja Das |
| 1995 | SC | Interprocedural Compilation of Irregular Applications for Distributed Memory Machines. | Gagan Agrawal, Joel H. Saltz |
| 1993 | SC | Compiler and runtime support for structured and block structured applications. | Gagan Agrawal, Alan Sussman, Joel H. Saltz |
| 1992 | ICDCS | An Efficient Protocol for Voting In Distributed Systems. | Gagan Agrawal, Pankaj Jalote |
| 1992 | ICDE | Using Coding to Support Data Resiliency in Distributed Systems. | Pankaj Jalote, Gagan Agrawal |
| 1992 | SRDS | Availability of Coding Based Replication Schemes. | Gagan Agrawal |