Understanding Multithreading vs. Multiprocessing in Data Science
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Questions and Answers

What is the purpose of the Global Interpreter Lock (GIL) in Python?

  • To synchronize access to shared resources between different processes
  • To prevent race conditions when multiple threads access shared memory
  • To ensure that only one thread executes Python bytecode at a time (correct)
  • To allow for parallel execution of CPU-bound tasks across multiple cores

Which of the following is an example of Inter-process communication (IPC)?

  • Multithreading
  • The Global Interpreter Lock
  • Shared memory (correct)
  • Recursion

What is a potential issue that can arise when multiple threads access shared memory without proper synchronization?

  • Segmentation fault
  • Memory leak
  • Race condition (correct)
  • Deadlock

If a CPU-bound task needs to be parallelized across multiple cores, which approach should be used in Python?

<p>Multiprocessing (D)</p> Signup and view all the answers

Which of the following is a common technique used for synchronizing access to shared resources between threads?

<p>All of the above (D)</p> Signup and view all the answers

What is the advantage of using multiprocessing over multithreading for CPU-bound tasks in Python?

<p>Multiprocessing can take advantage of multiple cores (D)</p> Signup and view all the answers

What is a potential drawback of using multiprocessing compared to multithreading in Python?

<p>Multiprocessing requires more memory overhead (C)</p> Signup and view all the answers

What is the purpose of using a mutex (mutual exclusion) in multithreaded programming?

<p>To ensure that only one thread can access a shared resource at a time (C)</p> Signup and view all the answers

Which of the following is a potential issue that can arise when using shared memory for inter-process communication?

<p>All of the above (D)</p> Signup and view all the answers

What is the purpose of using a semaphore in multithreaded programming?

<p>To control the number of threads that can access a shared resource simultaneously (C)</p> Signup and view all the answers

Flashcards

What is the purpose of the GIL in Python?

The Global Interpreter Lock prevents multiple threads from executing Python bytecode concurrently, ensuring that only one thread runs at a time.

What is an example of Inter-process communication (IPC)?

Inter-process communication (IPC) allows processes to interact and share data. A common example is shared memory, where processes can access the same memory space.

What is a potential issue with multiple threads accessing shared memory without synchronization?

A race condition occurs when multiple threads access shared memory simultaneously and modify its content, leading to unpredictable results.

Which approach should be used for parallelizing a CPU-bound task across multiple cores?

For CPU-bound tasks, multiprocessing is a powerful technique that leverages multiple CPU cores, allowing parallel execution of tasks.

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What are some common techniques for synchronizing access to shared resources between threads?

Common synchronization techniques like mutexes, semaphores, and condition variables are crucial for coordinating access to shared resources between threads.

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What is the advantage of using multiprocessing over multithreading for CPU-bound tasks in Python?

Multiprocessing allows truly parallel execution of tasks by creating separate processes, fully utilizing available cores. This is highly beneficial for CPU-bound tasks.

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What is a potential drawback of using multiprocessing compared to multithreading in Python?

Multiprocessing comes with the overhead of creating and managing separate processes, requiring more memory compared to multithreading.

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What is the purpose of a mutex (mutual exclusion) in multithreaded programming?

A mutex, or mutual exclusion, is a synchronization primitive ensuring that only one thread can access a shared resource at a time, preventing data corruption.

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What are potential issues when using shared memory for inter-process communication?

Using shared memory for inter-process communication can lead to issues like race conditions, deadlocks, and synchronization problems.

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What is the purpose of a semaphore in multithreaded programming?

A semaphore is used to control the maximum number of threads that can access a shared resource simultaneously. It acts as a counter limiting access.

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Study Notes

CPU, Cores, and Threads

  • A CPU (Central Processing Unit) executes instructions as a thread, which is the highest-level instruction in a CPU execution cycle.
  • A CPU core can execute one thread at a time, but it can switch between threads quickly, making it seem like multiple threads are running simultaneously.
  • A thread's state is written to main memory and its instructions are removed from the pipeline when it's not running, allowing another thread to start.

Threading and Multithreading

  • Threading is changing the attention of a CPU core between multiple threads.
  • A CPU core needs to figure out when to run which thread, even if a thread has no urgent reason to be executed (e.g., waiting for user input or data to be loaded).

Multicore and Multiprocessing

  • Multiple cores allow multiple threads to run simultaneously, increasing processing speed.
  • The introduction of dual cores in CPUs in 2000 by IBM and later by Sun and HP in 2004 marked a significant milestone.
  • The first dual-core chips for x86-based PCs and servers were introduced in 2005 by Intel and AMD.

Hyperthreading (SMT)

  • Simultaneous multithreading (SMT) allows a CPU to create a virtual core for each physical core, optimizing instructions and increasing processing speed by 15-30%.
  • SMT requires only 5% more die surface, making it a more efficient solution.

Importance of Threads

  • Every Python program has at least one thread.
  • Threads are useful in GUIs to prevent the main thread from hanging when performing computations.
  • Threads are also useful for I/O bound problems and parallelizing data processing on shared data.

Communication between Threads

  • Synchronizing threads is necessary to prevent memory access race conditions.
  • PyQt Signal/Slots is a way to communicate between threads.

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Learn about the differences between multithreading and multiprocessing and how they can help you parallelize your code in Data Science. Explore the concepts of CPU, cores, threads, clock rate, and instruction execution.

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