Informações sobre o curso
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Prazos flexíveis

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Nível intermediário

Aprox. 12 horas para completar

Sugerido: 4-10 hours/week...

Inglês

Legendas: Inglês

Habilidades que você terá

Computer ArchitectureComputer ProgrammingConfiguring FPGA systems

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Aprox. 12 horas para completar

Sugerido: 4-10 hours/week...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
2 horas para concluir

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 vídeos (total de (Total 46 mín.) min), 3 testes
8 videos
An overview of cloud infrastructure6min
Cloud Computing: few definitions7min
Reconfigurable acceleration in the Cloud4min
Reconfigurable acceleration in the Cloud: intel FPGA-based solutions6min
Reconfigurable acceleration in the Cloud: Xilinx FPGA-based solutions5min
Reconfigurable acceleration in the Cloud: from the past, to the future3min
An introduction to the AWS EC2 F1 instances7min
3 exercícios práticos
QUIZ 130min
QUIZ 230min
QUIZ 35min
Semana
2
2 horas para concluir

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 vídeos (total de (Total 51 mín.) min), 3 testes
9 videos
F1: instances and FPGA description3min
How FPGA Acceleration Works on AWS3min
AWS F1 Platform Model9min
Creating Kernels from RTL IP, C/C++, OpenCL6min
Compiling the Platform3min
Creating an Amazon FPGA Image2min
Developing and Executing a Host Application on F17min
Start Accelerating4min
3 exercícios práticos
QUIZ 410min
QUIZ 530min
QUIZ 630min
Semana
3
3 horas para concluir

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 vídeos (total de (Total 48 mín.) min), 1 leitura, 1 teste
8 videos
Algorithm and code analysis5min
Roofline model 1/26min
Roofline model 2/24min
Code profiling6min
Static Code Analysis 1/26min
Static Code Analysis 2/24min
Performance Prediction via Roofline Model7min
1 leituras
SDAccel Environment Profiling and Optimisation Guide30min
1 exercício prático
QUIZ 730min
Semana
4
5 horas para concluir

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 vídeos (total de (Total 95 mín.) min), 2 leituras, 2 testes
12 videos
A first implementation 2/39min
A first implementation 3/34min
Parallelism in the Smith-Waterman Algorithm8min
Systolic Array Architecture 1/29min
Systolic Array Architecture 2/212min
Input Compression6min
Shift Register8min
Dual Physical Ports5min
Smith-Waterman accelerated on the Amazon EC2 F1 instances 1/36min
Smith-Waterman accelerated on the Amazon EC2 F1 instances 2/38min
Smith-Waterman accelerated on the Amazon EC2 F1 instances 3/39min
2 leituras
Sources Codes30min
Source Codes30min
2 exercícios práticos
QUIZ 830min
QUIZ 920min
1 hora para concluir

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 vídeo (total de (Total 3 mín.) min), 1 leitura
1 leituras
Architectural optimizations for high performance and energy efficient Smith-Waterman implementation on FPGAs using OpenCL45min

Instrutores

Avatar

Marco Domenico Santambrogio

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

Sobre Politecnico di Milano

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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