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Nikhil Venkatesh
and
Dennis Ejorh
OpenCL™ is a standard for writing parallel programs for heterogeneous systems, much like the NVidia* CUDA* programming language. In the FPGA environment, OpenCL constructs are synthesized into custom logic. An overview of the OpenCL standards will be...
Read more
OpenCL™ is a standard for writing parallel programs for heterogeneous systems, much like the NVidia* CUDA* programming language. In the FPGA environment, OpenCL constructs are synthesized into custom logic. An overview of the OpenCL standards will be...
Read more
OpenCL™ is a standard for writing parallel programs for heterogeneous systems, much like the NVidia* CUDA* programming language. In the FPGA environment, OpenCL constructs are synthesized into custom logic. An overview of the OpenCL standards will be discussed. You will learn about the platform, execution, memory, and programming models that define the OpenCL specification. Syntax of the OpenCL language will be discussed, and you will see examples of OpenCL usage. The similarities and differences between OpenCL and CUDA will be highlighted throughout. The advantages of using the Intel® FPGA OpenCL solution will be presented.*OpenCL and the OpenCL logo are trademarks of Apple Inc. used by permission of Khronos*Other names and brands may be claimed as the property of others
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Useful for those with FPGA development experience
Taught by industry leaders, Nikhil Venkatesh and Dennis Ejorh
Core concepts in parallel programming using OpenCL
Helpful for those looking to understand the OpenCL specification
Provides insights into OpenCL usage through examples
Examines similarities and differences between OpenCL and CUDA
Assumes familiarity with FPGA development
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Reviews summary
Opencl on fpga introduction
This course provides an overview of OpenCL and its application on FPGAs. It covers the basics of OpenCL and its advantages. While feedback indicates the course is informative and well-structured, there are concerns about the quality of the presentation and lack of hands-on practice. Reviewers also suggest providing more detailed video demonstrations.
Basic introduction to OpenCL and FPGAs
"Good Introductory course with labs"
Limited practical exercises and hands-on practice
"Lack of clarity and hands-on practice"
Mixed presentation quality
"Extremely poor and unnerving presentation ..."
"The Quality of the lectures is not up to the mark ..."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Introduction to OpenCL on FPGAs with these
activities:
Introduction to OpenCL
Show steps
Refresh knowledge of the foundational concepts of OpenCL including platform, execution, memory, and programming models.
Browse courses on
FPGA
Show steps
-
Review the OpenCL standards.
-
Understand the syntax of the OpenCL language.
OpenCL Tutorial
Show steps
Follow a guided tutorial to gain hands-on understanding of OpenCL programming and syntax.
Show steps
-
Find a suitable OpenCL tutorial.
-
Follow the steps and code along with the tutorial.
-
Experiment with different code examples.
OpenCL Practice Exercises
Show steps
Solve practice exercises to reinforce understanding of OpenCL concepts and coding techniques.
Show steps
-
Find a set of OpenCL practice exercises.
-
Attempt to solve the exercises on your own.
-
Check your solutions against provided answers.
Two other activities
Expand to see all activities and additional details
Show all five activities
Small OpenCL Project
Show steps
Start a small project to apply OpenCL knowledge and skills, such as writing a simple image processing or matrix computation program.
Show steps
-
Define the scope and goals of your project.
-
Design and implement the OpenCL code.
-
Test and debug your program.
OpenCL Competition
Show steps
Participate in an OpenCL competition to test your skills against others and gain recognition for your achievements.
Show steps
-
Find a suitable OpenCL competition.
-
Prepare and submit your entry.
-
Receive feedback and improve your skills.
Introduction to OpenCL
Show steps
Refresh knowledge of the foundational concepts of OpenCL including platform, execution, memory, and programming models.
Browse courses on
FPGA
Show steps
Show steps
Show steps
- Review the OpenCL standards.
- Understand the syntax of the OpenCL language.
OpenCL Tutorial
Show steps
Follow a guided tutorial to gain hands-on understanding of OpenCL programming and syntax.
Show steps
Show steps
Show steps
- Find a suitable OpenCL tutorial.
- Follow the steps and code along with the tutorial.
- Experiment with different code examples.
OpenCL Practice Exercises
Show steps
Solve practice exercises to reinforce understanding of OpenCL concepts and coding techniques.
