A Performance Analysis of Python* Applications with Intel® VTune™ Amplifier

Overview

Efficient profiling techniques can help dramatically improving the performance of your Python* code by detecting time, CPU, and memory bottlenecks. This session discusses the need, advantages, and common tools and techniques for profiling Python applications, followed by a demo of Intel® VTune Amplifier and its capabilities to profile both pure Python code and code heavily relying on C extensions.

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Product and Performance Information

1

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804