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Author:
Gagan Agrawal: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Gagan Agrawal, Pankaj Jalote
    An Efficient Protocol for Voting In Distributed Systems. [Citation Graph (1, 0)][DBLP]
    ICDCS, 1992, pp:640-647 [Conf]
  2. Renato Ferreira, Joel H. Saltz, Gagan Agrawal
    Compiler and Runtime Analysis for Efficient Communication in Data Intensive Applications. [Citation Graph (0, 0)][DBLP]
    IEEE PACT, 2001, pp:231-242 [Conf]
  3. Swarup Kumar Sahoo, Gagan Agrawal
    Data Centric Transformations on Non-Integer Iteration Spaces. [Citation Graph (0, 0)][DBLP]
    IEEE PACT, 2005, pp:133-142 [Conf]
  4. Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal
    Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets. [Citation Graph (0, 0)][DBLP]
    BIBE, 2005, pp:177-184 [Conf]
  5. Kaushik Sinha, Ruoming Jin, Gagan Agrawal, Helen Piontkivska
    Exploratory Tools for Follow­Up Studies to Microarray Experiments. [Citation Graph (0, 0)][DBLP]
    BIBE, 2006, pp:81-85 [Conf]
  6. Xuan Zhang, Gagan Agrawal
    A Tool for Supporting Integration Across Multiple Flat­File Datasets. [Citation Graph (0, 0)][DBLP]
    BIBE, 2006, pp:141-148 [Conf]
  7. Xuan Zhang, Ruoming Jin, Gagan Agrawal
    Assigning Schema Labels Using Ontology And Hueristics. [Citation Graph (0, 0)][DBLP]
    BIBE, 2006, pp:269-280 [Conf]
  8. Gagan Agrawal
    Demand-Driven Construction of Call Graphs. [Citation Graph (0, 0)][DBLP]
    CC, 2000, pp:125-140 [Conf]
  9. Gagan Agrawal, Jinqian Li, Qi Su
    Evaluating a Demand Driven Technique for Call Graph Construction. [Citation Graph (0, 0)][DBLP]
    CC, 2002, pp:29-45 [Conf]
  10. Wei Du, Gagan Agrawal
    Developing Distributed Data Mining Implementations for a Grid Environment. [Citation Graph (0, 0)][DBLP]
    CCGRID, 2002, pp:440-441 [Conf]
  11. Li Weng, Ümit V. Çatalyürek, Tahsin M. Kurç, Gagan Agrawal, Joel H. Saltz
    Servicing range queries on multidimensional datasets with partial replicas. [Citation Graph (0, 0)][DBLP]
    CCGRID, 2005, pp:726-733 [Conf]
  12. Ge Yang, Ruoming Jin, Gagan Agrawal
    Implementing Data Cube Construction using a Cluster Middleware: Algorithms, Implementation Experience, and Performance Evaluation. [Citation Graph (0, 0)][DBLP]
    CCGRID, 2002, pp:84-92 [Conf]
  13. Xiaogang Li, Gagan Agrawal
    Using XQuery for Flat-File Based Scientific Datasets. [Citation Graph (0, 0)][DBLP]
    DBPL, 2003, pp:179-194 [Conf]
  14. Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal
    Learning Layouts of Biological Datasets Semi-automatically. [Citation Graph (0, 0)][DBLP]
    DILS, 2005, pp:31-45 [Conf]
  15. Leonid Glimcher, Gagan Agrawal
    Parallelizing EM Clustering Algorithm on a Cluster of SMPs. [Citation Graph (0, 0)][DBLP]
    Euro-Par, 2004, pp:372-380 [Conf]
  16. Ruoming Jin, Gagan Agrawal
    Shared Memory Parallelization of Decision Tree Construction Using a General Data Mining Middleware. [Citation Graph (0, 0)][DBLP]
    Euro-Par, 2002, pp:346-354 [Conf]
  17. 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). [Citation Graph (0, 0)][DBLP]
    Euro-Par, 2000, pp:625-637 [Conf]
  18. Qian Zhu, Liang Chen, Gagan Agrawal
    Supporting a Real-Time Distributed Intrusion Detection Application on GATES. [Citation Graph (0, 0)][DBLP]
    Euro-Par, 2006, pp:360-370 [Conf]
