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中级

完成时间大约为12 小时

建议:4-10 hours/week...

英语(English)

字幕:英语(English)

您将获得的技能

Computer ArchitectureComputer ProgrammingConfiguring FPGA systems

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中级

完成时间大约为12 小时

建议:4-10 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 2 小时

Reconfigurable cloud infrastructure

Distributed systems, data center and cloud architectures are facing the exponential growth in computing requirements and the impossibility for CPU-based solutions to keep pace. Within this context these complex distributed systems have to move toward accelerated computing. Accelerators complement CPU-based architectures and deliver both performance and power efficiency. Moreover, modern data center, as we know, can be used by several different users to serve different workloads and the idea of having an underlying architecture built on reconfigurable technologies seems to provide an ideal fit for these changing, demanding, workloads. This module provides a description of the main cloud computing components and technologies, as well as detailing the current technologies to accelerate cloud computing workloads....
8 个视频 (总计 46 分钟), 3 个测验
8 个视频
An overview of cloud infrastructure6分钟
Cloud Computing: few definitions7分钟
Reconfigurable acceleration in the Cloud4分钟
Reconfigurable acceleration in the Cloud: intel FPGA-based solutions6分钟
Reconfigurable acceleration in the Cloud: Xilinx FPGA-based solutions5分钟
Reconfigurable acceleration in the Cloud: from the past, to the future3分钟
An introduction to the AWS EC2 F1 instances7分钟
3 个练习
QUIZ 130分钟
QUIZ 230分钟
QUIZ 35分钟
2
完成时间为 2 小时

On how to accelerate the cloud with SDAccel

Within this module we are going to have a first taste on how to gain the best out of the combination of the F1 instances with SDAccel providing some few practical instructions on how to develop accelerated applications on Amazon F1 by using the Xilinx SDAccel development environment. Then, we are going to present what it is necessary to create FPGA kernels, assemble the FPGA program and to compile the Amazon FPGA Image, or AFI. Finally, we will describe the steps and tasks involved in developing a host application accelerated on the F1 FPGA....
9 个视频 (总计 51 分钟), 3 个测验
9 个视频
F1: instances and FPGA description3分钟
How FPGA Acceleration Works on AWS3分钟
AWS F1 Platform Model9分钟
Creating Kernels from RTL IP, C/C++, OpenCL6分钟
Compiling the Platform3分钟
Creating an Amazon FPGA Image2分钟
Developing and Executing a Host Application on F17分钟
Start Accelerating4分钟
3 个练习
QUIZ 410分钟
QUIZ 530分钟
QUIZ 630分钟
3
完成时间为 3 小时

Summing things up: the Smith-Waterman algorithm

Within this module we are going to introduce you to the Smith-Waterman algorithm that we have chosen to demonstrate how to create a hardware implementation of a system based on FPGA technologies using the Xilinx SDAccel design framework. We are going to dig into the details of the algorithm from its data structures to the computation flow. Then we are going to introduce the Roofline model and we are going to use it to analyze the theoretical peak performance and the operational intensity of the Smith-Waterman algorithm....
8 个视频 (总计 48 分钟), 1 个阅读材料, 1 个测验
8 个视频
Algorithm and code analysis5分钟
Roofline model 1/26分钟
Roofline model 2/24分钟
Code profiling6分钟
Static Code Analysis 1/26分钟
Static Code Analysis 2/24分钟
Performance Prediction via Roofline Model7分钟
1 个阅读材料
SDAccel Environment Profiling and Optimisation Guide30分钟
1 个练习
QUIZ 730分钟
4
完成时间为 5 小时

The Smith-Waterman example in details

Within this module we are going to dig deeper in the Smith-Waterman algorithm. We are going to implement a first version of the algorithm on a local server with the Xilinx SDAccel design framework. Then we are going to introduce some optimizations to improve performance, in particular we will add more parallelism in the implementation and we will introduce systolic arrays. Moreover, we will explore how we can perform data compression and then we will leverage multiple memory ports to improve memory access speed. Finally, we are going to port our implementation of the Smith-Waterman algorithm on the AWS F1 instances....
12 个视频 (总计 95 分钟), 2 个阅读材料, 2 个测验
12 个视频
A first implementation 2/39分钟
A first implementation 3/34分钟
Parallelism in the Smith-Waterman Algorithm8分钟
Systolic Array Architecture 1/29分钟
Systolic Array Architecture 2/212分钟
Input Compression6分钟
Shift Register8分钟
Dual Physical Ports5分钟
Smith-Waterman accelerated on the Amazon EC2 F1 instances 1/36分钟
Smith-Waterman accelerated on the Amazon EC2 F1 instances 2/38分钟
Smith-Waterman accelerated on the Amazon EC2 F1 instances 3/39分钟
2 个阅读材料
Sources Codes30分钟
Source Codes30分钟
2 个练习
QUIZ 830分钟
QUIZ 920分钟
完成时间为 1 小时

Course conclusions

We are working at the edge of the research in the area of reconfigurable computing. FPGA technologies are not used only as standalone solutions/platforms but are now included into cloud infrastructures. They are now used both to accelerate infrastructure/backend computations and exposed as-a-Service that can be used by anyone. Within this context we are facing the definition of new research opportunities and technologies improvements and the time cannot be better under this perspective. This module is concluding this course but posing interesting questions towards possible future research directions that may also point the students to other Coursera courses on FPGAs....
1 个视频 (总计 3 分钟), 1 个阅读材料
1 个阅读材料
Architectural optimizations for high performance and energy efficient Smith-Waterman implementation on FPGAs using OpenCL45分钟

讲师

Avatar

Marco Domenico Santambrogio

Associate Professor
DEIB - Dept. of Electronics, Information and Bioengineering

关于 米兰理工大学

Politecnico di Milano is a scientific-technological University, which trains engineers, architects and industrial designers. From 2014 Politecnico di Milano started the release of several MOOCs, developed by the service for digital learning METID (Methods and Innovative Technologies for Learning), giving everybody the chance to enhance personal skills....

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