Show steps
Show steps
Show steps
- Find a set of OpenCL practice exercises.
- Attempt to solve the exercises on your own.
- Check your solutions against provided answers.
Two other activities
Expand to see all activities and additional details
Show all five activities
Small OpenCL Project
Show steps
Start a small project to apply OpenCL knowledge and skills, such as writing a simple image processing or matrix computation program.
Show steps
Show steps
Show steps
- Define the scope and goals of your project.
- Design and implement the OpenCL code.
- Test and debug your program.
OpenCL Competition
Show steps
Participate in an OpenCL competition to test your skills against others and gain recognition for your achievements.
Show steps
Show steps
Show steps
- Find a suitable OpenCL competition.
- Prepare and submit your entry.
- Receive feedback and improve your skills.
Career center
Learners who complete Introduction to OpenCL on FPGAs will develop knowledge and skills
that may be useful to these careers:
FPGA Engineer
FPGA Engineer
FPGA Engineers design and develop hardware using Field-Programmable Gate Arrays (FPGAs). They use hardware description languages (HDLs) to create digital circuits that can be implemented on FPGAs. The OpenCL on FPGAs course provides a comprehensive introduction to OpenCL, a parallel programming language specifically designed for FPGAs. It can help FPGA Engineers accelerate their development process and improve the performance of their designs.
Computational Scientist
Computational Scientist
Computational Scientists develop and apply computational models and simulations to solve complex scientific problems. They use high-performance computing resources to analyze and interpret data, and to make predictions about future events. The OpenCL on FPGAs course can help Computational Scientists accelerate their simulations and improve the accuracy of their models by leveraging the parallel processing capabilities of FPGAs.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and deploy machine learning models to solve real-world problems. They work with various programming languages and machine learning algorithms to create models that can learn from data and make predictions. The OpenCL on FPGAs course can provide Machine Learning Engineers with a deeper understanding of parallel programming and hardware acceleration techniques, which can be valuable in training and deploying large-scale machine learning models.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with various programming languages and technologies to create solutions for businesses and consumers. The OpenCL on FPGAs course can help build a foundation in parallel programming and hardware acceleration, which are essential skills for Software Engineers working on high-performance computing applications.
Data Scientist
Data Scientist
Data Scientists use data analysis techniques to extract insights from large datasets. They work with various programming languages and tools to develop models that can predict future trends and identify patterns in data. The OpenCL on FPGAs course can provide Data Scientists with a deeper understanding of parallel programming and hardware acceleration techniques, which can be valuable in processing large volumes of data efficiently.
Robotics Engineer
Robotics Engineer
Robotics Engineers design, develop, and maintain robots. They work with various software and hardware technologies to create robots that can perform tasks autonomously. The OpenCL on FPGAs course can provide Robotics Engineers with a deeper understanding of parallel programming and hardware acceleration techniques, which can be valuable in developing robots that can process data and make decisions in real-time.
Embedded Systems Engineer
Embedded Systems Engineer
Embedded Systems Engineers design and develop embedded systems, which are computer systems that are integrated into larger devices, such as smartphones, cars, and medical devices. They work with various software and hardware technologies to ensure that embedded systems meet performance and reliability requirements. The OpenCL on FPGAs course can provide Embedded Systems Engineers with a deeper understanding of parallel programming and hardware acceleration techniques, which can be valuable in designing and developing high-performance embedded systems.
Aerospace Engineer
Aerospace Engineer
Aerospace Engineers design, develop, and test aircraft, spacecraft, and other aerospace systems. They work with various software and hardware technologies to ensure that aerospace systems meet performance and safety requirements. The OpenCL on FPGAs course can provide Aerospace Engineers with a deeper understanding of parallel programming and hardware acceleration techniques, which can be valuable in designing and developing high-performance aerospace systems.
Electrical Engineer
Electrical Engineer
Electrical Engineers design, develop, and maintain electrical systems, such as power plants, transmission lines, and electrical equipment. They work with various software and hardware technologies to ensure that electrical systems meet performance and safety requirements. The OpenCL on FPGAs course can provide Electrical Engineers with a deeper understanding of parallel programming and hardware acceleration techniques, which can be valuable in designing and developing high-performance electrical systems.