  19. Ruoming Jin, Ge Yang, Gagan Agrawal
    Parallel Data Cube Construction: Algorithms, Theoretical Analysis, and Experimental Evaluation. [Citation Graph (0, 0)][DBLP]
    HiPC, 2003, pp:74-84 [Conf]
  20. Gagan Agrawal
    Advanced Communication Optimaizations for Data-Parallel Programs. [Citation Graph (0, 0)][DBLP]
    HPCN Europe, 1999, pp:1139-1142 [Conf]
  21. Gary M. Zoppetti, Gagan Agrawal, Rishi Kumar
    Impact of Data Distribution on Performance of Irregular Reductions on Multithreaded Architectures. [Citation Graph (0, 0)][DBLP]
    HPCN Europe, 2001, pp:483-492 [Conf]
  22. Liang Chen, Kolagatla Reddy, Gagan Agrawal
    GATES: A Grid-Based Middleware for Processing Distributed Data Streams. [Citation Graph (0, 0)][DBLP]
    HPDC, 2004, pp:192-201 [Conf]
  23. Li Weng, Gagan Agrawal, Ümit V. Çatalyürek, Tahsin M. Kurç, Sivaramakrishnan Narayanan, Joel H. Saltz
    An Approach for Automatic Data Virtualization. [Citation Graph (0, 0)][DBLP]
    HPDC, 2004, pp:24-33 [Conf]
  24. Liang Chen, Gagan Agrawal
    Self-Adaptation in a Middleware for Processing Data Streams. [Citation Graph (0, 0)][DBLP]
    ICAC, 2004, pp:292-293 [Conf]
  25. Pankaj Jalote, Gagan Agrawal
    Using Coding to Support Data Resiliency in Distributed Systems. [Citation Graph (0, 16)][DBLP]
    ICDE, 1992, pp:192-199 [Conf]
  26. Ruoming Jin, Gagan Agrawal
    Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases. [Citation Graph (0, 0)][DBLP]
    ICDE, 2006, pp:17- [Conf]
  27. Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gagan Agrawal
    New Sampling-Based Estimators for OLAP Queries. [Citation Graph (0, 0)][DBLP]
    ICDE, 2006, pp:18- [Conf]
  28. Ruoming Jin, Gagan Agrawal
    An Algorithm for In-Core Frequent Itemset Mining on Streaming Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:210-217 [Conf]
  29. Anjan Goswami, Ruoming Jin, Gagan Agrawal
    Fast and Exact Out-of-Core K-Means Clustering. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:83-90 [Conf]
  30. Wei Du, Gagan Agrawal
    Packet Size Optimization for Supporting Coarse-Grained Pipelined Parallelism. [Citation Graph (0, 0)][DBLP]
    ICPP, 2004, pp:259-266 [Conf]
  31. Wei Du, Gagan Agrawal
    Filter Decomposition for Supporting Coarse-Grained Pipelined Parallelism. [Citation Graph (0, 0)][DBLP]
    ICPP, 2005, pp:539-546 [Conf]
  32. Gagan Agrawal
    Automatic Data Partitioning for Irregular and Adaptive Applications. [Citation Graph (0, 0)][DBLP]
    ICPP, 1998, pp:587-594 [Conf]
  33. Leonid Glimcher, Ruoming Jin, Gagan Agrawal
    FREERIDE-G: Supporting Applications that Mine Remote. [Citation Graph (0, 0)][DBLP]
    ICPP, 2006, pp:109-118 [Conf]
  34. Ruoming Jin, Karthik Vaidyanathan, Ge Yang, Gagan Agrawal
    Using Tiling to Scale Parallel Data Cube Construction. [Citation Graph (0, 0)][DBLP]
    ICPP, 2004, pp:365-372 [Conf]
  35. Ruoming Jin, Ge Yang, Karthik Vaidyanathan, Gagan Agrawal
    Communication and Memory Optimal Parallel Data Cube Construction. [Citation Graph (0, 0)][DBLP]
    ICPP, 2003, pp:573-580 [Conf]
  36. 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. [Citation Graph (0, 0)][DBLP]
    ICPP, 2006, pp:271-280 [Conf]
  37. Gagan Agrawal, Anurag Acharya, Joel H. Saltz
    An Interprocedural Framework for Placement of Asynchronous I/O Operations. [Citation Graph (0, 0)][DBLP]
    International Conference on Supercomputing, 1996, pp:358-365 [Conf]
