Gagan Agrawal

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 73

Top Venues

Publications

Wei Niu, Gagan Agrawal, Bin Ren
: Statically Optimizing Dynamic Deep Neural Network. CoRR (2024)
Gagan Agrawal, Alba Cristina Melo
Message from the 2024 General Co-chairs. IPDPS (Workshops) (2024)
Wei Niu, Gagan Agrawal, Bin Ren
: Statically Optimizing Dynamic Deep Neural Network Execution. ASPLOS (1) (2024)
Wei Niu, Md Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren
SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile. ASPLOS (3) (2024)
Wei Niu, Md Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren
SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile. CoRR (2024)
Mahdieh Heidaripour, Ladan Kian, Maryam Rezapour, Mark Holcomb, Benjamin Fuller, Gagan Agrawal, Hoda Maleki
Organizing Records for Retrieval in Multi-Dimensional Range Searchable Encryption. IACR Cryptol. ePrint Arch. 2024 (2024)
Yang Xia, Peng Jiang, Gagan Agrawal, Rajiv Ramnath
End-to-End LU Factorization of Large Matrices on GPUs. PPoPP (2023)
Xiang Li, Gagan Agrawal, Ruoming Jin, Rajiv Ramnath
Scalable Deep Metric Learning on Attributed Graphs. CSoNet (2023)
Asma Jodeiri Akbarfam, Mahdieh Heidaripour, Hoda Maleki, Gokila Dorai, Gagan Agrawal
ForensiBlock: A Provenance-Driven Blockchain Framework for Data Forensics and Auditability. TPS-ISA (2023)
Braxton Bolt, Hoda Maleki, Gagan Agrawal, Jeffrey D. Morris, Khan Farabi
SecFob: A Remote Keyless Entry Security Solution. ISC2 (2023)
Asma Jodeiri Akbarfam, Mahdieh Heidaripour, Hoda Maleki, Gokila Dorai, Gagan Agrawal
ForensiBlock: A Provenance-Driven Blockchain Framework for Data Forensics and Auditability. CoRR (2023)
Haoyuan Xing, Gagan Agrawal, Rajiv Ramnath
GPU Adaptive In-situ Parallel Analytics (GAP). PACT (2022)
Yang Xia, Peng Jiang, Gagan Agrawal, Rajiv Ramnath
Scaling and Selecting GPU Methods for All Pairs Shortest Paths (APSP) Computations. IPDPS (2022)
Md Hasan, Hoda Maleki, Gagan Agrawal
Securing Pseudonym Schemes for Vehicular Privacy. Big Data (2022)
Wei Niu, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Gagan Agrawal, Bin Ren
: A Globally Optimizing Compiler for Mapping DNNs to Mobile DSPs. MICRO (2022)
Xiang Li, Dong Li, Ruoming Jin, Rajiv Ramnath, Gagan Agrawal
Deep Graph Clustering with Random-walk based Scalable Learning. ASONAM (2022)
Gangyi Zhu, Gagan Agrawal
Sampling-based Sparse Format Selection on GPUs. SBAC-PAD (2021)
Shuangsheng Lou, Nisha Panwar, Gagan Agrawal
Integrity Verification for Streaming IoT Applications with a Minimalist Logging Scheme. SMARTCOMP (2021)
Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren
DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion. CoRR (2021)
Jia Guo, Radu Teodorescu, Gagan Agrawal
Fused DSConv: Optimizing Sparse CNN Inference for Execution on Edge Devices. CCGRID (2021)
Xiang Li, Ruoming Jin, Rajiv Ramnath, Gagan Agrawal
A Framework for Accelerating Graph Convolutional Networks on Massive Datasets. CSoNet (2021)
Xiang Li, Dong Li, Ruoming Jin, Gagan Agrawal, Rajiv Ramnath
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning. CoRR (2021)
Jia Guo, Radu Teodorescu, Gagan Agrawal
A Fused Inference Design for Pattern-Based Sparse CNN on Edge Devices. HiPC (2021)
Yang Xia, Peng Jiang, Gagan Agrawal, Rajiv Ramnath
Scaling Sparse Matrix Multiplication on CPU-GPU Nodes. IPDPS (2021)
Dane Troyer, Justin Henry, Hoda Maleki, Gokila Dorai, Bethany Sumner, Gagan Agrawal, Jon Ingram
Privacy-Preserving Framework to Facilitate Shared Data Access for Wearable Devices. IEEE BigData (2021)
Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren
DNNFusion: accelerating deep neural networks execution with advanced operator fusion. PLDI (2021)
Xiang Li, Gagan Agrawal
Shrinking Sample Search Algorithm for Automatic Tuning of GPU Kernels. HiPC (2021)
Shuangsheng Lou, Gagan Agrawal
Mapping IoT Applications on the Edge to Cloud Continuum with a Filter Stream Model. ICFEC (2021)
Renhao Cui, Gagan Agrawal, Rajiv Ramnath
Constraint-embedded paraphrase generation for commercial tweets. ASONAM (2021)
Shuangsheng Lou, Gagan Agrawal
A Programming API Implementation for Secure Data Analytics Applications with Homomorphic Encryption on GPUs. HiPC (2021)
Jia Guo, Gagan Agrawal
Smart Streaming: A High-Throughput Fault-tolerant Online Processing System. IPDPS Workshops (2020)
Renhao Cui, Gagan Agrawal, Rajiv Ramnath
Tweets can tell: activity recognition using hybrid gated recurrent neural networks. Soc. Netw. Anal. Min. 10 (1) (2020)
Jia Guo, Radu Teodorescu, Gagan Agrawal
A Pattern-Based API for Mapping Applications to a Hierarchy of Multi-Core Devices. CCGRID (2020)
Peng Jiang, Gagan Agrawal
Adaptive Periodic Averaging: A Practical Approach to Reducing Communication in Distributed Learning. CoRR (2020)
Ruoming Jin, Zhen Peng, Wendell Wu, Feodor F. Dragan, Gagan Agrawal, Bin Ren
Parallelizing pruned landmark labeling: dealing with dependencies in graph algorithms. ICS (2020)
Yang Xia, Peng Jiang, Gagan Agrawal
Scaling out speculative execution of finite-state machines with parallel merge. PPoPP (2020)
Peng Jiang, Changwan Hong, Gagan Agrawal
A novel data transformation and execution strategy for accelerating sparse matrix multiplication on GPUs. PPoPP (2020)
Haoyuan Xing, Gagan Agrawal, Rajiv Ramnath
MoHA: a composable system for efficient in-situ analytics on heterogeneous HPC systems. SC (2020)
Peng Jiang, Yang Xia, Gagan Agrawal
Combining SIMD and Many/Multi-core Parallelism for Finite-state Machines with Enumerative Speculation. ACM Trans. Parallel Comput. 7 (3) (2020)
Roee Ebenstein, Gagan Agrawal
DistriPlan: an optimized join execution framework for geo-distributed scientific data. Distributed Parallel Databases 38 (1) (2020)
Yang Xia, Peng Jiang, Gagan Agrawal
Enabling prefix sum parallelism pattern for recurrences with principled function reconstruction. CC (2019)
Haoyuan Xing, Gagan Agrawal
Accelerating array joining with integrated value-index. SSDBM (2019)
Ruoming Jin, Zhen Peng, Wendell Wu, Feodor F. Dragan, Gagan Agrawal, Bin Ren
Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage! CoRR (2019)
Peng Jiang, Gagan Agrawal
Accelerating distributed stochastic gradient descent with adaptive periodic parameter averaging: poster. PPoPP (2019)
Gangyi Zhu, Peng Jiang, Gagan Agrawal
A Methodology for Characterizing Sparse Datasets and Its Application to SIMD Performance Prediction. PACT (2019)
Renhao Cui, Gagan Agrawal, Rajiv Ramnath
Tweets can tell: activity recognition using hybrid long short-term memory model. ASONAM (2019)
Renhao Cui, Gagan Agrawal, Rajiv Ramnath
Towards Successful Social Media Advertising: Predicting the Influence of Commercial Tweets. CoRR (2019)
Renhao Cui, Gagan Agrawal, Rajiv Ramnath
Tweets Can Tell: Activity Recognition using Hybrid Long Short-Term Memory Model. CoRR (2019)
Peng Jiang, Gagan Agrawal
Revealing parallel scans and reductions in sequential loops through function reconstruction. PPOPP (2018)
Jia Guo, Gagan Agrawal
