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NumNum A matrix manipulation language Meet our team Art Zuks: - PowerPoint PPT Presentation

Feb 01, 2024 •223 likes •443 views

NumNum A matrix manipulation language Meet our team Art Zuks: Kaustubh Gopal Paul Czopowik: k: Sharon Chen: David d Tofu: System Chiplunka kar: r: Manager Tester Tester Architect Language GS SEAS '19 SEAS '19

  1. NumNum A matrix manipulation language

  2. Meet our team Art Zuks: Kaustubh Gopal Paul Czopowik: k: Sharon Chen: David d Tofu: System Chiplunka kar: r: Manager Tester Tester ● ● ● ● Architect Language GS SEAS '19 SEAS '19 ● ● ● ● CSMS Guru CS Major CS major ● ● ● MSCE ●

  3. Project Planning We used many cutting-edge tools to help manage our project workflow

  4. Development Timeline C style le function on Floats Pri rint nt function ons Strings rings declaration n in favor vor of Pyth ython on Func Matrix rix take kes Working king AST with h Matrix rix access Hello lo any type Matrixe rixes World ld! Static Arrays ys LLVM elif, bytes es, file le I/O Demo impli licit type e conver ersio sion

  5. Test Suite

  6. While we coded ● About the For corner cases ● For semantic checking, ● Test Suite codegen, pretty-printing ● For both our syntax and language logic How We Wrote It Wrote fails ● Built upon the Micro-C test ● suite

  7. An Example Element-Wise Multiplication Semantic Checking Tester

  8. numnum A simple le C-like ike matrix trix manipulation pulation languag age ● Stack allocated arrays support Matrix ● File I/O ● Implicit casting

  9. Quick guide for Programming in numnum

  10. File IO ● Reads into byte, int and float matrix from a binary file Writes out matrices to files ● Properly closes file descriptors for the user ●

  11. Read

  12. Write

  13. Type Casting ● Completely implicit Converts to the type that is being assigned to ● For binary operations converts right side to left side type ●

  14. Operation Casting

  15. Assign Casting

  16. Demo 1 Image Manipulation

  17. Image Transformation Colored to BW image conversion ● Blurring with a Gaussian Blur filter ● ● Edge detection using kernels

  18. Image Transformation Using a python script we strip off the headers of the image ● ● Read the image into an array ● Read the RGB values into float temp variables, using implicit type conversion Perform a weighted sum of rgb values ● Assign the float sum back to all the rgb values ● Write back to the same image ●

  19. Mirror Reflection Flip

  20. Demo 2 Optical Character Recognition (OCR) with MNIST

  21. Neural Network Character Recognition Used the MNIST database to train a simple neural network for handwritten ● image recognition ● Used File IO to load the trained weights in the program Again used File IO to load the image RGB values (in bytes) ● Performed Accumulation and multiplication of the floats ● Go through all the confidence values, search for the biggest one, display the ● result

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