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Note: Links lead to the DBLP on the Web. Gagan Agrawal Ruoming Jin , Gagan Agrawal: Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases. ICDE 2006 : 17 Ruoming Jin , Leo Glimcher , Chris Jermaine , Gagan Agrawal: New Sampling-Based Estimators for OLAP Queries. ICDE 2006 : 18 Kaushik Sinha , Xuan Zhang , Ruoming Jin , Gagan Agrawal: Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets. BIBE 2005 : 177-184 Li Weng , U. Catalyurek , Tahsin Kurc , Gagan Agrawal, J. Saltz : Servicing range queries on multidimensional datasets with partial replicas. CCGRID 2005 : 726-733 Kaushik Sinha , Xuan Zhang , Ruoming Jin , Gagan Agrawal: Learning Layouts of Biological Datasets Semi-automatically. DILS 2005 : 31-45 Ruoming Jin , Gagan Agrawal: An Algorithm for In-Core Frequent Itemset Mining on Streaming Data. ICDM 2005 : 210-217 Wei Du , Gagan Agrawal: Filter Decomposition for Supporting Coarse-Grained Pipelined Parallelism. ICPP 2005 : 539-546 Swarup Kumar Sahoo , Gagan Agrawal: Data Centric Transformations on Non-Integer Iteration Spaces. IEEE PACT 2005 : 133-142 Leonid Glimcher , Gagan Agrawal, Sameep Mehta , Ruoming Jin , Raghu Machiraju : Parallelizing a Defect Detection and Categorization Application. IPDPS 2005 Ruoming Jin , Kaushik Sinha , Gagan Agrawal: Simultaneous optimization of complex mining tasks with a knowledgeable cache. KDD 2005 : 600-605 Ruoming Jin , Chao Wang , Dmitrii Polshakov , Srinivasan Parthasarathy , Gagan Agrawal: Discovering frequent topological structures from graph datasets. KDD 2005 : 606-611 Xiaogang Li , Gagan Agrawal: Efficient Evaluation of XQuery over Streaming Data. VLDB 2005 : 265-276 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) Ruoming Jin , Gagan Agrawal: A methodology for detailed performance modeling of reduction computations on SMP machines. Perform. Eval. 60 (1-4): 73-105 (2005) Leonid Glimcher , Gagan Agrawal: Parallelizing EM Clustering Algorithm on a Cluster of SMPs. Euro-Par 2004 : 372-380 Liang Chen , Kolagatla Reddy , Gagan Agrawal: GATES: A Grid-Based Middleware for Processing Distributed Data Streams. HPDC 2004 : 192-201 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 Liang Chen , Gagan Agrawal: Self-Adaptation in a Middleware for Processing Data Streams. ICAC 2004 : 292-293 Anjan Goswami , Ruoming Jin , Gagan Agrawal: Fast and Exact Out-of-Core K-Means Clustering. ICDM 2004 : 83-90 Wei Du , Gagan Agrawal: Packet Size Optimization for Supporting Coarse-Grained Pipelined Parallelism. ICPP 2004 : 259-266 Ruoming Jin , Karthik Vaidyanathan , Ge Yang , Gagan Agrawal: Using Tiling to Scale Parallel Data Cube Construction. ICPP 2004 : 365-372 Leonid Glimcher , Xuan Zhang , Gagan Agrawal: Scaling and Parallelizing a Scientific Feature Mining Application Using a Cluster Middleware. IPDPS 2004 Li Weng , Gagan Agrawal, Ümit V. Çatalyürek , Joel H. Saltz : Supporting SQL-3 Aggregations on Grid-Based Data Repositories. LCPC 2004 : 283-298 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 Liang Chen , Gagan Agrawal: Resource allocation in a middleware for streaming