  38. Renato Ferreira, Gagan Agrawal, Joel H. Saltz
    Compiling object-oriented data intensive applications. [Citation Graph (0, 0)][DBLP]
    ICS, 2000, pp:11-21 [Conf]
  39. Renato Ferreira, Gagan Agrawal, Joel H. Saltz
    Compiler supported high-level abstractions for sparse disk-resident datasets. [Citation Graph (0, 0)][DBLP]
    ICS, 2002, pp:241-251 [Conf]
  40. Xiaogang Li, Renato Ferreira, Gagan Agrawal
    Compiler support for efficient processing of XML datasets. [Citation Graph (0, 0)][DBLP]
    ICS, 2003, pp:42-52 [Conf]
  41. 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. [Citation Graph (0, 0)][DBLP]
    ICS, 2000, pp:306-315 [Conf]
  42. Gagan Agrawal
    Simultaneous Demand-Driven Data-Flow and Call Graph Analysis. [Citation Graph (0, 0)][DBLP]
    ICSM, 1999, pp:453-462 [Conf]
  43. Xiaogang Li, Gagan Agrawal
    Parallelizing XQuery In a Cluster Environment. [Citation Graph (0, 0)][DBLP]
    IDEAS, 2006, pp:291-294 [Conf]
  44. Wei Du, Gagan Agrawal
    Compiler Supported Coarse-Grained Pipelined Parallelism: Why and How. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2003, pp:204- [Conf]
  45. Guy Edjlali, Gagan Agrawal, Alan Sussman, Joel H. Saltz
    Data parallel programming in an adaptive environment. [Citation Graph (0, 0)][DBLP]
    IPPS, 1995, pp:827-832 [Conf]
  46. Leonid Glimcher, Gagan Agrawal, Sameep Mehta, Ruoming Jin, Raghu Machiraju
    Parallelizing a Defect Detection and Categorization Application. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2005, pp:- [Conf]
  47. Leonid Glimcher, Xuan Zhang, Gagan Agrawal
    Scaling and Parallelizing a Scientific Feature Mining Application Using a Cluster Middleware. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2004, pp:- [Conf]
  48. Ruoming Jin, Gagan Agrawal
    An efficient association mining implementation on clusters of SMP. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2001, pp:156- [Conf]
  49. Ruoming Jin, Gagan Agrawal
    Design and Evaluation of a High-Level Interface for Data Mining. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2002, pp:- [Conf]
  50. Rishi Kumar, Gagan Agrawal, Guang R. Gao
    Compiling Several Classes of Communication Patterns on a Multithreaded Architecture. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2002, pp:- [Conf]
  51. Xiaogang Li, Ruoming Jin, Gagan Agrawal
    A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2003, pp:7- [Conf]
  52. Ge Yang, Ruoming Jin, Gagan Agrawal
    Impact of Data Distribution, Level of Parallelism, and Communication Frequency on Parallel Data Cube Construction. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2003, pp:66- [Conf]
  53. Gary M. Zoppetti, Gagan Agrawal, Rishi Kumar
    Compiler and Runtime Support for Irregular Reductions on a Multithreaded Architecture. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2002, pp:- [Conf]
  54. Liang Chen, Gagan Agrawal
    Supporting self-adaptation in streaming data mining applications. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2006, pp:- [Conf]
  55. Ruoming Jin, Gagan Agrawal
    Efficient decision tree construction on streaming data. [Citation Graph (0, 0)][DBLP]
    KDD, 2003, pp:571-576 [Conf]
  56. Ruoming Jin, Kaushik Sinha, Gagan Agrawal
    Simultaneous optimization of complex mining tasks with a knowledgeable cache. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:600-605 [Conf]
