Chevron Left
返回到 Developing FPGA-accelerated cloud applications with SDAccel: Practice

學生對 米兰理工大学 提供的 Developing FPGA-accelerated cloud applications with SDAccel: Practice 的評價和反饋

4.4
星
25 個評分
•
6 條評論

課程概述

This course is for anyone passionate about learning how to develop FPGA-accelerated applications with SDAccel! The more general purpose you are, the more flexible you are and the more kinds of programs and algorithms you can execute on your underlying computing infrastructure. All of this is terrific, but there is no free food and this is happening, quite often, by losing in efficiency. This course will present several scenarios where the workloads require more performance than can be obtained even by using the fastest CPUs. This scenario is turning cloud and data center architectures toward accelerated computing. Within this course, we are going to show you how to gain benefits by using Xilinx SDAccel to program Amazon EC2 F1 instances. We are going to do this through a working example of an algorithm used in computational biology. The huge amount of data the algorithms need to process and their complexity raised the problem of increasing the amount of computational power needed to perform the computation. In this scenario, hardware accelerators revealed to be effective in achieving a speed-up in the computation while, at the same time, saving power consumption. Among the algorithms used in computational biology, the Smith-Waterman algorithm is a dynamic programming algorithm, guaranteed to find the optimal local alignment between two strings that could be nucleotides or proteins. In the following classes, we present an analysis and successive FPGA-based hardware acceleration of the Smith-Waterman algorithm used to perform pairwise alignment of DNA sequences. Within this context, this course is focusing on distributed, heterogeneous cloud infrastructures, providing you details on how to use Xilinx SDAccel, through working examples, to bring your solutions to life by using the Amazon EC2 F1 instances....

熱門審閱

MB
2020年4月21日

Good to learn a new course if it would be more hands-on would have much interesting. Anyway thank you for giving a new technology or knowledge

RM
2020年12月13日

Excellent!! I enjoyed a lot! It was complementary information for my PhD! Thank you!

篩選依據：

1 - Developing FPGA-accelerated cloud applications with SDAccel: Practice 的 6 個評論（共 6 個）

創建者 Joel M M

•
2020年12月9日

I really enjoyed the course. The explanations are clear and engaging. The only downside is that I found it a bit challenging to follow the explanations on SDAccel and Vivado HLS in week 4. I believe a set of videos introducing Vivado HLS (quick introduction on design flow, HLS Pragma, etc) and OpenCL would have helped significantly. Thank you to the instructors!

創建者 Mudasar B

•
2020年4月22日

Good to learn a new course if it would be more hands-on would have much interesting. Anyway thank you for giving a new technology or knowledge

創建者 Romina M

•
2020年12月14日

Excellent!! I enjoyed a lot! It was complementary information for my PhD! Thank you!

創建者 Qaiser I

•
2021年1月30日

An excellent and rare course. Highly recommended.

創建者 4NM16EC026 B S K

•
2020年9月1日

Expected more demonstration and maybe hands-on SDAccel

創建者 Isaac K

•
2020年5月24日

Not what i was expecting, fpga became very software engineering and less hardware..

Coursera Footer

開拓職業生涯或促進職業發展

瀏覽熱門主題

熱門課程和文章

在線獲得學位或證書

Coursera

社區

更多

隨時隨地學習
通過 App Store 下載通過 Google Play 獲取
Placeholder