Chevron Left
Developing FPGA-accelerated cloud applications with SDAccel: Theory(으)로 돌아가기

밀라노 국립건축대학의 Developing FPGA-accelerated cloud applications with SDAccel: Theory 학습자 리뷰 및 피드백

4.8
별점
72개의 평가
•
17개의 리뷰

강좌 소개

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....

최상위 리뷰

SA

2020년 7월 25일

The content was awesome !. The course was introductory for anyone who has taken embedded systems and introductory FPGA course. I wish it had assignments and projects.

PM

2020년 11월 30일

An amazing course and Instructor. The course provides brief insights about accelerating the Cloud applications using the Xilinx SDAccel tool.

필터링 기준:

Developing FPGA-accelerated cloud applications with SDAccel: Theory의 17개 리뷰 중 1~17

교육 기관: Angel M C

•

2021년 3월 9일

Even though the course seems to be meant for SW developers, as a HW engineer (with experience in VHDL) it has been very useful to know about the acceleration architecture on cloud systems.

교육 기관: Qaiser I

•

2020년 7월 29일

The course provides strong theoretical foundations, tool flow, what can be achieved using SDAccel. A new development environment that is here to stay. I am working in this area, I still found it very useful. Read about my work here, https://www.mdpi.com/1999-5903/12/4/64

교육 기관: syed t a

•

2020년 7월 26일

The content was awesome !. The course was introductory for anyone who has taken embedded systems and introductory FPGA course. I wish it had assignments and projects.

교육 기관: prabhu p

•

2020년 12월 1일

An amazing course and Instructor. The course provides brief insights about accelerating the Cloud applications using the Xilinx SDAccel tool.

교육 기관: tanmay k

•

2020년 6월 21일

It is a good course to know the basic of Xilinx sdaccel with a bit more inclination towards the history of the development of FPGA.

교육 기관: Ming M

•

2020년 1월 17일

A very nice introduction course to give you a detailed look at how FPGA can be used to accelerate software applications.

교육 기관: CIST N I

•

2020년 3월 19일

Good for overall, easy to understand

교육 기관: Muhammad L

•

2020년 7월 8일

Great Course

교육 기관: Avinash S P

•

2020년 1월 7일

Nice one ...

교육 기관: Satheesh N P

•

2019년 11월 27일

Great course

교육 기관: Duchstf

•

2020년 1월 21일

Good intro!

교육 기관: Sanjaya

•

2020년 10월 11일

Awesome ..

교육 기관: Meghana

•

2020년 2월 8일

excellent

교육 기관: Raghul R

•

2020년 6월 19일

The teacher needs to slow down while speaking. Its hard to follow him at few "instances" if you know what I mean.

교육 기관: Yusef I

•

2020년 3월 24일

It was less about how to code more about theory and in this course they mainly talked about high level synthesis.

교육 기관: Sharath

•

2019년 7월 22일

Industry standards are met, a good course to start from basic

교육 기관: Akhil K

•

2019년 6월 14일

Good.

Coursera Footer

경력을 시작하거나 쌓기

인기 있는 주제 찾아보기

인기 강좌 및 문서

온라인으로 학위 또는 자격증 취득

Coursera

커뮤니티

기타

어디에서나 학습
앱스토어에서 다운로드하기구글 플레이에서 받기
Placeholder