This is the Linux app named Scalene whose latest release can be downloaded as Maintenancerelease,fixesGPUmemoryreporting.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Scalene
DESCRIPTION
Scalene is a high-performance CPU, GPU and memory profiler for Python that does a number of things that other Python profilers do not and cannot do. It runs orders of magnitude faster than other profilers while delivering far more detailed information. Once Scalene has profiled your program, it will launch a web browser with an interactive user interface (all processing is done locally). Hover over bars to see breakdowns of CPU and memory consumption, and click on underlined column headers to sort the columns. Scalene is fast. It uses sampling instead of instrumentation or relying on Python's tracing facilities. Its overhead is typically no more than 10-20% (and often less). Scalene performs profiling at the line level and per function, pointing to the functions and the specific lines of code responsible for the execution time in your program. Scalene separates out the percentage of memory consumed by Python code vs. native code.
Features
- Scalene has a new web-based GUI
- Scalene separates out time spent in Python from time in native code
- Scalene highlights hotspots
- Scalene also separates out system time, making it easy to find I/O bottlenecks
- Scalene reports GPU time (currently limited to NVIDIA-based systems)
- Scalene profiles memory usage
Programming Language
JavaScript
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/scalene.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
