#pthread

[lavendertowerarchives]

i think its hilarious how much of a hold FORTRAN still has on coding today. like yeah some legacy systems are never updated cuz IT support is "unaffordable" or some shit but thats not what i mean.

a lot of interfaces and standardizations are based off having backwards compatibility, and were created when FORTRAN was aging out, so C and C++ were polite as fuck and said "yknow what we'll play by your rules for a lil"

so now C style languages are the standard for lower-level languages and FORTRAN and Pascal and BASIC and shit are dead but MPI still fucks everything up by pretending people still use it on old systems. like i know its just an interface but hell let me not pass by reference for once. c std lib? pass by reference. MPI? pass by reference. pthread library? pass by my middle finger on the way to your reference. FORTRAN is dead and buried but we still play by its rules because it couldnt fucking return a value. eat my entire ass please

[themainspoon]

The chatgpt shit is rampant in uni. A friend of mine is studying to be a highschool teacher and they were required to talk about the pros of generative AI use in the classroom, also including writing emails to parents using it.

I'm in compsci and I have had professors recommend sourcing code from it (ridiculous bc the stuff we are learning is heavily documented online for free) and I've had my peers use it to look up coding vocab.

Oh and that time a guy did his part of a program written w/ openmp when we were supposed to be using pthreads (different methods of multiprogramming) when we hadn't learned openmp at all.

A family member of mine works for a company that does government work and they were talking about sourcing code from generative AIs. It is BAD out there. :(

Luckily this is the first time I've seen it. But I've had people say shit to me like "oh, you should try using it to summarise your readings so you don't have to read them :)" IT'S A PATTERN RECOGNITION MACHINE! IT HAS NO READING COMPREHENSION!!!

[0x4468c7a6a728]

trick or treat!!!!

pthreads

[hob28]

Advanced C Programming: Mastering the Language

Introduction

Advanced C programming is essential for developers looking to deepen their understanding of the language and tackle complex programming challenges. While the basics of C provide a solid foundation, mastering advanced concepts can significantly enhance your ability to write efficient, high-performance code.

1. Overview of Advanced C Programming

Advanced C programming builds on the fundamentals, introducing concepts that enhance efficiency, performance, and code organization. This stage of learning empowers programmers to write more sophisticated applications and prepares them for roles that demand a high level of proficiency in C.

2. Pointers and Memory Management

Mastering pointers and dynamic memory management is crucial for advanced C programming, as they allow for efficient use of resources. Pointers enable direct access to memory locations, which is essential for tasks such as dynamic array allocation and manipulating data structures. Understanding how to allocate, reallocate, and free memory using functions like malloc, calloc, realloc, and free can help avoid memory leaks and ensure optimal resource management.

3. Data Structures in C

Understanding advanced data structures, such as linked lists, trees, and hash tables, is key to optimizing algorithms and managing data effectively. These structures allow developers to store and manipulate data in ways that improve performance and scalability. For example, linked lists provide flexibility in data storage, while binary trees enable efficient searching and sorting operations.

4. File Handling Techniques

Advanced file handling techniques enable developers to manipulate data efficiently, allowing for the creation of robust applications that interact with the file system. Mastering functions like fopen, fread, fwrite, and fclose helps you read from and write to files, handle binary data, and manage different file modes. Understanding error handling during file operations is also critical for building resilient applications.

5. Multithreading and Concurrency

Implementing multithreading and managing concurrency are essential skills for developing high-performance applications in C. Utilizing libraries such as POSIX threads (pthreads) allows you to create and manage multiple threads within a single process. This capability can significantly enhance the performance of I/O-bound or CPU-bound applications by enabling parallel processing.

6. Advanced C Standard Library Functions

Leveraging advanced functions from the C Standard Library can simplify complex tasks and improve code efficiency. Functions for string manipulation, mathematical computations, and memory management are just a few examples. Familiarizing yourself with these functions not only saves time but also helps you write cleaner, more efficient code.

