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A CAD FRAMEWORK
FOR FPGA-BASED SYSTEMS
luca.stornaiuolo@mail.polimi.it
Microsoft
06/07/2017
Alberto Scolari, Anna Maria Nestorov, Emanuele Del Sozzo, Enrico Reggiani,
Gianluca Durelli, Giuseppe Natale, Lorenzo Di Tucci, Luca Stornaiuolo,
Marco Rabozzi, Marco D. Santambrogio
NGCVIII
2017@SF
2
FPGAs
Fault
Tolerance
Power
Efficiency
Runtime
Adaptivity
3
Heterogeneous Complex Systems
F1
Project Catapult
4
Research Challenge
5
Contribution
6
CAOSWebUI
CAOSFlowManager
Backend
Functions
Optimization
Frontend
<system
>
…
</system
>
System
description
Profiling
datasets
______
__________
___
________
Application code
(C, C++, OPENCL)
______
__________
___
________
______
__________
___
________
1110010110
1010101111
1111010101
0101010101
0101010101
0111111
FPGAs
bitstreams
______
__________
___
________
System
runtime
ArchitecturalTemplates
7
CAOSWebUI
CAOSFlowManager
Backend
Functions
Optimization
Frontend
<system
>
…
</system
>
System
description
Profiling
datasets
______
__________
___
________
Application code
(C, C++, OPENCL)
______
__________
___
________
______
__________
___
________
1110010110
1010101111
1111010101
0101010101
0101010101
0111111
FPGAs
bitstreams
______
__________
___
________
System
runtime
ArchitecturalTemplates
Architectural Templates
( )
OpenCL
Streaming
…
( )
…
Computation Model Technology
SST
8
CAOSWebUI
CAOSFlowManager
Backend
Functions
Optimization
Frontend
<system
>
…
</system
>
System
description
Profiling
datasets
______
__________
___
________
Application code
(C, C++, OPENCL)
______
__________
___
________
______
__________
___
________
1110010110
1010101111
1111010101
0101010101
0101010101
0111111
FPGAs
bitstreams
______
__________
___
________
System
runtime
ArchitecturalTemplates
9
CAOSWebUI
CAOSFlowManager
Backend
Functions
Optimization
Frontend
<system
>
…
</system
>
System
description
Profiling
datasets
______
__________
___
________
Application code
(C, C++, OPENCL)
______
__________
___
________
______
__________
___
________
1110010110
1010101111
1111010101
0101010101
0101010101
0111111
FPGAs
bitstreams
______
__________
___
________
System
runtime
ArchitecturalTemplates
10
CAOSWebUI
CAOSFlowManager
Backend
Functions
Optimization
Frontend
<system
>
…
</system
>
System
description
Profiling
datasets
______
__________
___
________
Application code
(C, C++, OPENCL)
______
__________
___
________
______
__________
___
________
1110010110
1010101111
1111010101
0101010101
0101010101
0111111
FPGAs
bitstreams
______
__________
___
________
System
runtime
ArchitecturalTemplates
11
CAOSWebUI
CAOSFlowManager
Backend
Functions
Optimization
Frontend
<system
>
…
</system
>
System
description
Profiling
datasets
______
__________
___
________
Application code
(C, C++, OPENCL)
______
__________
___
________
______
__________
___
________
1110010110
1010101111
1111010101
0101010101
0101010101
0111111
FPGAs
bitstreams
______
__________
___
________
System
runtime
ArchitecturalTemplates
SST
MaxCompiler
Output Generation
12
13
Demo Application
Convolution filters for retinal
vessels segmentation
• The goals are:
– to speed up the “hot” portion of Vessel
– to show how CAOS can really help and ease
porting
14
Vessels Segmentation
• Retinal vessels segmentation recognizes blood vessels
from retinal images.
• Vessel segmentation is essentially a convolution that
slides a 2D matrix onto the matrix representing the image
to process.
15
Questions
16
Thank you!
Luca Stornaiuolo
luca.stornaiuolo@mail.polimi.it
Politecnico di Milano

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A CAD Framework for FPGA-Based Systems

Editor's Notes

  1. Nowadays, High performance processing systems are considering FPGA-based accelerators as a promising solution for several application fields, due to the high relative performance with respect to a low power consumption, however, the employment of such devices poses challenges due to the high level of complexity required to program them.
  2. Nowadays, High performance processing systems are considering FPGA-based accelerators as a promising solution for several application fields, due to the high relative performance with respect to a low power consumption, however, the employment of such devices poses challenges due to the high level of complexity required to program them.
  3. Nowadays, High performance processing systems are considering FPGA-based accelerators as a promising solution for several application fields, due to the high relative performance with respect to a low power consumption, however, the employment of such devices poses challenges due to the high level of complexity required to program them. Pendenza …
  4. The framework has been designed in order to ensure usability, so that users with low-expertise on FPGA are able to use it, interactivity during the design phases to guide the user through the optimization process, modularity, so that users can upload their custom modules.
  5. The framework has been designed in order to ensure usability, so that users with low-expertise on FPGA are able to use it, interactivity during the design phases to guide the user through the optimization process, modularity, so that users can upload their custom modules.
  6. The framework has been designed in order to ensure usability, so that users with low-expertise on FPGA are able to use it, interactivity during the design phases to guide the user through the optimization process, modularity, so that users can upload their custom modules.
  7. The framework has been designed in order to ensure usability, so that users with low-expertise on FPGA are able to use it, interactivity during the design phases to guide the user through the optimization process, modularity, so that users can upload their custom modules.
  8. The framework has been designed in order to ensure usability, so that users with low-expertise on FPGA are able to use it, interactivity during the design phases to guide the user through the optimization process, modularity, so that users can upload their custom modules.
  9. The framework has been designed in order to ensure usability, so that users with low-expertise on FPGA are able to use it, interactivity during the design phases to guide the user through the optimization process, modularity, so that users can upload their custom modules.