Introduction to Concurrent Programming with GPUs

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Course Overview

What You'll Learn

  • This course will help prepare students for developing code that can process large amounts of data in parallel.
  • It will focus on foundational aspects of concurrent programming, such as CPU/GPU architectures, multithreaded programming in C and Python, and an introduction to CUDA software/hardware.

This course will help prepare students for developing code that can process large amounts of data in parallel. It will focus on foundational aspects of concurrent programming, such as CPU/GPU architectures, multithreaded programming in C and Python, and an introduction to CUDA software/hardware.

Course FAQs

Is this an accredited online course?

Accreditation for 'Introduction to Concurrent Programming with GPUs' is determined by the provider, Johns Hopkins University. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.

Can this course be used for continuing education credits?

Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.

How do I enroll in this online school program?

To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Introduction to Concurrent Programming with GPUs' on the Johns Hopkins University online class platform, where you can complete your registration.