Automotive Engineer
Automotive Engineer
Automotive Engineers design, develop, and test automobiles and other vehicles. They work with various software and hardware technologies to ensure that vehicles meet performance and safety requirements. The OpenCL on FPGAs course can provide Automotive Engineers with a deeper understanding of parallel programming and hardware acceleration techniques, which can be valuable in designing and developing high-performance automotive systems.
Chemical Engineer
Chemical Engineer
Chemical Engineers design, develop, and operate chemical plants and processes. They work with various software and hardware technologies to ensure that chemical plants meet performance and safety requirements. The OpenCL on FPGAs course can provide Chemical Engineers with a deeper understanding of parallel programming and hardware acceleration techniques, which can be valuable in designing and operating high-performance chemical plants.
Systems Engineer
Systems Engineer
Systems Engineers design, develop, and integrate complex systems, such as computer networks, telecommunications systems, and embedded systems. They work with various software and hardware technologies to ensure that systems meet performance and reliability requirements. The OpenCL on FPGAs course can provide Systems Engineers with a deeper understanding of parallel programming and hardware acceleration techniques, which can be valuable in designing and integrating high-performance computing systems.
Computer Hardware Engineer
Computer Hardware Engineer
Computer Hardware Engineers design, develop, and test computer hardware components, such as processors, memory, and storage devices. They work with various software and hardware tools to ensure that hardware meets performance and reliability requirements. The OpenCL on FPGAs course can provide Computer Hardware Engineers with a deeper understanding of parallel programming and hardware acceleration techniques, which can be valuable in designing high-performance computing systems.
Biomedical Engineer
Biomedical Engineer
Biomedical Engineers design, develop, and test medical devices and systems. They work with various software and hardware technologies to ensure that medical devices meet performance and safety requirements. The OpenCL on FPGAs course can provide Biomedical Engineers with a deeper understanding of parallel programming and hardware acceleration techniques, which can be valuable in designing and developing high-performance biomedical systems.
Civil Engineer
Civil Engineer
Civil Engineers design, build, and maintain infrastructure, such as bridges, roads, and buildings. They work with various software and hardware technologies to ensure that infrastructure meets performance and safety requirements. The OpenCL on FPGAs course can provide Civil Engineers with a deeper understanding of parallel programming and hardware acceleration techniques, which can be valuable in designing and developing high-performance civil engineering systems.
For more career information including salaries, visit:
OpenCourser.com/course/v695jb/introduction
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Introduction to OpenCL on FPGAs.
The OpenCL Programming Guide provides detailed coverage of the OpenCL specification, with examples written in both C and C++. It is an essential resource for anyone who wants to learn OpenCL programming.
As the first book ever written on OpenCL, OpenCL in Action leads you through the basics and beyond.
Provides a comprehensive overview of FPGA-based system design. It covers the basics of FPGA-based system design, as well as more advanced topics such as performance optimization and debugging.
Save
Provides a comprehensive overview of FPGA design. It covers the basics of FPGA architecture, as well as more advanced topics such as performance optimization and debugging.
Provides a comprehensive overview of digital system design using FPGAs. It covers the basics of digital system design, as well as more advanced topics such as performance optimization and debugging.
Save
Provides a comprehensive overview of Verilog HDL. It covers the basics of Verilog HDL, as well as more advanced topics such as performance optimization and debugging.
Provides a comprehensive overview of SystemVerilog for verification. It covers the basics of SystemVerilog for verification, as well as more advanced topics such as performance optimization and debugging.
Provides a comprehensive overview of programming massively parallel processors.
Provides a collection of Verilog examples for FPGA prototyping. It good resource for those who want to learn how to use Verilog to design FPGAs.
Save
Provides a comprehensive overview of CUDA programming.
Provides a comprehensive overview of modern C++ programming techniques.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/v695jb/introduction
Share
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Time
24 hours
Via
Coursera
Institution
Intel
Instructors
Nikhil Venkatesh
Dennis Ejorh
Good to know
Useful for those with FPGA development experience
Taught by industry leaders, Nikhil Venkatesh and Dennis Ejorh
Core concepts in parallel programming using OpenCL
Helpful for those looking to understand the OpenCL specification
Provides insights into OpenCL usage through examples
Examines similarities and differences between OpenCL and CUDA
Assumes familiarity with FPGA development
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