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GPU Programming

16.684 students enrolled TR Subtitles
This specialization is intended for data scientists and software developers to create software that uses commonly available hardware. Students will be introduced to CUDA and libraries that allow for performing numerous computations in parallel and rapidly. Applications for these skills are machine learning, image/audio signal processing, and data processing.
CERTIFICATEKatılım Sertifikası
FORMAT100% Online
DURATION2 ay

What you'll learn

  • C++ (Programming Language)
  • Python Programming
  • Hardware Architecture
  • Development Environment
  • Algorithms
  • Data Sharing
  • Data Access
  • Program Development
  • Programming Principles
  • C and C++
  • Computer Architecture
  • OS Process Management

Course Content

4 topics
  1. Kurs 1 Introduction to Concurrent Programming with GPUs
  2. Kurs 2 Introduction to Parallel Programming with CUDA
  3. Kurs 3 CUDA at Scale for the Enterprise
  4. Kurs 4 CUDA Advanced Libraries

Details

  • ProviderJohns Hopkins University
  • TypeCourse
  • CategorySoftware & Programming
  • LevelIntermediate
  • Duration2 ay
  • LanguageEnglish

Öğrenenlerimiz ne diyor?

Türkiye'nin yüz akı üniversitelerince hazırlanan; akademik doyuruculuğa sahip eğitim içeriklerinin, etkileşimli videolarla bir araya getirildiği bir üniversiteden eğitim almak istiyorsanız doğru yerdesiniz.
Ramazan Bölükbaşı
Çok yoğun programı olan öğrenciler için büyük bir fırsat. Bir şeylerin gelişmesi değişmesi için çabalamalıyız.
Melis Gülsar
Hızlı desteği ve üst düzey hizmeti ile Campus Online ve Sosyal Medya Sertifika Programı hizmeti sağlayan Adnan Menderes Üniversitesine sonsuz teşekkürlerimi sunuyorum.
Nazif Bayram

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