It can profile into Julia's core code and even (optionally) into C and Fortran libraries. By running "infrequently" there is very little performance overhead; while profiling, your code can run at nearly native speed.
Julia comes with it's own sampling profiler to measure the CPU time spent in functions or the number and size of allocations. There are various packages to visualize these profile traces.
NOTE: Jupyter/IJulia and SVG support has migrated to the ProfileSVG package. This package contains tools for visualizing and interacting with profiling data collected with Julia's built-in sampling profiler.
profile.jl — A simple profiler for Julia — Julia Language development ...
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There are two main approaches to CPU profiling julia code: Where profiling is enabled for a given call via the @profile macro.
This blog post will take you on a journey through the fundamental concepts, usage methods, common practices, and best practices of the Julia Profile Standard Library.
In this Julia for Devs post,we will discussusing Julia’s Profile standard library for performance and allocation profiling.We will illustrate these toolswith example codeand then show how to improve the code.
STARR IS THE GLOBAL MARKETING NAME FOR THE INVESTMENT BUSINESS OF C. V. STARR & CO., INC. AND THE INSURANCE AND TRAVEL ASSISTANCE COMPANIES OF STARR INTERNATIONAL COMPANY, INC., AND THEIR SUBSIDIARIES.
Starr[1] is a marketing name for the operating insurance and travel assistance companies and subsidiaries of Starr International Company, Inc. and for the investment business of C. V. Starr & Co., Inc. and its subsidiaries.