data. Middleware for Grid Computing 2004 : 5-10 Wei Du , Gagan Agrawal: Language and Compiler Support for Adaptive Applications. SC 2004 : 29 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 Xiaogang Li , Gagan Agrawal: Using XQuery for Flat-File Based Scientific Datasets. DBPL 2003 : 179-194 Ruoming Jin , Ge Yang , Gagan Agrawal: Parallel Data Cube Construction: Algorithms, Theoretical Analysis, and Experimental Evaluation. HiPC 2003 : 74-84 Ruoming Jin , Ge Yang , Karthik Vaidyanathan , Gagan Agrawal: Communication and Memory Optimal Parallel Data Cube Construction. ICPP 2003 : 573-580 Xiaogang Li , Renato Ferreira , Gagan Agrawal: Compiler support for efficient processing of XML datasets. ICS 2003 : 42-52 Wei Du , Gagan Agrawal: Compiler Supported Coarse-Grained Pipelined Parallelism: Why and How. IPDPS 2003 : 204 Ge Yang , Ruoming Jin , Gagan Agrawal: Impact of Data Distribution, Level of Parallelism, and Communication Frequency on Parallel Data Cube Construction. IPDPS 2003 : 66 Xiaogang Li , Ruoming Jin , Gagan Agrawal: A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms. IPDPS 2003 : 7 Ruoming Jin , Gagan Agrawal: Efficient decision tree construction on streaming data. KDD 2003 : 571-576 Xiaogang Li , Gagan Agrawal: Supporting High-Level Abstractions through XML Technology. LCPC 2003 : 127-146 Wei Du , Renato Ferreira , Gagan Agrawal: Compiler Support for Exploiting Coarse-Grained Pipelined Parallelism. SC 2003 : 8 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 Ruoming Jin , Gagan Agrawal: Communication and Memory Efficient Parallel Decision Tree Construction. SDM 2003 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) Gagan Agrawal, Jinqian Li , Qi Su : Evaluating a Demand Driven Technique for Call Graph Construction. CC 2002 : 29-45 Wei Du , Gagan Agrawal: Developing Distributed Data Mining Implementations for a Grid Environment. CCGRID 2002 : 440-441 Ge Yang , Ruoming Jin , Gagan Agrawal: Implementing Data Cube Construction using a Cluster Middleware: Algorithms, Implementation Experience, and Performance Evaluation. CCGRID 2002 : 84-92 Ruoming Jin , Gagan Agrawal: Shared Memory Parallelization of Decision Tree Construction Using a General Data Mining Middleware. Euro-Par 2002 : 346-354 Renato Ferreira , Gagan Agrawal, Joel H. Saltz : Compiler supported high-level abstractions for sparse disk-resident datasets. ICS 2002 : 241-251 Gary M. Zoppetti , Gagan Agrawal, Rishi Kumar : Compiler and Runtime Support for Irregular Reductions on a Multithreaded Architecture. IPDPS 2002 Rishi Kumar , Gagan Agrawal, Guang R. Gao : Compiling Several Classes of Communication Patterns on a Multithreaded Architecture. IPDPS 2002 Ruoming Jin , Gagan Agrawal: Design and Evaluation of a High-Level Interface for Data Mining. IPDPS 2002 Xiaogang Li , Ruoming Jin , Gagan Agrawal: Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms. LCPC 2002 : 265-279 Ruoming Jin , Gagan Agrawal: Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. SDM 2002 Ruoming Jin , Gagan Agrawal: Performance prediction for random write reductions: a case study in modeling shared memory