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Developing FPGA-accelerated cloud applications with SDAccel: Practice
Intermediate
Online
1 Weeks
2,699 INR Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Coursera |
The Syllabus
Videos
- Course introduction
- An overview of cloud infrastructure
- Cloud Computing: few definitions
- Reconfigurable acceleration in the Cloud
- Reconfigurable acceleration in the Cloud: Intel FPGA-based solutions
- Reconfigurable acceleration in the Cloud: Xilinx FPGA-based solutions
- Reconfigurable acceleration in the Cloud: from the past, to the future
- An introduction to the AWS EC2 F1 instances
Practice Exercise
- QUIZ 1
- QUIZ 2
- QUIZ 3
Videos
- Applicative domains and Victor's story
- F1: instances and FPGA description
- How FPGA Acceleration Works on AWS
- AWS F1 Platform Model
- Creating Kernels from RTL IP, C/C++, OpenCL
- Compiling the Platform
- Creating an Amazon FPGA Image
- Developing and Executing a Host Application on F1
- Start Accelerating
Practice Exercise
- QUIZ 4
- QUIZ 5
- QUIZ 6
Videos
- Problem description
- Algorithm and code analysis
- Roofline model 1/2
- Roofline model 2/2
- Code profiling
- Static Code Analysis 1/2
- Static Code Analysis 2/2
- Performance Prediction via Roofline Model
Readings
- SDAccel Environment Profiling and Optimisation Guide
Practice Exercise
- QUIZ 7
Videos
- A first implementation 1/3
- A first implementation 2/3
- A first implementation 3/3
- Parallelism in the Smith-Waterman Algorithm
- Systolic Array Architecture 1/2
- Systolic Array Architecture 2/2
- Input Compression
- Shift Register
- Dual Physical Ports
- Smith-Waterman accelerated on the Amazon EC2 F1 instances 1/3
- Smith-Waterman accelerated on the Amazon EC2 F1 instances 2/3
- Smith-Waterman accelerated on the Amazon EC2 F1 instances 3/3
Readings
- Sources Codes
- Source Codes
Practice Exercise
- QUIZ 8
- QUIZ 9
Videos
- Closing remarks and future directions
Readings
- Architectural optimizations for high performance and energy efficient Smith-Waterman implementation on FPGAs using OpenCL