GPU Programming

Completed by Shubham Attri

June 19, 2024

Approximately 2 months at 10 hours a week to complete

Course Certificates Completed

Introduction to Concurrent Programming with GPUs

Introduction to Parallel Programming with CUDA

CUDA at Scale for the Enterprise

CUDA Advanced Libraries

GPU Programming

Johns Hopkins University
View certificate for Shubham Attri, GPU Programming, offered through Coursera. 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.

Course Certificates

Earned after completing each course in the Specialization

Introduction to Concurrent Programming with GPUs

Johns Hopkins University

Taught by: Chancellor Thomas Pascale

Completed by: Shubham Attri by June 2, 2024

5 weeks of study, 3-5 hours/week

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Introduction to Parallel Programming with CUDA

Johns Hopkins University

Taught by: Chancellor Thomas Pascale

Completed by: Shubham Attri by June 3, 2024

4-5 weeks of study, 4-8 hours/week

View this certificate

CUDA at Scale for the Enterprise

Johns Hopkins University

Taught by: Chancellor Thomas Pascale

Completed by: Shubham Attri by June 19, 2024

4-5 weeks of study, 4-8 hours/week

View this certificate

CUDA Advanced Libraries

Johns Hopkins University

Taught by: Chancellor Thomas Pascale

Completed by: Shubham Attri by June 18, 2024

4, 4-8 hours/week

View this certificate