Developing FPGA-accelerated cloud applications with SDAccel: Practice faq

star-rating
4.2
learnersLearners: 1,200
instructor Instructor: / instructor-icon
duration Duration: duration-icon

This course provides an introduction to developing FPGA-accelerated applications with SDAccel, enabling learners to gain the skills necessary to create cloud-based applications. It is ideal for those passionate about learning the fundamentals of FPGA-accelerated development.

ADVERTISEMENT

Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Coursera

certificateCertificate:

No Information

languageLanguage:

English

start dateStart Date:

Self Paced

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

This course provides an overview of developing FPGA-accelerated cloud applications with SDAccel. It begins with an introduction to cloud infrastructure and a few definitions of cloud computing. It then covers reconfigurable acceleration in the cloud, including Intel FPGA-based solutions, Xilinx FPGA-based solutions, and a look at the past and future of reconfigurable acceleration in the cloud. Finally, the course provides an introduction to the AWS EC2 F1 instances.

[Applications]
After completing this course, participants can apply their knowledge to develop FPGA-accelerated cloud applications with SDAccel. They can use the cloud infrastructure to deploy their applications and take advantage of the reconfigurable acceleration provided by Intel and Xilinx FPGA-based solutions. Additionally, they can use the AWS EC2 F1 instances to further explore the possibilities of FPGA-accelerated cloud applications.

[Career Paths]
1. Cloud Computing Engineer: Cloud Computing Engineers are responsible for designing, developing, and maintaining cloud-based systems. They must be knowledgeable in cloud computing technologies, such as virtualization, distributed computing, and storage. They must also be able to develop and maintain cloud-based applications and services. As cloud computing continues to grow in popularity, the demand for Cloud Computing Engineers is expected to increase.

2. FPGA Engineer: FPGA Engineers are responsible for designing, developing, and maintaining FPGA-based systems. They must be knowledgeable in FPGA technologies, such as hardware design, software development, and system integration. They must also be able to develop and maintain FPGA-based applications and services. As FPGA technology continues to evolve, the demand for FPGA Engineers is expected to increase.

3. Cloud Security Engineer: Cloud Security Engineers are responsible for designing, developing, and maintaining secure cloud-based systems. They must be knowledgeable in cloud security technologies, such as encryption, authentication, and access control. They must also be able to develop and maintain secure cloud-based applications and services. As cloud security continues to become more important, the demand for Cloud Security Engineers is expected to increase.

4. SDAccel Developer: SDAccel Developers are responsible for designing, developing, and maintaining applications using the SDAccel development environment. They must be knowledgeable in SDAccel technologies, such as hardware design, software development, and system integration. They must also be able to develop and maintain applications using the SDAccel development environment. As SDAccel continues to become more popular, the demand for SDAccel Developers is expected to increase.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, including programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. As cloud computing continues to grow in popularity, this degree path is becoming increasingly important for those looking to develop cloud applications.

2. Master of Science in Cloud Computing: This degree path focuses on the development of cloud applications and services. It covers topics such as cloud architecture, cloud security, cloud storage, and cloud computing platforms. It also covers topics such as distributed computing, big data, and analytics. As cloud computing continues to evolve, this degree path is becoming increasingly important for those looking to develop cloud applications.

3. Master of Science in FPGA-Accelerated Computing: This degree path focuses on the development of FPGA-accelerated applications and services. It covers topics such as FPGA architecture, FPGA programming, and FPGA-accelerated computing platforms. It also covers topics such as distributed computing, big data, and analytics. As FPGA-accelerated computing continues to grow in popularity, this degree path is becoming increasingly important for those looking to develop FPGA-accelerated cloud applications.

4. Doctor of Philosophy in Cloud Computing: This degree path focuses on the research and development of cloud computing technologies. It covers topics such as cloud architecture, cloud security, cloud storage, and cloud computing platforms. It also covers topics such as distributed computing, big data, and analytics. As cloud computing continues to evolve, this degree path is becoming increasingly important for those looking to develop innovative cloud applications.

Course Syllabus

Applicative domains and Victor's story

F1: instances and FPGA description

How FPGA Acceleration Works on AWS

AWS F1 Platform Model

Creating Kernels from RTL IP, C/C++, OpenCL

Compiling the Platform

Creating an Amazon FPGA Image

Developing and Executing a Host Application on F1

Start Accelerating

Pros & Cons

Pros Cons
  • pros

    Clear and engaging explanations

  • pros

    Complementary information for PhD

  • pros

    Rare course

  • pros

    Highly recommended.

  • cons

    Challenging to follow explanations

  • cons

    Not handson enough

  • cons

    Too much software engineering.

Course Provider

Provider Coursera's Stats at AZClass

The course describes how to develop FPGA-accelerated applications using SDAccel, enabling learners to acquire the skills needed to create cloud-based applications. It is ideal for those keen to learn the fundamentals of FPGA accelerated development. They introduce learners to cloud infrastructure, cloud computing, and reconfigurable acceleration in the cloud. Learners will learn about Intel FPGA-based solutions, Xilinx FPGA-based solutions, and the history of reconfigurable acceleration in the cloud. The course also provides learners with the opportunity to practice developing FPGA-accelerated cloud applications using SDAccel.

Discussion and Reviews

0.0   (Based on 0 reviews)

Start your review of Developing FPGA-accelerated cloud applications with SDAccel: Practice

faq FAQ for Cloud Computing Courses

Q1: What is the purpose of this online course on Developing FPGA-accelerated cloud applications with SDAccel?

This online course is designed to provide an introduction to developing FPGA-accelerated cloud applications with SDAccel. It covers topics such as the basics of FPGA programming, the fundamentals of cloud computing, and how to use SDAccel to develop and deploy FPGA-accelerated cloud applications. The course also provides hands-on practice with SDAccel to help you gain the skills and knowledge needed to develop and deploy FPGA-accelerated cloud applications.

Q2: What topics are covered in this online course on Developing FPGA-accelerated cloud applications with SDAccel?

This online course covers topics such as the basics of FPGA programming, the fundamentals of cloud computing, and how to use SDAccel to develop and deploy FPGA-accelerated cloud applications. It also covers topics such as optimization techniques, debugging and profiling, and deploying applications to the cloud. Additionally, the course provides hands-on practice with SDAccel to help you gain the skills and knowledge needed to develop and deploy FPGA-accelerated cloud applications.

Q3: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q4: Can I take this course for free?

Yes, this is a free course offered by Coursera, please click the "go to class" button to access more details.

Q5: How many people have enrolled in this course?

So far, a total of 1200 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q6: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Coursera's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Coursera may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Cloud Computing courses and certifications, our extensive collection at azclass.net will help you.

close

To provide you with the best possible user experience, we use cookies. By clicking 'accept', you consent to the use of cookies in accordance with our Privacy Policy.