Welcome to D
SIGMOD 2004
PODS 2004
SIGMOD RECOR
CIKM 2004
DASFAA 2004
DBPL 2003
DE-BULLETIN
DEBS 2004
DMKD 2004
DMSN 2004
DOLAP 2004
DPDJ 2004
EDBT 2004
ER 2003
GIS 2004
HDP 2004
HYPERTEXT 20
ICDE 2004
ICDT 2003
JCDL 2004
MDM
MIR 2004
MIS 2004
MMDB 2004
MOBIDE 2003
RIDE 2004
SBBD 2003
SIGIR FORUM
SIGIR 2004
SIGKDD EXPLO
SIGKDD 2004
SSDBM 2004
SSTD 2003
TIME 2004
TODS 2004
VLDB 2004
VLDB Journal
WEBDB 2004
WIDM 2004
XIME-P 2004
Footer

Gagan Agrawal

Papers on DiSC'04


Using XQuery for Flat-File Based Scientific Datasets

XQuery Perspective: Using XML/XQuery for Scientific Applications and Applying Scientific Compilation Techniques

Publications


Note: Links lead to the DBLP on the Web.

Gagan Agrawal

Leonid Glimcher , Gagan Agrawal, Sameep Mehta , Ruoming Jin , Raghu Machiraju : Parallelizing a Defect Detection and Categorization Application. IPDPS 2005

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)

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

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 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

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 N. 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 [ 53 ] [ 72 ]

4 [ 14 ]

5 [ 66 ] [ 71 ] [ 73 ]

6 [ 9 ] [ 14 ]

7 [ 49 ] [ 54 ] [ 59 ] [ 65 ] [ 69 ]

8 [ 11 ] [ 14 ]

9 [ 27 ] [ 28 ] [ 30 ] [ 37 ] [ 39 ] [ 46 ] [ 53 ] [ 54 ] [ 60 ]

10 [ 26 ] [ 29 ] [ 31 ] [ 40 ] [ 44 ]

11 [ 19 ]

12 [ 67 ] [ 74 ] [ 76 ]

13 [ 70 ]

14 [ 34 ]

15 [ 14 ]

16 [ 26 ] [ 31 ] [ 40 ]

17 [ 16 ] [ 25 ]

18 [ 14 ]

19 [ 2 ] [ 3 ] [ 7 ]

20 [ 27 ] [ 28 ] [ 35 ] [ 36 ] [ 41 ] [ 42 ] [ 43 ] [ 47 ] [ 48 ] [ 51 ] [ 52 ] [ 56 ] [ 57 ] [ 58 ] [ 61 ] [ 62 ] [ 68 ] [ 70 ] [ 75 ] [ 76 ]

21 [ 26 ] [ 31 ] [ 38 ] [ 40 ] [ 44 ] [ 45 ]

22 [ 53 ] [ 72 ]

23 [ 53 ]

24 [ 50 ]

25 [ 35 ] [ 55 ] [ 57 ] [ 60 ] [ 63 ] [ 64 ]

26 [ 76 ]

27 [ 76 ]

28 [ 14 ]

29 [ 19 ]

30 [ 72 ]

31 [ 26 ]

32 [ 16 ] [ 22 ] [ 25 ] [ 29 ]

33 [ 14 ]

34 [ 73 ]

35 [ 64 ]

36 [ 53 ]

37 [ 4 ] [ 5 ] [ 6 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] [ 12 ] [ 13 ] [ 14 ] [ 27 ] [ 28 ] [ 30 ] [ 37 ] [ 39 ] [ 46 ] [ 72 ]

38 [ 25 ]

39 [ 14 ]

40 [ 26 ]

41 [ 50 ]

42 [ 4 ] [ 6 ] [ 11 ] [ 14 ]

43 [ 29 ]

44 [ 26 ] [ 31 ] [ 40 ]

45 [ 31 ] [ 40 ]

46 [ 14 ]

47 [ 61 ] [ 68 ]

48 [ 72 ]

49 [ 48 ] [ 51 ] [ 58 ] [ 61 ] [ 62 ] [ 68 ] [ 75 ]

50 [ 67 ]

51 [ 22 ] [ 29 ] [ 33 ] [ 38 ] [ 45 ]




©2005 Association for Computing Machinery