  57. Ruoming Jin, Chao Wang, Dmitrii Polshakov, Srinivasan Parthasarathy, Gagan Agrawal
    Discovering frequent topological structures from graph datasets. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:606-611 [Conf]
  58. Gagan Agrawal
    I/O Granularity Transformations. [Citation Graph (0, 0)][DBLP]
    LCPC, 1998, pp:68-82 [Conf]
  59. Gagan Agrawal, Ruoming Jin, Xiaogang Li
    Compiler and Middleware Support for Scalable Data Mining. [Citation Graph (0, 0)][DBLP]
    LCPC, 2001, pp:33-51 [Conf]
  60. Gagan Agrawal, Joel H. Saltz
    Interprocedural Communication Optimizations for Distributed Memory Compilation. [Citation Graph (0, 0)][DBLP]
    LCPC, 1994, pp:283-299 [Conf]
  61. Gagan Agrawal, Joel H. Saltz
    Interprocedural Data Flow Based Optimizations for Compilation of Irregular Problems. [Citation Graph (0, 0)][DBLP]
    LCPC, 1995, pp:465-479 [Conf]
  62. Xiaogang Li, Gagan Agrawal
    Supporting High-Level Abstractions through XML Technology. [Citation Graph (0, 0)][DBLP]
    LCPC, 2003, pp:127-146 [Conf]
  63. Renato Ferreira, Gagan Agrawal, Ruoming Jin, Joel H. Saltz
    Compiling Data Intensive Applications with Spatial Coordinates. [Citation Graph (0, 0)][DBLP]
    LCPC, 2000, pp:339-354 [Conf]
  64. Xiaogang Li, Ruoming Jin, Gagan Agrawal
    Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms. [Citation Graph (0, 0)][DBLP]
    LCPC, 2002, pp:265-279 [Conf]
  65. Swarup Kumar Sahoo, Gagan Agrawal
    Supporting XML Based High-Level Abstractions on HDF5 Datasets: A Case Study in Automatic Data Virtualization. [Citation Graph (0, 0)][DBLP]
    LCPC, 2004, pp:299-318 [Conf]
  66. Xiaogang Li, Gagan Agrawal
    Code Transformations for One-Pass Analysis. [Citation Graph (0, 0)][DBLP]
    LCPC, 2005, pp:377-396 [Conf]
  67. Li Weng, Gagan Agrawal, Ümit V. Çatalyürek, Joel H. Saltz
    Supporting SQL-3 Aggregations on Grid-Based Data Repositories. [Citation Graph (0, 0)][DBLP]
    LCPC, 2004, pp:283-298 [Conf]
  68. Gary M. Zoppetti, Gagan Agrawal, Lori L. Pollock
    Thresholding for Work Distribution of Recursive, Multithreaded Functions. [Citation Graph (0, 0)][DBLP]
    LCPC, 1999, pp:485-489 [Conf]
  69. Gagan Agrawal, Renato Ferreira, Ruoming Jin, Joel H. Saltz
    High Level Programming Methodologies for Data Intensive Computations. [Citation Graph (0, 0)][DBLP]
    LCR, 2000, pp:32-43 [Conf]
  70. Dixie Hisley, Gagan Agrawal, Lori L. Pollock
    Evaluating the Effectiveness of a Parallelizing Compiler. [Citation Graph (0, 0)][DBLP]
    LCR, 1998, pp:195-204 [Conf]
  71. Liang Chen, Gagan Agrawal
    Resource allocation in a middleware for streaming data. [Citation Graph (0, 0)][DBLP]
    Middleware for Grid Computing, 2004, pp:5-10 [Conf]
  72. Gagan Agrawal, Liang Guo
    Evaluating explicitly context-sensitive program slicing. [Citation Graph (0, 0)][DBLP]
    PASTE, 2001, pp:6-12 [Conf]
  73. Gagan Agrawal, Joel H. Saltz, Raja Das
    Interprocedural Partial Redundancy Elimination and its Application to Distributed Memory Compilation. [Citation Graph (0, 0)][DBLP]
    PLDI, 1995, pp:258-269 [Conf]
  74. Qian Zhu, Liang Chen, Gagan Agrawal
    Supporting fault-tolerance in streaming grid applications. [Citation Graph (0, 0)][DBLP]
    PPOPP, 2007, pp:156-157 [Conf]
  75. Gary M. Zoppetti, Gagan Agrawal