7. Debugging and Optimization Techniques

Effective debugging and optimization techniques are critical for refining code and enhancing performance in advanced C programming. Tools like GDB (GNU Debugger) help track down bugs and analyze program behavior. Additionally, understanding compiler optimizations and using profiling tools can identify bottlenecks in your code, leading to improved performance.

8. Best Practices in Advanced C Programming

Following best practices in coding and project organization helps maintain readability and manageability of complex C programs. This includes using consistent naming conventions, modularizing code through functions and header files, and documenting your code thoroughly. Such practices not only make your code easier to understand but also facilitate collaboration with other developers.

9. Conclusion

By exploring advanced C programming concepts, developers can elevate their skills and create more efficient, powerful, and scalable applications. Mastering these topics not only enhances your technical capabilities but also opens doors to advanced roles in software development, systems programming, and beyond. Embrace the challenge of advanced C programming, and take your coding skills to new heights!

[codingprolab]

ECE-3574: Applied Software Engineering Homework 6

Write a multi-threaded console application to perform [M×N] × [N×P] matrix multiplication to produce an [M×P] matrix using POSIX threads (pthreads). The program’s name should be “matrix-multiply”. Specifications 1. You must create threads using the POSIX pthreads APIs. 2. You must perform matrix multiplication on two input matrices [A] x [B]. For example: Let A be a [3×2] matrix: Let B be [2×3]…

[souhaillaghchimdev]

Parallel Programming Fundamentals

As computing power advances, developers are looking for ways to make applications faster and more efficient. One powerful approach is parallel programming, which allows programs to perform multiple tasks simultaneously, significantly reducing execution time for complex operations.

What is Parallel Programming?

Parallel programming is a programming model that divides a task into smaller sub-tasks and executes them concurrently using multiple processors or cores. This differs from sequential programming, where tasks are executed one after the other.

Key Concepts

Concurrency: Multiple tasks make progress over time (may or may not run simultaneously).

Parallelism: Tasks are executed truly simultaneously on multiple cores or processors.

Threads and Processes: Units of execution that can run independently.

Synchronization: Ensuring data consistency when multiple threads access shared resources.

Race Conditions: Unintended behavior caused by unsynchronized access to shared data.

Languages and Tools

Python: multiprocessing, threading, concurrent.futures

C/C++: POSIX threads (pthreads), OpenMP, CUDA for GPU parallelism

Java: Threads, ExecutorService, Fork/Join Framework

Go: Built-in goroutines and channels for lightweight concurrency

Simple Example in Python

import concurrent.futures import time def worker(n): time.sleep(1) return n * n with concurrent.futures.ThreadPoolExecutor() as executor: results = executor.map(worker, range(5)) for result in results: print(result)

Types of Parallelism

Data Parallelism: Splitting data into chunks and processing in parallel.

Task Parallelism: Different tasks running concurrently on separate threads.

Pipeline Parallelism: Tasks divided into stages processed in sequence but concurrently.

Benefits of Parallel Programming

Faster execution of large-scale computations

Better CPU utilization

Improved application performance and responsiveness

Challenges to Consider

Complex debugging and testing

Race conditions and deadlocks

Overhead of synchronization

Scalability limitations due to hardware or software constraints

Real-World Use Cases

Scientific simulations

Image and video processing

Machine learning model training

Financial data analysis

Gaming engines and real-time applications

Conclusion

Parallel programming is a game-changer for performance-critical software. While it introduces complexity, mastering its principles opens the door to high-speed, scalable applications. Start small with basic threading, then explore distributed and GPU computing to unlock its full potential.

[ankitcodinghub]

CS3210 - Lab 1 Solved

Processes, Threads and Synchronization Basics Learning Outcomes 1. Understand the differences between processes and threads 2. Use the POSIX thread (pthread) library for shared-memory parallel programming 3. Implement critical sections in the code 4. Apply basic synchronization constructs in programs 5. Start to become familiar with our lab machines You can obtain 2% of your grade in CS3210 by…

[programmingandengineering]

