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Overview
We are entering in an era in which technology progress induces paradigm shifts in computing!
As a tradeoff between the two extreme characteristics of GPP and ASIC, we can find a new concept, a new idea of computing... the reconfigurable computing, which has combined the advantages of both the previous worlds.
Within this context, we can say that reconfigurable computing will widely, pervasively, and gradually impact human lives. Hence, it is time that we focus on how reconfigurable computing and reconfigurable system design techniques are to be utilised for building applications.
Key facts
- One one hand reconfigurable computing can have better performance with respect to a software implementation but paying this in terms of time to implement.
- On the other hand a reconfigurable device can be used to design a system without requiring the same design time and complexity compared to a full custom solution but being beaten in terms of performance.
- Within this context, the Xilinx SDx tools, including the SDAccel environment, the SDSoC environment, and Vivado HLS, provide an out-of-the-box experience for system programmers looking to partition elements of a software application to run in an FPGA-based hardware element, and having that hardware work seamlessly with the rest of the application running in a processor or embedded processor.
Experiences
The out-of-the-box experience will provide interesting and, let us say, “good enough” results for many applications.
However, this may not be true for you, you may be looking for better performance, data throughput, reduced latency, or to reduce the resources usage... This Developing FPGA - accelerated cloud applications with SDAccel - Theory course offered by Coursera in partnership with Politecnico di Milano is focusing exactly on this.
What you'll learn
- The theory on how to develop FPGA-accelerated applications with SDAccel.
Skills you'll gain
- Computer Architecture
Programme Structure
Courses include:
- Familizarize youself with FPGA technologies
- A bird's eye view on SDAccel
- On how to optmize your system
- Optimize your system via SDAccel
- Other optimizations
Key information
Duration
- Part-time
- 21 months
- 6 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Design Computer Sciences Web Technologies & Cloud Computing View 512 other Short Courses in Computer Sciences in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Intermediate Level
- This course is aimed at students with prior programming experience and a desire to understand computation approaches to problem solving.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $59/month, cancel anytime or $399/year with 14-day money-back guarantee
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved.
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