Multicore Programming Courses and Certifications

Multicore Programming Primer

The course serves as an introductory course in parallel programming. It offers a series of lectures on parallel programming concepts as well as a group project providing hands-on experience with parallel programming.

• MIT OpenCourseWare
• 20 hours
• Self-Paced
• Free Video

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Multicore and GPGPU Programming

Master parallel programming with multicore CPUs and GPUs, covering CUDA, Pthreads, MPI, and OpenMP to build high-performance, multi-threaded applications for modern computing architectures.

• Coursera
• 3 days 3 hours 9 minutes
• Self-Paced
• Paid Course

Parallel Programming in Java

1239 ratings at Coursera

Learn fundamental concepts of parallel programming in Java 8, including task parallelism, functional parallelism, loop parallelism, and dataflow synchronization. Gain hands-on experience with popular frameworks like ForkJoin and Stream.

• Coursera
• 19 hours 25 minutes
• Self-Paced
• Paid Course

CppNow

Boost.Compute - A Library for GPU - Parallel Computing

Explore Boost.Compute, a high-level API for GPU/parallel computing. Learn to write efficient C++ applications for GPUs, FPGAs, and multi-core CPUs using this portable, STL-like library.

• YouTube
• 41 minutes
• Self-Paced
• Conference Talk

CppCon

Parallelism Safety-Critical Guidelines for C++

Explore parallelism safety guidelines for C++, covering challenges in multicore architectures and potential issues with newer features. Gain insights into future rules for safety-critical software development.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Paul McWhorter

Ultimate GPS Tracker Project - Parse GPS NMEA Sentences Using the Pi Pico W - Project 8

Master dual-core GPS data processing on Raspberry Pi Pico W by parsing NMEA sentences while preventing UART buffer overflow for accurate location tracking.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Meeting Cpp

C++ Standard Parallelism - Portable Parallel Programming Across Platforms

Explore C++ Standard Parallelism: write portable parallel code for diverse hardware platforms. Learn about common algorithms, custom algorithm creation, and task graph composition.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

linux.conf.au

What C and C++ Can Do and When Do You Need Assembly

Explore compiler optimizations, hardware extensions, and Assembly language to achieve maximum code efficiency beyond standard C and C++ capabilities.

• YouTube
• 46 minutes
• Self-Paced
• Conference Talk

EuroPython Conference

IoTPy - Python + Streams + Agents for Streaming Applications

Explore IoTPy for building concurrent, non-terminating streaming applications in Python, leveraging existing libraries for data analysis and distributed systems.

• YouTube
• 27 minutes
• Self-Paced
• Conference Talk

GeeCON Conference

Why the Next Five Years Will Be About Languages

Explore the upcoming renaissance in programming languages driven by multi-core CPUs, language-agnostic VMs, and dynamic typing, and learn how to position yourself at the forefront of this innovation wave.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

DPDK Project

Extending For_each_lcore for Hardware Topology LCORE - Achieving Higher Performance

Discover how to optimize processor performance through topology-aware LCORE listing, focusing on pkt-distributor, event-dev and pipeline libraries for enhanced payload processing.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

ACM SIGPLAN

A Tale of Shared Memory Concurrency in Programming Languages

Explore shared memory concurrency in programming languages, examining challenges, recent advancements, and future directions for designing effective concurrency models for multicore systems.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

ACM SIGPLAN

Building a Lock-Free STM for OCaml - OCaML'23

Explore lock-free software transactional memory in OCaml with kcas library. Learn about composable transactions, modular blocking, and lock-free data structures for efficient concurrent programming.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Paul McWhorter

Ultimate GPS Tracker Project - Getting Altitude from GPS NMEA Sentences - Project 11

Master GPS altitude extraction from NMEA sentences using Raspberry Pi Pico W dual-core processing, OLED display integration, and toggle button navigation for comprehensive location data.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

Paul McWhorter

Ultimate GPS Tracker Project - Accurate Time and Date from GPS - Project 10 Supplemental

Master GPS time and date extraction from NMEA sentences using Raspberry Pi Pico W dual-core processing, converting UTC to local time for OLED display integration.

• YouTube
• 17 minutes
• Self-Paced
• Free Video