    An Execution Strategy for Irregular Reductions on Multithreaded Architectures. [Citation Graph (0, 0)][DBLP]
    PPSC, 2001, pp:- [Conf]
  76. Wei Du, Gagan Agrawal
    Language and Compiler Support for Adaptive Applications. [Citation Graph (0, 0)][DBLP]
    SC, 2004, pp:29- [Conf]
  77. Gagan Agrawal, Joel H. Saltz
    Interprocedural Compilation of Irregular Applications for Distributed Memory Machines. [Citation Graph (0, 0)][DBLP]
    SC, 1995, pp:- [Conf]
  78. Gagan Agrawal, Alan Sussman, Joel H. Saltz
    Compiler and runtime support for structured and block structured applications. [Citation Graph (0, 0)][DBLP]
    SC, 1993, pp:578-587 [Conf]
  79. Wei Du, Renato Ferreira, Gagan Agrawal
    Compiler Support for Exploiting Coarse-Grained Pipelined Parallelism. [Citation Graph (0, 0)][DBLP]
    SC, 2003, pp:8- [Conf]
  80. Tahsin M. Kurç, Feng Lee, Gagan Agrawal, Ümit V. Çatalyürek, Renato Ferreira, Joel H. Saltz
    Optimizing Reduction Computations In a Distributed Environment. [Citation Graph (0, 0)][DBLP]
    SC, 2003, pp:9- [Conf]
  81. 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. [Citation Graph (0, 0)][DBLP]
    SC, 2000, pp:- [Conf]
  82. Liang Chen, Qian Zhu, Gagan Agrawal
    Grid scheduling and protocols - Supporting dynamic migration in tightly coupled grid applications. [Citation Graph (0, 0)][DBLP]
    SC, 2006, pp:117- [Conf]
  83. Ruoming Jin, Gagan Agrawal
    Communication and Memory Efficient Parallel Decision Tree Construction. [Citation Graph (0, 0)][DBLP]
    SDM, 2003, pp:- [Conf]
  84. Ruoming Jin, Gagan Agrawal
    Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. [Citation Graph (0, 0)][DBLP]
    SDM, 2002, pp:- [Conf]
  85. Ruoming Jin, Gagan Agrawal
    Performance prediction for random write reductions: a case study in modeling shared memory programs. [Citation Graph (0, 0)][DBLP]
    SIGMETRICS, 2002, pp:117-128 [Conf]
  86. Gagan Agrawal
    Availability of Coding Based Replication Schemes. [Citation Graph (0, 0)][DBLP]
    Symposium on Reliable Distributed Systems, 1992, pp:103-110 [Conf]
  87. Xiaogang Li, Gagan Agrawal
    Efficient Evaluation of XQuery over Streaming Data. [Citation Graph (0, 0)][DBLP]
    VLDB, 2005, pp:265-276 [Conf]
  88. Xiaogang Li, Swarup Kumar Sahoo, Gagan Agrawal
    XQuery Perspective: Using XML/XQuery for Scientific Applications and Applying Scientific Compilation Techniques. [Citation Graph (0, 0)][DBLP]
    XIME-P, 2004, pp:25-30 [Conf]
  89. 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. [Citation Graph (0, 0)][DBLP]
    Advances in Computers, 1997, v:45, n:, pp:105-153 [Journal]
  90. Liang Chen, Gagan Agrawal
    A static resource allocation framework for Grid-based streaming applications. [Citation Graph (0, 0)][DBLP]
    Concurrency and Computation: Practice and Experience, 2006, v:18, n:6, pp:653-666 [Journal]
  91. Dixie Hisley, Gagan Agrawal, Punyam Satya-narayana, Lori L. Pollock
    Porting and performance evaluation of irregular codes using OpenMP. [Citation Graph (0, 0)][DBLP]
    Concurrency - Practice and Experience, 2000, v:12, n:12, pp:1241-1259 [Journal]
  92. 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. [Citation Graph (0, 0)][DBLP]
    Concurrency and Computation: Practice and Experience, 2002, v:14, n:3, pp:183-201 [Journal]
  93. Ge Yang, Ruoming Jin, Gagan Agrawal
