返回到 Developing FPGA-accelerated cloud applications with SDAccel: Theory
學生對 米兰理工大学 提供的 Developing FPGA-accelerated cloud applications with SDAccel: Theory 的評價和反饋
25 個評分
課程概述
This course is for anyone passionate in learning how to develop FPGA-accelerated applications with SDAccel!
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.
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.
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 course is focusing exactly on this. After introducing you to the FPGAs we are going to dig more into the details on how to use Xilinx SDAccel providing you also with working examples on how to optimize the hardware logic to obtain the best of of your hardware implementations. In this case, certain attributes, directives, or pragmas, can be used to direct the compilation and synthesis of the hardware kernel, or to optimise the function of the data mover operating between the processor and the hardware logic.
Furthermore, In this course we are going to focus on distributed, heterogeneous infrastructures, presenting how to bring your solutions to life by using the Amazon EC2 F1 instances.
熱門審閱
篩選依據：
1 - Developing FPGA-accelerated cloud applications with SDAccel: Theory 的 9 個評論（共 9 個）
創建者 Ming M
•Jan 17, 2020
A very nice introduction course to give you a detailed look at how FPGA can be used to accelerate software applications.
創建者 CIST N I
•Mar 19, 2020
Good for overall, easy to understand
創建者 Avinash S P
•Jan 07, 2020
Nice one ...
創建者 Satheesh N P
•Nov 27, 2019
Great course
創建者 Duchstf
•Jan 21, 2020
Good intro!
創建者 Meghana T
•Feb 08, 2020
excellent
創建者 yusef i
•Mar 24, 2020
It was less about how to code more about theory and in this course they mainly talked about high level synthesis.
創建者 Sharath
•Jul 22, 2019
Industry standards are met, a good course to start from basic
創建者 Akhil K
•Jun 14, 2019
Good.
© 2020 Coursera Inc.保留所有權利。
