Memory Profiling - Learn Data Science with Travis

Memory-Profiling

Memory profiling is a crucial technique used in software development to analyze and optimize the memory usage of applications. It involves monitoring how much memory an application consumes during its execution, identifying patterns such as memory leaks, unwanted memory allocations, and peak memory usage. By understanding these patterns, developers can enhance the performance and robustness of their applications. Various tools and libraries, such as memory-profiler in Python and pprof in Go, facilitate this process by providing insights into memory allocation and usage, enabling developers to make informed decisions for optimization and resource management.

RAM and VRAM Profiling in Python

Better Programming

Efficiently monitor RAM and GPU VRAM simultaneously with a single powerful function decorator. Photo by John Cameron on Unsplash 1\. Why profile memory usage? Introduction While the specific motivati...

Profiling in Go

Better Programming

A brief guide to explain your app’s connection with your CPU or memory Photo by Kai Dahms on Unsplash What Is Profiling, and Why Is It Useful? Have you ever wanted to dig deeper for explanations as t...

Using a Memory Profiler in Python & What It Can Teach You | Real Python Podcast #128

Real Python

Have you used a memory profiler to gauge the performance of your Python application? Maybe you're using it to troubleshoot memory issues when loading a large data science project. What could running a...

Memory Debugging — a Deep Level of Insight

Javarevisited

When I mention memory debugging the first thing that comes to the minds of many developers is the profiler. That isn’t wrong but it’s still a partial picture. Profilers are amazing at mapping that “bi...

Profiling

Software Architecture with C plus plus

While benchmarks and tracing can give you an overview and specific numbers for a given scope, profilers can help you analyze where those numbers came from. They are an essential tool if you need to ga...

Continuous Profiling for Python Applications

Level Up Coding

In computer programming, the meaning of “profiling” is “finding and optimizing those resources that can decrease the response time, cache time, interruptions, and usage of individual instructions in…

Chapter 27 - Code Profiling

Python 101

Code profiling is an attempt to find bottlenecks in your code. Profiling is supposed to find what parts of your code take the longest. Once you know that, then you can look at those pieces of your co...

-XXcallProfiling

Essential Java

This option enables the use of call profiling for code optimizations. Profiling records useful runtime statistics specific to the application and can—in many cases—increase performance because JVM can...

Memory Management

Codecademy

Memory management , or memory allocation, is the process by which computer programs are assigned to physical or virtual memory space. Computer memory is a finite resource that must be efficiently mana...

Choosing the type of profiler to use

Software Architecture with C plus plus

There are two types of profilers available: instrumentation profilers and sampling ones. One of the better-known instrumentation profilers is Callgrind, part of the Valgrind suite. Instrumentation pro...

Profiling Theano function

Theano Tutorial

Profiling Theano function Note This method replace the old ProfileMode. Do not use ProfileMode anymore. Besides checking for errors, another important task is to profile your code in terms of speed a...