programs. SIGMETRICS 2002 : 117-128 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) Renato Ferreira , Gagan Agrawal, Joel H. Saltz : Data parallel language and compiler support for data intensive applications. Parallel Computing 28 (5): 725-748 (2002) Gary M. Zoppetti , Gagan Agrawal, Rishi Kumar : Impact of Data Distribution on Performance of Irregular Reductions on Multithreaded Architectures. HPCN Europe 2001 : 483-492 Renato Ferreira , Joel H. Saltz , Gagan Agrawal: Compiler and Runtime Analysis for Efficient Communication in Data Intensive Applications. IEEE PACT 2001 : 231-242 Ruoming Jin , Gagan Agrawal: An efficient association mining implementation on clusters of SMP. IPDPS 2001 : 156 Gagan Agrawal, Ruoming Jin , Xiaogang Li : Compiler and Middleware Support for Scalable Data Mining. LCPC 2001 : 33-51 Gagan Agrawal, Liang Guo : Evaluating explicitly context-sensitive program slicing. PASTE 2001 : 6-12 Gary M. Zoppetti , Gagan Agrawal: An Execution Strategy for Irregular Reductions on Multithreaded Architectures. PPSC 2001 Gagan Agrawal: Demand-Driven Construction of Call Graphs. CC 2000 : 125-140 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 Renato Ferreira , Gagan Agrawal, Joel H. Saltz : Compiling object-oriented data intensive applications. ICS 2000 : 11-21 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 Renato Ferreira , Gagan Agrawal, Ruoming Jin , Joel H. Saltz : Compiling Data Intensive Applications with Spatial Coordinates. LCPC 2000 : 339-354 Gagan Agrawal, Renato Ferreira , Ruoming Jin , Joel H. Saltz : High Level Programming Methodologies for Data Intensive Computations. LCR 2000 : 32-43 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 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) Gagan Agrawal: Advanced Communication Optimaizations for Data-Parallel Programs. HPCN Europe 1999 : 1139-1142 Gagan Agrawal: Simultaneous Demand-Driven Data-Flow and Call Graph Analysis. ICSM 1999 : 453-462 Gary M. Zoppetti , Gagan Agrawal, Lori L. Pollock : Thresholding for Work Distribution of Recursive, Multithreaded Functions. LCPC 1999 : 485-489 Gagan Agrawal: A General Interprocedural Framework for Placement of Split-Phase Large Latency Operations. IEEE Trans. Parallel Distrib. Syst. 10 (4): 394-413 (1999) Gagan Agrawal: Data Distribution Analysis for Irregular and Adaptive Codes. Parallel Processing Letters 9 (1): 135-146 (1999) Gagan Agrawal, Shyamala Murthy , Chandrashekar Garud : A Novel Program Representation for Interprocedural Analysis. SIGPLAN Notices 34 (4): 70-76 (1999) Gagan Agrawal: Automatic Data Partitioning for Irregular and Adaptive Applications. ICPP 1998 : 587-594 Gagan Agrawal: I/O Granularity Transformations. LCPC 1998 : 68-82 Dixie Hisley , Gagan Agrawal, Lori L. Pollock : Evaluating the Effectiveness of a Parallelizing Compiler. LCR 1998 : 195-204 Gagan Agrawal: Interprocedural Partial Redundancy Elimination With Application to Distributed Memory Compilation. IEEE Trans. Parallel Distrib. Syst. 9 (7): 609-625 (1998) 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) Gagan Agrawal, Joel H. Saltz : Interprocedural Data Flow Based Optimizations for Distributed Memory Compilation. Softw., Pract. Exper. 