Achieving Performance and Programmability for MapReduce(-Like) Frameworks. HiPC (2018)
Peng Jiang, Gagan Agrawal
Conflict-free vectorization of associative irregular applications with recent SIMD architectural advances. CGO (2018)
Peng Jiang, Linchuan Chen, Gagan Agrawal
Revealing parallel scans and reductions in recurrences through function reconstruction. PACT (2018)
Peng Jiang, Gagan Agrawal
A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication. NeurIPS (2018)
Roee Ebenstein, Gagan Agrawal, Jiali Wang, Joshua M. Boley, Rajkumar Kettimuthu
FDQ: Advance Analytics Over Real Scientific Array Datasets. eScience (2018)
Muhammed Emin Ozturk, Marissa Renardy, Yukun Li, Gagan Agrawal, Ching-Shan Chou
A Novel Approach for Handling Soft Error in Conjugate Gradients. HiPC (2018)
Gangyi Zhu, Gagan Agrawal
A Performance Prediction Framework for Irregular Applications. HiPC (2018)
Haoyuan Xing, Gagan Agrawal
COMPASS: compact array storage with value index. SSDBM (2018)
Jiaqi Liu, Gagan Agrawal
Supporting Fault-Tolerance in Presence of In-Situ Analytics. CCGrid (2017)
Peng Jiang, Gagan Agrawal
Efficient SIMD and MIMD parallelization of hash-based aggregation by conflict mitigation. ICS (2017)
Peng Jiang, Gagan Agrawal
Combining SIMD and Many/Multi-core Parallelism for Finite State Machines with Enumerative Speculation. PPOPP (2017)
Mücahid Kutlu, Gagan Agrawal, James S. Blachly
Par-eXpress: A Tool for Analysis of Sequencing Experiments With Ambiguous Assignment of Fragments in Parallel. IPDPS Workshops (2017)
Roee Ebenstein, Gagan Agrawal
DistriPlan: An Optimized Join Execution Framework for Geo-Distributed Scientific Data. SSDBM (2017)
Mehmet Can Kurt, Bin Ren, Sriram Krishnamoorthy, Gagan Agrawal
User-assisted storage reuse determination for dynamic task graphs. PPOPP (2016)
Sameh Shohdy, Abhinav Vishnu, Gagan Agrawal
Fault Tolerant Frequent Pattern Mining. CoRR (2016)
Peng Jiang, Linchuan Chen, Gagan Agrawal
Reusing Data Reorganization for Efficient SIMD Parallelization of Adaptive Irregular Applications. ICS (2016)
Rajkumar Kettimuthu, Gagan Agrawal, P. Sadayappan, Ian T. Foster
Differentiated Scheduling of Response-Critical and Best-Effort Wide-Area Data Transfers. IPDPS (2016)
Jiaqi Liu, Gagan Agrawal
Soft Error Detection for Iterative Applications Using Offline Training. HiPC (2016)
Sameh Shohdy, Abhinav Vishnu, Gagan Agrawal
Fault Tolerant Support Vector Machines. ICPP (2016)
Mehmet Can Kurt, Sriram Krishnamoorthy, Gagan Agrawal, Bin Ren
User-Assisted Store Recycling for Dynamic Task Graph Schedulers. ACM Trans. Archit. Code Optim. 13 (4) (2016)
Sameh Shohdy, Abhinav Vishnu, Gagan Agrawal
Fault Tolerant Frequent Pattern Mining. HiPC (2016)
David Siegal, Jia Guo, Gagan Agrawal
Smart-MLlib: A High-Performance Machine-Learning Library. CLUSTER (2016)
Linchuan Chen, Peng Jiang, Gagan Agrawal
Exploiting recent SIMD architectural advances for irregular applications. CGO (2016)
Renhao Cui, Gagan Agrawal, Rajiv Ramnath, Vinh Ngoc Khuc
Ensemble of Heterogeneous Classifiers for Improving Automated Tweet Classification. ICDM Workshops (2016)
Manirupa Das, Renhao Cui, David R. Campbell, Gagan Agrawal, Rajiv Ramnath
Towards methods for systematic research on big data. IEEE BigData (2015)
Mehmet Can Kurt, Bin Ren, Gagan Agrawal
Low-Overhead Fault-Tolerance Support Using DISC Programming Model. LCPC (2015)
Yu Su, Yi Wang, Gagan Agrawal
In-Situ Bitmaps Generation and Efficient Data Analysis based on Bitmaps. HPDC (2015)
Jiaqi Liu, Mehmet Can Kurt, Gagan Agrawal
