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完成時間大約為12 小時

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Computer ArchitectureComputer ProgrammingConfiguring FPGA systems

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

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中級

完成時間大約為12 小時

建議:4-10 hours/week...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 2 小時

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 個視頻 (總計 46 分鐘), 3 個測驗
8 個視頻
An overview of cloud infrastructure6分鐘
Cloud Computing: few definitions7分鐘
Reconfigurable acceleration in the Cloud4分鐘
Reconfigurable acceleration in the Cloud: intel FPGA-based solutions6分鐘
Reconfigurable acceleration in the Cloud: Xilinx FPGA-based solutions5分鐘
Reconfigurable acceleration in the Cloud: from the past, to the future3分鐘
An introduction to the AWS EC2 F1 instances7分鐘
3 個練習
QUIZ 130分鐘
QUIZ 230分鐘
QUIZ 35分鐘
2
完成時間為 2 小時

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 個視頻 (總計 51 分鐘), 3 個測驗
9 個視頻
F1: instances and FPGA description3分鐘
How FPGA Acceleration Works on AWS3分鐘
AWS F1 Platform Model9分鐘
Creating Kernels from RTL IP, C/C++, OpenCL6分鐘
Compiling the Platform3分鐘
Creating an Amazon FPGA Image2分鐘
Developing and Executing a Host Application on F17分鐘
Start Accelerating4分鐘
3 個練習
QUIZ 410分鐘
QUIZ 530分鐘
QUIZ 630分鐘
3
完成時間為 3 小時

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 個視頻 (總計 48 分鐘), 1 個閱讀材料, 1 個測驗
8 個視頻
Algorithm and code analysis5分鐘
Roofline model 1/26分鐘
Roofline model 2/24分鐘
Code profiling6分鐘
Static Code Analysis 1/26分鐘
Static Code Analysis 2/24分鐘
Performance Prediction via Roofline Model7分鐘
1 個閱讀材料
SDAccel Environment Profiling and Optimisation Guide30分鐘
1 個練習
QUIZ 730分鐘
4
完成時間為 5 小時

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 個視頻 (總計 95 分鐘), 2 個閱讀材料, 2 個測驗
12 個視頻
A first implementation 2/39分鐘
A first implementation 3/34分鐘
Parallelism in the Smith-Waterman Algorithm8分鐘
Systolic Array Architecture 1/29分鐘
Systolic Array Architecture 2/212分鐘
Input Compression6分鐘
Shift Register8分鐘
Dual Physical Ports5分鐘
Smith-Waterman accelerated on the Amazon EC2 F1 instances 1/36分鐘
Smith-Waterman accelerated on the Amazon EC2 F1 instances 2/38分鐘
Smith-Waterman accelerated on the Amazon EC2 F1 instances 3/39分鐘
2 個閱讀材料
Sources Codes30分鐘
Source Codes30分鐘
2 個練習
QUIZ 830分鐘
QUIZ 920分鐘
完成時間為 1 小時

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 個視頻 (總計 3 分鐘), 1 個閱讀材料
1 個閱讀材料
Architectural optimizations for high performance and energy efficient Smith-Waterman implementation on FPGAs using OpenCL45分鐘

講師

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Marco Domenico Santambrogio

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

關於 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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