    Implementing data cube construction using a cluster middleware: algorithms, implementation experience, and performance evaluation. [Citation Graph (0, 0)][DBLP]
    Future Generation Comp. Syst., 2003, v:19, n:4, pp:533-550 [Journal]
  94. Ruoming Jin, Anjan Goswami, Gagan Agrawal
    Fast and exact out-of-core and distributed k-means clustering. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2006, v:10, n:1, pp:17-40 [Journal]
  95. Renato Ferreira, Gagan Agrawal, Joel H. Saltz
    Data parallel language and compiler support for data intensive applications. [Citation Graph (0, 0)][DBLP]
    Parallel Computing, 2002, v:28, n:5, pp:725-748 [Journal]
  96. Ruoming Jin, Gagan Agrawal
    A methodology for detailed performance modeling of reduction computations on SMP machines. [Citation Graph (0, 0)][DBLP]
    Perform. Eval., 2005, v:60, n:1-4, pp:73-105 [Journal]
  97. Gagan Agrawal
    Data Distribution Analysis for Irregular and Adaptive Codes. [Citation Graph (0, 0)][DBLP]
    Parallel Processing Letters, 1999, v:9, n:1, pp:135-146 [Journal]
  98. Gagan Agrawal, Shyamala Murthy, Chandrashekar Garud
    A Novel Program Representation for Interprocedural Analysis. [Citation Graph (0, 0)][DBLP]
    SIGPLAN Notices, 1999, v:34, n:4, pp:70-76 [Journal]
  99. Gagan Agrawal, Joel H. Saltz
    Interprocedural Data Flow Based Optimizations for Distributed Memory Compilation. [Citation Graph (0, 0)][DBLP]
    Softw., Pract. Exper., 1997, v:27, n:5, pp:519-545 [Journal]
  100. Ruoming Jin, Ge Yang, Gagan Agrawal
    Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:1, pp:71-89 [Journal]
  101. Gagan Agrawal
    Interprocedural Partial Redundancy Elimination With Application to Distributed Memory Compilation. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Parallel Distrib. Syst., 1998, v:9, n:7, pp:609-625 [Journal]
  102. Gagan Agrawal
    A General Interprocedural Framework for Placement of Split-Phase Large Latency Operations. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Parallel Distrib. Syst., 1999, v:10, n:4, pp:394-413 [Journal]
  103. Gagan Agrawal, Pankaj Jalote
    Coding-Based Replication Schemes for Distributed Systems. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Parallel Distrib. Syst., 1995, v:6, n:3, pp:240-251 [Journal]
  104. Gagan Agrawal, Alan Sussman, Joel H. Saltz
    An Integrated Runtime and Compile-Time Approach for Parallelizing Structured and Block Structured Applications. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Parallel Distrib. Syst., 1995, v:6, n:7, pp:747-754 [Journal]
  105. Ruoming Jin, Karthikeyan Vaidyanathan, Ge Yang, Gagan Agrawal
    Communication and Memory Optimal Parallel Data Cube Construction. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Parallel Distrib. Syst., 2005, v:16, n:12, pp:1105-1119 [Journal]
  106. Xuan Zhang, Gagan Agrawal
    Enabling information integration and workflows in a grid environment with automatic wrapper generation. [Citation Graph (0, 0)][DBLP]
    GRID, 2005, pp:156-163 [Conf]
  107. Leonid Glimcher, Gagan Agrawal
    A Performance Prediction Framework for Grid-Based Data Mining Applications. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2007, pp:1-10 [Conf]
  108. Leonid Glimcher, Gagan Agrawal
    A Performance Prediction Framework for Grid-Based Data Mining Applications. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2007, pp:1-10 [Conf]

