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Computing as Fast as an Engineer can Think

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Presentation on theme: "Computing as Fast as an Engineer can Think"— Presentation transcript:

1 Computing as Fast as an Engineer can Think
Robert C. Singleterry Jr. Olaf O. Storaasli Analytical and Computational Methods Branch Structures and Materials

2 How to Program Reconfigurable Computers?
Data Flow Programming Style Must Think “Inherently Parallel” Graphical Based “Language” Everything Tied to Clock Signals No Von Neumann Bottlenecks Programming Power Tied to Number of Gates or Area (Number) of FPGAs 10/27/2019 Reconfigurable Computers

3 Reconfigurable Computers
Dot Product Example 10/27/2019 Reconfigurable Computers

4 Integration Algorithm: Old Idea
Simpson’s Rule Simple Straight forward Problem Not an inherently parallel algorithm Procedure based algorithm 10/27/2019 Reconfigurable Computers

5 Reconfigurable Computers
Integration: New Idea a b First Step a b Second Step a b Third Step 10/27/2019 Reconfigurable Computers

6 Reconfigurable Computers
Benchmarking Initial Investigation Benchmarks Dot Product Integration Matrix Solution ODE and PDE Solutions Differencing Finite elements Integral Methods 10/27/2019 Reconfigurable Computers


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