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Overview
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 inefficiency.
This Developing FPGA - Accelerated cloud applications with SDAccel - Practice course offered by Coursera in partnership with Politecnico di Milano will present several scenarios where the workloads require more performance than can be obtained even by using the fastest CPUs.
Key facts
- 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.
- 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.
Programme Structure
Courses include:
- Reconfigurable cloud infrastructure
- On how to accelerate the cloud with SDAccel
- Summing things up: the Smith-Waterman algorithm
- The Smith-Waterman example in details
- Course conclusions
Key information
Duration
- Part-time
- 7 days
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Design Computer Sciences Web Technologies & Cloud Computing View 416 other Short Courses in Computer Sciences in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate Level
- This course is aimed at students with prior programming experience and a desire to understand computation approaches to problem solving.
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved.
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