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Intel Software Autotuning Tool
The Intel Software Autotuning Tool (ISAT) is a new performance tuning tool that supports automatic searching for the near-optimal values of program parameters that have significant performance impact. Examples are the cache-blocking factors in matrix computations, the task granularity in TBB, and the scheduling policy of OpenMP parallel constructs. The output of ISAT is a tuned version of the program based on the searching results. In addition, it supports visualization of the tuning results (e.g., Figure 1) so that the developer can have a better understanding of his program performance. ISAT can be used on top of any C/C++ compilers on Linux.
Figure 1: Visualization of ISAT results.
- Automatic searching of the near-optimal values of program parameters
- Easy to use with no compiler dependency
- Programmer-controlled searching strategies
- Threading-library specific tuning for OpenMP and TBB
- Visualization of tuning results
- The autotuner is open-sourced
- 32 or 64-bit Linux; Python version between 2.4 and 2.9; any C/C++ compiler.
- User manual
- A Synergetic Approach to Throughput Computing on x86- Based Multicore Desktops
- Presentation: A Synergetic Approach to Throughput Computing on Intel® Architecture
Chi-Keung (CK) Luk is a Senior Staff Engineer in a Software Pathfinding Group at Intel, where he conducts research and advanced development in parallel programming, compiler, and program-analysis tools. Previously, he worked on the Pin dynamic instrumentation system. CK obtained his Ph.D. from the University of Toronto and was a visiting scholar at Carnegie Mellon University. He has 30 publications and two issued patents with a few others pending. He received an Intel Achievement Award and a nomination for the ACM Doctoral Dissertation Award.