27 (5): 519-545 (1997) Gagan Agrawal, Anurag Acharya , Joel H. Saltz : An Interprocedural Framework for Placement of Asynchronous I/O Operations. International Conference on Supercomputing 1996 : 358-365 Guy Edjlali , Gagan Agrawal, Alan Sussman , Joel H. Saltz : Data parallel programming in an adaptive environment. IPPS 1995 : 827-832 Gagan Agrawal, Joel H. Saltz : Interprocedural Data Flow Based Optimizations sor Compilation of Irregular Problems. LCPC 1995 : 465-479 Gagan Agrawal, Joel H. Saltz , Raja Das : Interprocedural Partial Redundancy Elimination and its Application to Distributed Memory Compilation. PLDI 1995 : 258-269 Gagan Agrawal, Joel H. Saltz : Interprocedural Compilation of Irregular Applications for Distributed Memory Machines. SC 1995 Gagan Agrawal, Pankaj Jalote : Coding-Based Replication Schemes for Distributed Systems. IEEE Trans. Parallel Distrib. Syst. 6 (3): 240-251 (1995) 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) Gagan Agrawal, Joel H. Saltz : Interprocedural Communication Optimizations for Distributed Memory Compilation. LCPC 1994 : 283-299 Gagan Agrawal, Alan Sussman , Joel H. Saltz : Compiler and runtime support for structured and block structured applications. SC 1993 : 578-587 Gagan Agrawal, Pankaj Jalote : An Efficient Protocol for Voting In Distributed Systems. ICDCS 1992 : 640-647 Pankaj Jalote , Gagan Agrawal: Using Coding to Support Data Resiliency in Distributed Systems. ICDE 1992 : 192-199 Gagan Agrawal: Availability of Coding Based Replication Schemes. Symposium on Reliable Distributed Systems 1992 : 103-110 1 [ 12 ] 2 [ 29 ] 3 [ 88 ] 4 [ 54 ] [ 69 ] [ 75 ] 5 [ 14 ] 6 [ 67 ] [ 74 ] [ 76 ] 7 [ 9 ] [ 14 ] 8 [ 50 ] [ 55 ] [ 60 ] [ 66 ] [ 72 ] [ 85 ] 9 [ 11 ] [ 14 ] 10 [ 27 ] [ 28 ] [ 30 ] [ 37 ] [ 39 ] [ 47 ] [ 54 ] [ 55 ] [ 61 ] 11 [ 26 ] [ 29 ] [ 31 ] [ 40 ] [ 45 ] 12 [ 19 ] 13 [ 90 ] 14 [ 70 ] [ 77 ] [ 83 ] 15 [ 73 ] 16 [ 34 ] 17 [ 14 ] 18 [ 26 ] [ 31 ] [ 40 ] 19 [ 16 ] [ 25 ] 20 [ 14 ] 21 [ 2 ] [ 3 ] [ 7 ] 22 [ 90 ] 23 [ 27 ] [ 28 ] [ 35 ] [ 36 ] [ 41 ] [ 42 ] [ 43 ] [ 44 ] [ 48 ] [ 49 ] [ 52 ] [ 53 ] [ 57 ] [ 58 ] [ 59 ] [ 62 ] [ 63 ] [ 71 ] [ 73 ] [ 78 ] [ 79 ] [ 81 ] [ 82 ] [ 83 ] [ 86 ] [ 87 ] [ 89 ] [ 90 ] [ 91 ] 24 [ 26 ] [ 31 ] [ 38 ] [ 40 ] [ 45 ] [ 46 ] 25 [ 88 ] 26 [ 54 ] [ 75 ] 27 [ 54 ] 28 [ 51 ] 29 [ 35 ] [ 43 ] [ 56 ] [ 58 ] [ 61 ] [ 64 ] [ 65 ] [ 80 ] 30 [ 83 ] 31 [ 83 ] 32 [ 14 ] 33 [ 19 ] 34 [ 75 ] 35 [ 81 ] 36 [ 26 ] 37 [ 16 ] [ 22 ] [ 25 ] [ 29 ] 38 [ 81 ] 39 [ 14 ] 40 [ 76 ] 41 [ 65 ] [ 68 ] [ 84 ] 42 [ 88 ] 43 [ 4 ] [ 5 ] [ 6 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] [ 12 ] [ 13 ] [ 14 ] [ 27 ] [ 28 ] [ 30 ] [ 37 ] [ 39 ] [ 47 ] [ 54 ] [ 69 ] [ 75 ] 44 [ 25 ] 45 [ 14 ] 46 [ 82 ] [ 87 ] [ 89 ] 47 [ 26 ] 48 [ 51 ] 49 [ 4 ] [ 6 ] [ 11 ] [ 14 ] 50 [ 29 ] 51 [ 26 ] [ 31 ] [ 40 ] 52 [ 31 ] [ 40 ] 53 [ 14 ] 54 [ 62 ] [ 71 ] 55 [ 81 ] 56 [ 69 ] [ 75 ] [ 88 ] 57 [ 49 ] [ 52 ] [ 59 ] [ 62 ] [ 63 ] [ 71 ] [ 79 ] 58 [ 70 ] [ 87 ] [ 89 ] 59 [ 22 ] [ 29 ] [ 33 ] [ 38 ] [ 46 ]  ©2006 Association for Computing Machinery |
