Difference between revisions of "GPU621/Intel Parallel Studio VTune Amplifier"
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== Intel Parallel Studio VTune Profiler == | == Intel Parallel Studio VTune Profiler == | ||
| + | The purpose of this page is to demonstrate the purpose, features, and applications of the Intel Parallel Studio VTune Profiler. In short, it is a performance analyzing application for 32-bit, 64-bit, and x86 architectures running Linux-based or Microsoft Windows operating systems. It supports both Intel and AMD hardware, but advanced hardware-based features and acceleration require an Intel-manufactured CPU. The application provides tools to optimize application and system performance, | ||
| + | High-performance computing configurations, and more by detecting performance bottlenecks through key data profiling on serial and multi-threaded software. | ||
| + | |||
| + | == Features & Functionalities == | ||
== Sources == | == Sources == | ||
# [https://software.intel.com/content/www/us/en/develop/tools/vtune-profiler.html Intel VTune Profile] | # [https://software.intel.com/content/www/us/en/develop/tools/vtune-profiler.html Intel VTune Profile] | ||
# [https://software.intel.com/content/www/us/en/develop/documentation/vtune-help/top/launch/getting-started.html Installation and Features] | # [https://software.intel.com/content/www/us/en/develop/documentation/vtune-help/top/launch/getting-started.html Installation and Features] | ||
Revision as of 10:03, 8 December 2021
Contents
Group Members
Intel Parallel Studio VTune Profiler
The purpose of this page is to demonstrate the purpose, features, and applications of the Intel Parallel Studio VTune Profiler. In short, it is a performance analyzing application for 32-bit, 64-bit, and x86 architectures running Linux-based or Microsoft Windows operating systems. It supports both Intel and AMD hardware, but advanced hardware-based features and acceleration require an Intel-manufactured CPU. The application provides tools to optimize application and system performance, High-performance computing configurations, and more by detecting performance bottlenecks through key data profiling on serial and multi-threaded software.
