Back

Introduction to Parallel Computing with OpenCL Programs on FPGAs (OOPNCL100)

 

The learning path for the Introduction to Parallel Computing with OpenCL on FPGAs course begins with foundational concepts in parallel computing, followed by a thorough introduction to the OpenCL programming model, including platforms, devices, and kernel development. Learners then explore FPGA architecture and how OpenCL code is mapped and synthesized into hardware logic. The course emphasizes performance tuning, debugging, and optimization techniques specific to FPGA-based systems. Finally, real-world applications and case studies are presented to showcase how OpenCL and FPGAs are effectively used in industries such as AI, scientific computing, and embedded systems, offering a complete journey from basic understanding to practical implementation.

View training options
Talk to our advisor
Register Now
Group Enrollment

Why Join this Program

  • Hands-On Learning with Industry-Relevant Tools
    Gain practical experience using OpenCL to develop parallel applications on FPGA platforms, a valuable skill in high-performance and embedded computing fields.

  • Bridge the Gap Between Software and Hardware
    Learn how to translate high-level code into efficient hardware logic, helping you work across both hardware and software domains.

  • Career Advancement in Emerging Tech
    Equip yourself with in-demand skills that open doors to careers in FPGA development, parallel computing, and hardware acceleration.

  • Flexible and Customizable Training Options
    Benefit from personalized training formats—virtual, onsite, or one-on-one—designed to fit your learning style and schedule.

Corporate Training

For group registrations of greater than 10 or more candidates,
please write to training@certfirst.com
or check and fill up the following online Group Training Quote/ Form Below

Contact Us

Program Overview

The “Introduction to Parallel Computing with OpenCL Programs on FPGAs (OOPNCL100)” course by CertFirst offers a foundational understanding of parallel computing through the use of OpenCL on FPGA platforms. The program introduces learners to the OpenCL programming standard, which is widely used for writing programs that execute across heterogeneous platforms such as CPUs, GPUs, and FPGAs. Participants will explore how OpenCL enables high-level parallelism and how its constructs are synthesized into custom hardware logic when targeting FPGAs. The course also emphasizes the benefits of using Intel® FPGAs with OpenCL, offering a flexible and powerful approach to acceleration in compute-intensive applications.

Designed for learners at all levels, this course includes five lecture sessions totaling approximately 40 hours of instruction, delivered in English. Although regular classroom or virtual sessions are not currently scheduled, CertFirst provides flexible, customized training options, including group training (onsite or virtual) and one-on-one mentoring formats. The program is ideal for developers, engineers, and students looking to build a strong foundation in parallel computing and FPGA-based acceleration without requiring prior experience.

Key Features

  • ✅ Beginner-Friendly
    No prior experience required—suitable for learners at all levels.

  • ✅ Focus on OpenCL & FPGA Integration
    Learn how OpenCL constructs are mapped and synthesized into FPGA hardware logic.

  • ✅ Hands-On Parallel Computing Concepts
    Gain practical skills in writing and optimizing parallel programs for heterogeneous platforms.

  • ✅ Intel® FPGA Acceleration
    Explore the benefits and performance advantages of running OpenCL programs on Intel® FPGAs.

  • ✅ Flexible Training Options
    Customized delivery formats including virtual live sessions, onsite training, and one-on-one mentoring.

  • ✅ Comprehensive Duration
    5 in-depth lectures totaling approximately 40 hours of content.

  • ✅ Language of Instruction
    Course delivered in English to support global accessibility.

Register Now

Learning Path

  • Foundations of Parallel Computing
    Start with the basic concepts of parallel computing, including key definitions, architectures, and the importance of concurrency in modern computing.

  • Introduction to OpenCL
    Learn the structure and components of OpenCL, including platforms, devices, kernels, memory models, and execution environments.

  • OpenCL Programming Techniques
    Dive into writing and optimizing OpenCL code, focusing on kernel development, memory management, and device interaction.

  • FPGA Architecture Basics
    Understand FPGA architecture and how it differs from traditional CPUs and GPUs, with a focus on parallel processing capabilities.

  • Mapping OpenCL to FPGAs
    Learn how OpenCL kernels are synthesized into FPGA hardware logic and how to optimize them for performance and efficiency.

  • Performance Tuning & Debugging
    Explore techniques to analyze, debug, and enhance the performance of OpenCL applications on FPGAs.

  • Real-World Applications & Use Cases
    Review case studies and practical examples that show how OpenCL and FPGAs are used in fields like signal processing, AI, and scientific computing.

What Skills Will You Learn?

  • OpenCL Programming Fundamentals
    Understand the syntax, structure, and workflow of writing programs using the OpenCL standard.

  • Parallel Computing Concepts
    Learn the core principles of parallel computing, including task parallelism and data parallelism.

  • FPGA Hardware Acceleration
    Discover how OpenCL kernels are mapped to FPGA logic and how to optimize performance on FPGA devices.

  • Kernel Design & Optimization
    Develop and refine OpenCL kernels for efficient execution in a hardware-accelerated environment.

  • Heterogeneous System Integration
    Gain hands-on experience in programming for systems that combine CPUs, GPUs, and FPGAs.

  • Application Performance Tuning
    Learn techniques to monitor, analyze, and improve the performance of parallel applications on FPGAs.

Register Now

Jobs You Can Land with this  Certification:

  • FPGA Developer
    Design and implement logic for FPGAs using OpenCL and hardware description languages.

  • Parallel Computing Engineer
    Develop high-performance applications leveraging parallel processing on CPUs, GPUs, and FPGAs.

  • Embedded Systems Engineer
    Work on real-time embedded systems that require efficient hardware acceleration.

  • OpenCL Programmer
    Create and optimize cross-platform parallel applications using the OpenCL standard.

  • High-Performance Computing (HPC) Specialist
    Build and maintain systems optimized for scientific and data-intensive computing using FPGA accelerators.

  • Hardware Acceleration Specialist
    Integrate and tune hardware acceleration features in applications for speed and efficiency improvements.

Register Now

Exam Details

Exam Details – Introduction to Parallel Computing with OpenCL on FPGAs (OOPNCL100)

  • Exam Type: Multiple-choice and scenario-based questions

  • Duration: 90 minutes

  • Number of Questions: Approximately 40–50

  • Passing Score: 70% (may vary depending on the provider’s criteria)

  • Delivery Method: Online proctored exam or in-person (based on training format)

  • Language: English

Related Programs