A Practical Approach for Handling Soft Errors in Iterative Applications. CLUSTER (2015)
Sameh Shohdy, Yu Su, Gagan Agrawal
Load Balancing and Accelerating Parallel Spatial Join Operations Using Bitmap Indexing. HiPC (2015)
Yi Wang, Gagan Agrawal, Tekin Bicer, Wei Jiang
Smart: a MapReduce-like framework for in-situ scientific analytics. SC (2015)
Rajkumar Kettimuthu, Gayane Vardoyan, Gagan Agrawal, P. Sadayappan, Ian T. Foster
An elegant sufficiency: load-aware differentiated scheduling of data transfers. SC (2015)
Bin Ren, Nishkam Ravi, Yi Yang, Min Feng, Gagan Agrawal, Srimat T. Chakradhar
Automatic and Efficient Data Host-Device Communication for Many-Core Coprocessors. LCPC (2015)
Mücahid Kutlu, Gagan Agrawal
RE-PAGE: Domain-Specific REplication and PArallel Processing of GEnomic Data. CLUSTER (2015)
Yi Wang, Yu Su, Gagan Agrawal
A novel approach for approximate aggregations over arrays. SSDBM (2015)
Tekin Bicer, Doga Gürsoy, Rajkumar Kettimuthu, Francesco De Carlo, Gagan Agrawal, Ian T. Foster
Rapid Tomographic Image Reconstruction via Large-Scale Parallelization. Euro-Par (2015)
Linchuan Chen, Xin Huo, Gagan Agrawal
A Pattern Specification and Optimizations Framework for Accelerating Scientific Computations on Heterogeneous Clusters. IPDPS (2015)
Jiaqi Liu, Gagan Agrawal
Algorithm Level Fault Tolerance for Molecular Dynamic Applications. HiPC (2015)
Roee Ebenstein, Gagan Agrawal
DSDQuery DSI - Querying scientific data repositories with structured operators. IEEE BigData (2015)
Gangyi Zhu, Yi Wang, Gagan Agrawal
SciCSM: novel contrast set mining over scientific datasets using bitmap indices. SSDBM (2015)
Mücahid Kutlu, Gagan Agrawal
GEM: A Framework for Developing Shared-Memory Parallel Genomic Applications on Memory Constrained Architectures. ICPP (2015)
Linchuan Chen, Xin Huo, Bin Ren, Surabhi Jain, Gagan Agrawal
Efficient and Simplified Parallel Graph Processing over CPU and MIC. IPDPS (2015)
Yi Wang, Linchuan Chen, Gagan Agrawal
Supporting online analytics with user-defined estimation and early termination in a MapReduce-like framework. DISCS@SC (2015)
Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawal
GMRace: Detecting Data Races in GPU Programs via a Low-Overhead Scheme. IEEE Trans. Parallel Distributed Syst. 25 (1) (2014)
Xin Huo, Bin Ren, Gagan Agrawal
A programming system for xeon phis with runtime SIMD parallelization. ICS (2014)
Yi Wang, Gagan Agrawal, Hatice Gulcin Ozer, Kun Huang
Removing Sequential Bottlenecks in Analysis of Next-Generation Sequencing Data. IPDPS Workshops (2014)
Yu Su, Gagan Agrawal, Jonathan Woodring, Ayan Biswas, Han-Wei Shen
Supporting correlation analysis on scientific datasets in parallel and distributed settings. HPDC (2014)
Rajkumar Kettimuthu, Gayane Vardoyan, Gagan Agrawal, P. Sadayappan
Modeling and Optimizing Large-Scale Wide-Area Data Transfers. CCGRID (2014)
Bin Ren, Nishkam Ravi, Yi Yang, Min Feng, Gagan Agrawal, Srimat T. Chakradhar
Automating and optimizing data transfers for many-core coprocessors. ICS (2014)
Mehmet Can Kurt, Sriram Krishnamoorthy, Kunal Agrawal, Gagan Agrawal
Fault-Tolerant Dynamic Task Graph Scheduling. SC (2014)
Yi Wang, Arnab Nandi, Gagan Agrawal
SAGA: array storage as a DB with support for structural aggregations. SSDBM (2014)
Bin Ren, Todd Mytkowicz, Gagan Agrawal
A Portable Optimization Engine for Accelerating Irregular Data-Traversal Applications on SIMD Architectures. ACM Trans. Archit. Code Optim. 11 (2) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gagan Agrawal