Abstract
Applications usually do not show a satisfied initial performance and require optimization. This kind of optimization often covers a complete process, starting with gathering performance data, followed by performance visualization and analysis, up to bottleneck finding and code modification. In this paper we introduce DECO (Development Environment for Code Optimization), an interactive graphical interface that enables the user to conduct this whole process within a single environment.
Chapter PDF
Similar content being viewed by others
References
Brown, D.I., Hackstadt, S.T., Malony, A.D., Mohr, B.: Program Analysis Environments for Parallel Language Systems: The TAU Environment. In: Proc. of the Workshop on Environments and Tools For Parallel Scientific Computing, May 1994, pp. 162–171 (1994)
Brunst, H., Hoppe, H.-C., Nagel, W.E., Winkler, M.: Performance Optimization for Large Scale Computing: The Scalable VAMPIR Approach. In: Alexandrov, V.N., Dongarra, J., Juliano, B.A., Renner, R.S., Tan, C.J.K. (eds.) ICCS-ComputSci 2001. LNCS, vol. 2074, pp. 751–760. Springer, Heidelberg (2001)
Dongarra, J., London, K., Moore, S., Mucci, P., Terpstra, D.: Using PAPI For Hardware Performance Monitoring On Linux Systems. In: Linux Clusters: The HPC Revolution (June 2001)
Fenlason, J., Stallman, R.: GNU gprof: The GNU Profiler, available at http://www.gnu.org/software/binutils/manual/gprof-2.9.1/html_mono/gprof.html
Intel Corporation. Intel Software Development Products, available at http://www.intel.com/cd/software/products/asmo-na/eng/index.htm
Magnusson, P.S., Werner, B.: Efficient Memory Simulation in SimICS. In: Proceedings of the 8th Annual Simulation Symposium, Phoenix, Arizona, USA (April 1995)
Miller, B.P., Callaghan, M.D., Cargille, J.M., Hollingsworth, J.K., Irvin, R.B., Karavanic, K.L., Kunchithapadam, K., Newhall, T.: The Paradyn parallel performance measurement tool. IEEE Computer 28(11), 37–46 (1995)
Müller-Pfefferkorn, R., Nagel, W.E., Trenkler, B.: Optimizing Cache Access: A Tool for Source-to-Source Transformations and Real-Life Compiler Tests. In: Danelutto, M., Vanneschi, M., Laforenza, D. (eds.) Euro-Par 2004. LNCS, vol. 3149, pp. 72–81. Springer, Heidelberg (2004)
Quaing, B., Tao, J., Karl, W.: YACO: A User Conducted Visualization Tool for Supporting Cache Optimization. In: Yang, L.T., Rana, O.F., Di Martino, B., Dongarra, J. (eds.) HPCC 2005. LNCS, vol. 3726, pp. 694–703. Springer, Heidelberg (2005)
Tao, J., Karl, W.: CacheIn: A Toolset for Comprehensive Cache Inspection. In: Sunderam, V.S., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2005. LNCS, vol. 3515, pp. 174–181. Springer, Heidelberg (2005)
Tao, J., Schloissnig, S., Karl, W.: Analysis of the Spatial and Temporal Locality in Data Accesses. In: Alexandrov, V.N., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2006. LNCS, vol. 3992, pp. 502–509. Springer, Heidelberg (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Tao, J., Dressler, T., Karl, W. (2007). An Interactive Graphical Environment for Code Optimization. In: Shi, Y., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2007. ICCS 2007. Lecture Notes in Computer Science, vol 4488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72586-2_117
Download citation
DOI: https://doi.org/10.1007/978-3-540-72586-2_117
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72585-5
Online ISBN: 978-3-540-72586-2
eBook Packages: Computer ScienceComputer Science (R0)