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First, the pC++ language will be extended to include task-parallelprogramming and more aggressive compiler optimizations. Second, we are working on bettertools for the programming environment (make-and-compile manager, graphical instrumentation control, data distribution visualization, barrier breakpoint debugger, etc.) that willbe integrated with the current version of .
Lastly, we will try to provide interaction withother high-performance languages like HPF, C++, Fortran-M, etc.7 ConclusionThe pC++ programming system includes an integrated set of performance instrumentation,measurement, and analysis tools. With this support, we have been able to validate performance scalability claims of the language and characterize important performance factorsof the runtime system ports during pC++ system development. As a consequence, the rstversion of the compiler is being introduced with an extensive set of performance experimentsalready documented.The environment demonstrates the advantages of language-specic program analysistools. Its design and integration with the pC++ language system allows important programming productivity issues to be addressed. In addition, enables more sophisticateddebugging and performance analysis tools to be developed and eectively applied.For more information ...Documentation and source code for pC++ and Sage++ are available via anonymous FTPfrom moose.cs.indiana.edu and ftp.cica.indiana.edu in the directory ~ftp/pub/sage.
is part of the pC++ distribution. We maintain two mailing lists for pC++ and Sage++.For more information or how to join one, send mail to sage-request@cica.indiana.edu.No subject or body is required. Also, the pC++/Sage++ project has created a World-WideWeb server which can be found at http://www.cica.indiana.edu/sage/home-page.html.Any WWW viewer can be used to browse the on-line user's guides and papers, get programs,and even view pictures of the development team.14References[1] J. Hollingsworth and B.
Miller. Dynamic Control of Performance Monitoring on Large Scale ParallelSystems. Proceedings of the 1993 International Conference on Supercomputing, July 1993.[2] P. Messina and T. Sterling, editors. System Software and Tools for High Performance Computing Environments. Society for Industrial and Applied Mathematics, April 1993. from the Pasadena Workshopon System Software and Tools for High Performance Computing Environment, Pasadena, California.[3] D. Gannon, F. Bodin, S. Srinivas, N. Sundaresan, S. Narayana, Sage++, An Object Oriented Toolkit forProgram Transformations, Technical Report, Dept. of Computer Science, Indiana University.
1993.[4] V. Herrarte, E. Lusk, Studying Parallel Program Behavior with Upshot, Technical Report ANL-91/15,Mathematics and Computer Science Division, Argonne National Laboratory, August 1991.[5] A. Chien and W. Dally. Concurrent Aggregates (CA), Proc. 2nd ACM Sigplan Symposium on Principles& Practice of Parallel Programming, Seattle, Washington, March, 1990.[6] High Performance Fortran Forum, High Performance Fortran Language Specication, 1993.
Availablefrom titan.cs.rice.edu by anonymous ftp.[7] J. K. Lee, Object Oriented Parallel Programming Paradigms and Environments For Supercomputers,Ph.D. Thesis, Indiana University, Bloomington, Indiana, Jun 1992.[8] D. Gannon, J. K. Lee, On Using Object Oriented Parallel Programming to Build Distributed AlgebraicAbstractions, Proc.
CONPAR 92{VAPP, Lyon, France, Sept. 1992.[9] D. Gannon, Libraries and Tools for Object Parallel Programming, Proc. CNRS-NSF Workshop on Environments and Tools For Parallel Scientic Computing, St. Hilaire du Touvet, France, Elsevier, Advancesin Parallel Computing, Vol. 6, pp. 231{246, 1993.[10] B. Mohr, Performance Evaluation of Parallel Programs in Parallel and Distributed Systems, H. Burkhart(Eds.), Proc.
CONPAR 90{VAPP IV, Joint International Conference on Vector and Parallel Processing,Zurich, Lecture Notes in Computer Science 457, pp. 176{187, Berlin, Heidelberg, New York, London,Paris, Tokio, Springer Verlag, 1990.[11] B. Mohr, Standardization of Event Traces Considered Harmful or Is an Implementation of ObjectIndependent Event Trace Monitoring and Analysis Systems Possible?, Proc. CNRS-NSF Workshop onEnvironments and Tools For Parallel Scientic Computing, St.
Hilaire du Touvet, France, Elsevier,Advances in Parallel Computing, Vol. 6, pp. 103{124, 1993.[12] J. K. Ousterhout, Tcl: An Embeddable Command Language, Proc. 1990 Winter USENIX Conference.[13] J. K. Ousterhout, An X11 Toolkit Based on the Tcl Language, Proc.
1991 Winter USENIX Conference.[14] F. Bodin, P. Beckman, D. Gannon, S. Yang, S. Kesavan, A. Malony, B. Mohr, Implementing a ParallelC++ Runtime System for Scalable Parallel Systems, Proc. 1993 Supercomputing Conference, Portland,Oregon, pp. 588{597, Nov. 1993.[15] A. Malony, B. Mohr, P. Beckman, D. Gannon, S. Yang, F. Bodin, Performance Analysis of pC++:A Portable Data-Parallel Programming System for Scalable Parallel Computers, Proc. 8th Int. ParallelProcessing Symb. (IPPS), Cancun, Mexico, Apr.
1994.[16] D. A. Reed, R. D. Olson, R. A. Aydt, T. M. Madhyasta, T. Birkett, D. W. Jensen, B. A. A. Nazief,B. K. Totty, Scalable Performance Environments for Parallel Systems. Proc. 6th Distributed MemoryComputing Conference, IEEE Computer Society Press, pp. 562{569, 1991.[17] D. A. Reed, R. A. Aydt, T. M. Madhyastha, Roger J. Noe, Keith A. Shields, B. W. Schwartz, AnOverview of the Pablo Performance Analysis Environment. Department of Computer Science, Universityof Illinois, November 1992.[18] V.
S. Sunderam, PVM: A Framework for Parallel Distributed Computing, Concurrency: Practice &Experience, Vol. 2, No. 4, pp. 315{339, December 1990.15.
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