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Computing as Fast as an Engineer can Think

Computing as Fast as an Engineer can Think. Robert C. Singleterry Jr. Olaf O. Storaasli Analytical and Computational Methods Branch Structures and Materials. How to Program Reconfigurable Computers?. Data Flow Programming Style Must Think “Inherently Parallel” Graphical Based “Language”

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Computing as Fast as an Engineer can Think

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  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 Reconfigurable Computers

  3. Dot Product Example Reconfigurable Computers

  4. Integration Algorithm:Old Idea • Simpson’s Rule • Simple • Straight forward • Problem • Not an inherently parallel algorithm • Procedure based algorithm Reconfigurable Computers

  5. a a b b Second Step First Step a b Third Step Integration:New Idea Reconfigurable Computers

  6. Benchmarking • Initial Investigation Benchmarks • Dot Product • Integration • Matrix Solution • ODE and PDE Solutions • Differencing • Finite elements • Integral Methods Reconfigurable Computers

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