Building a Multi-Threaded Web Server in C Using POSIX Threads

1Overview The purpose of this lab is to construct a multithreaded web server using POSIX threads (pthreads) in C to learn about thread programming and synchronization methods. Your web server will be able to handle any type of file: HTML, GIF, JPEG, TXT, etc. It will handle a limited portion of the HTTP web protocol (namely, the GET command to fetch a web page). We will provide pieces of code…

[thesafewaystobereckless]

i have made the most inefficient use of the pthread library C has every seen

[myprogrammingsolver]

CS 2200 Systems and Networking Project 4 - Process Scheduling & Threading

Project 4: Process Scheduling Simulation Overview In this project, you will implement a multiprocessor operating system simulator using a popular threading library for Linux called pthreads. The framework for the multiprocessor OS simulator is nearly complete, but missing one critical component: the process scheduler! Your task is to implement the process scheduler and three different…

[codeshive]

CS 502/CS 3013 Operating Systems Project 2 solved

Introduction The use of threads allows for easy sharing of resources within a process with mechanisms such as mutex locks and semaphores for coordinating the actions of threads within a process. In this project you will use these facilities to build a message passing mechanism that can be used among a set of threads within the same process. You will use the facilities of the pthreads library…

[machine-unlearning]

This valentine's day, remember to use a pthreads barrier during parallel execution. It's totally normal for one to finish unexpectedly early, and without protection that can lead to serious consequences

[digitalthinkerhelp]

Thread Libraries in OS: Pthread, Win32, Java & More {Easy Guide}

Hello Friends! Today, from this article we are going to explain about thread libraries in OS (Operating System) in detail with ease. At the end of this article, you will get to know completely Thread Libraries in Operating System without getting any hassle.

[mckat]

@andrewsterling​​ — ( flashback to 2016. )

“That was another good song you just skipped,” Kat pointed out, lifting her hand to cross a tally in the air. Leaving it to hover there as the sunlight radiated against her palm, she felt Andrew laugh, her head bobbing softly with every inhale and exhale of breath. She favored moments like this, her head on his chest as they lay on an old blanket in the field behind her Pops' farm. It could hardly be called that now, the whole place was a sad comparison to what it used to be.

None of that mattered to her right now though, the air was warm and she was with the boy she loved—  Kat should have felt content. And yet she couldn't seem to shut off her mind, block out those nagging thoughts that were prying to the surface. Something didn't sit right with her, even after she had ruled it under overthinking on her end. She had never been one to hold back what she was thinking and it bothered her to do so now, even if she was wary of what addressing it was insue. But this was Andrew, he knew all her quirks and flaws and accepted her for them anyway. Loved her for them, even.

There it was again, that uncomfortable knotting in her stomach that made her physically switch her positions to try and shake the feeling from her. Now she was on her side, giving her the perfect angle to get a full view of his face. “Are you skippin' songs until you get to the one you really want to listen to instead of just puttin' it on?” A smile crept on to her lips then, accompanied with a playful roll of her eyes.

No, she was definitely overthinking it, Kat decided to herself. She told him she loved him, he had kissed her the same way he always did and nothing had changed. She repeated that over and over in her mind, willing herself to believe it. “Andrew,” she began, searching for his eyes. “What I said before, that I love you— you know I meant it, right?”

[codingprolab]

CS3103 Programming Assignment 2 P2: A Simulator for FIFO Queue

Goals 5 This assignment is designed to help you: 6 1. get familiar with multi-threaded programming with Pthread. 7 2. get familiar with critical section with Pthread mutex. 8 You are required to implement your solution in C++ (other languages are not allowed). Your 9 work will be tested on the Linux server cs3103-01.cs.cityu.edu.hk. 10 11 A good tutorial on pthread could be found at…

[pentesttoolz]

0D1N v3.4 - Automating Customized Attacks Against Web Applications

0D1N v3.4 - Automating Customized Attacks Against Web Applications #0d1n #Applications #Attacks #Automating

0d1n is a tool for automating customized attacks against web applications. This tool is very faster because uses thread pool and C language.       0d1n is a tool for automating customized attacks against web applications. Video demo:   Tool functions: Brute force login and passwords in auth forms Directory disclosure ( use PATH list to brute, and find HTTP status code ) Test to find SQL…