  109. Graph and Topological Structure Mining on Scientific Articles. [Citation Graph (, )][DBLP]


  110. SNPMiner: A Domain-Specific Deep Web Mining Tool. [Citation Graph (, )][DBLP]


  111. A Self-Healing Approach for a Domain-Specific Deep Web Search Tool. [Citation Graph (, )][DBLP]


  112. Instance Discovery and Schema Matching with Applications to Biological Deep Web Data Integration. [Citation Graph (, )][DBLP]


  113. A Middleware for Developing and Deploying Scalable Remote Mining Services. [Citation Graph (, )][DBLP]


  114. A Map-Reduce System with an Alternate API for Multi-core Environments. [Citation Graph (, )][DBLP]


  115. Hierarchical Caches for Grid Workflows. [Citation Graph (, )][DBLP]


  116. Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster. [Citation Graph (, )][DBLP]


  117. Comparing map-reduce and FREERIDE for data-intensive applications. [Citation Graph (, )][DBLP]


  118. Query Reuse Based Query Planning for Searches over the Deep Web. [Citation Graph (, )][DBLP]


  119. Exploiting Parallelism to Accelerate Keyword Search on Deep-Web Sources. [Citation Graph (, )][DBLP]


  120. Instance Discovery and Schema Matching with Applications to Biological Deep Web Data Integration. [Citation Graph (, )][DBLP]


  121. Personality Based Latent Friendship Mining. [Citation Graph (, )][DBLP]


  122. Composing geoinformatics workflows with user preferences. [Citation Graph (, )][DBLP]


  123. Optimizing multiple queries on scientific datasets with partial replicas. [Citation Graph (, )][DBLP]


  124. Cost and accuracy sensitive dynamic workflow composition over grid environments. [Citation Graph (, )][DBLP]


  125. Supporting load balancing for distributed data-intensive applications. [Citation Graph (, )][DBLP]


  126. Integrating and optimizing transactional memory in a data mining middleware. [Citation Graph (, )][DBLP]


  127. Resource provisioning with budget constraints for adaptive applications in cloud environments. [Citation Graph (, )][DBLP]


  128. An Adaptive Middleware for Supporting Time-Critical Event Response. [Citation Graph (, )][DBLP]


  129. Extracting Output Metadata from Scientific Deep Web Data Sources. [Citation Graph (, )][DBLP]


  130. Resource Allocation for Distributed Streaming Applications. [Citation Graph (, )][DBLP]


  131. A translation system for enabling data mining applications on GPUs. [Citation Graph (, )][DBLP]


  132. Compiler and runtime support for enabling generalized reduction computations on heterogeneous parallel configurations. [Citation Graph (, )][DBLP]


  133. A Dynamic Approach toward QoS-Aware Service Workflow Composition. [Citation Graph (, )][DBLP]


  134. Supporting high performance bioinformatics flat-file data processing using indices. [Citation Graph (, )][DBLP]


  135. Supporting fault-tolerance in streaming grid applications. [Citation Graph (, )][DBLP]


  136. Supporting a visualization application on a self-adapting grid middleware. [Citation Graph (, )][DBLP]


  137. A resource allocation approach for supporting time-critical applications in grid environments. [Citation Graph (, )][DBLP]


  138. A compiler and runtime system for enabling data mining applications on gpus. [Citation Graph (, )][DBLP]


  139. Supporting fault-tolerance for time-critical events in distributed environments. [Citation Graph (, )][DBLP]


  140. Enabling Ad Hoc Queries over Low-Level Scientific Data Sets. [Citation Graph (, )][DBLP]


  141. Query Planning for Searching Inter-dependent Deep-Web Databases. [Citation Graph (, )][DBLP]


  142. SEEDEEP: A System for Exploring and Querying Scientific Deep Web Data Sources. [Citation Graph (, )][DBLP]


  143. A Vision for Cyberinfrastructure for Coastal Forecasting and Change Analysis. [Citation Graph (, )][DBLP]


  144. An adaptive middleware for supporting time-critical event response. [Citation Graph (, )][DBLP]


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