Getting Started

• Tutorial
• Topics:
  • Getting Started with the DE2i-250 Development Kit and Ubuntu Linux: installation, setup, examples.

• Fibonacci code: fibo.c
• SAXPY code:
  • Source Code: saxpy_ex.c, saxpy_fun.c saxpy_fun.h
  • Makefile
• Bubble Sort code:
  • Source Code: bsort.c, bsort_fun.c bsort_fun.h
  • Makefile

C/C++ Programming Basics

• Tutorial
• Topics:
  • C Basics, Pointers and Arrays, Dynamic Memory Allocation, Functions, Structures, read/write text/binary files
  • C++ Programming: Objects, operator overloading, functors
  • Use of makefiles for compilation

• 2D convolution (input matrix as textfile) code:
  • Source code: conv2.c, conv2_fun.c, conv2_fun.h
  • Input files: input.txt, sharpen_kernel.txt
  • Makefile
• Image convolution code:
  • Source code: imgconv.c, imgconv_fun.c, imgconv_fun.h
  • Input files: iss.bif, edge_kernel.txt
  • Makefile
  • MATLAB script: img_op.m, iss.jpg
• Classes Basics: class_samples.cpp, basic_constrs.cpp, basic_functors.cpp
• Classes: split into two files: simple.cpp, simple_fun.cpp, basic_functors.h Makefile
• Artificial Neuron: neuron_imp.cpp

Multi-threading (pthreads)

• Tutorial - Basic examples, Dot Product, 2D convolution
• Tutorial - Matrix multiplication
• Topics:
  • Basic examples: thread creation, usage of mutex
  • Dot Product using mutex
  • Condition variables
  • 2D convolution. Performance comparison with non-threaded case
  • Matrix multiplication. Performance comparison with non-threaded case
  • Fibonacci number computation. Performance comparison with non-threaded case

• Basic Examples - code:
  • Threads' generation: pthreads_example.c
  • Basic mutex example: mutex_exam.c
  • Dot product with mutex: dotprod.c
  • Conditon variables example: condvar.c
• 2D convolution (input matrix: text or binary file) code:
  • Source code: conv2m.c, conv2m_pthreads.c, conv2m_fun.c, conv2m_fun.h
  • Input files: input.txt sharpen_kernel.txt, iss.bif, kernel_a.txt, kernel_b.txt, kernel_c.txt
  • Makefile
  • MATLAB script: img_op_m.m, iss.jpg
• Matrix Multiplication code:
  • Source code: matrix_mult.c, matrix_mult_pthreads.c, matrix_mult_pthreads_old.c, mat_fun.c, mat_fun.h
  • Makefile
• Fibonacci number code:
  • Source code: fibonum.c, fibonum_fun.c, fibonum_fun.h
  • Makefile

Multi-core software development (TBB)

• Tutorial: TBB parallel_for
• Tutorial: TBB parallel_reduce
• Tutorial: TBB parallel_pipeline
• Topics:
  • Threading Building Blocks (TBB): parallel_for, parallel_reduce, parallel_pipeline

• Basic element-wise operations on vectors - parallel_for:
  • Squaring: basic.cpp
  • Ceiling: myceil.cpp
  • Multiply by constant: simple.cpp
• Moving average (window size = 3): mov_avg.cpp
• Element-wise add and multiply: vector_op.cpp
• Grayscale morphology (dilation/erosion) code:
  • Source code: morpho.cpp, morpho_fun.cpp, morpho_fun.h
  • Input file: uchip.bif
  • Makefile
  • MATLAB script: morpho.m, uchip.jpg

• Basic examples - parallel_reduce:
  • Accumulate elements of a vector: accum.cpp
  • Accumulate squared elements of a vector: accum_sq.cpp
• Computation of 'pi': mypi.cpp
• Dot Product:
  • Source code: dot_product.cpp, dot_product_fun.cpp, dot_product_fun.h
  • Makefile
• Get maximum value of each row in a matrix (parallel_for + parallel_reduce):
  • Source code: vm.cpp, vm_fun.cpp, vm_fun.h
  • Makefile
• Add a group of vectors element-wise (2 approaches: map + reduce, reduce): sumvecs.cpp

• Basic examples - parallel_pipeline:
  • Element-wise modulus of two vectors: pip_mod.cpp
  • Accumulate squared elements of a vector: pip_sumsq.cpp
  • Process a series of two vectors: powering and averaging: pip_avgvec.cpp

Real-Time Programming

• Tutorial
• Topics: Basic Mechanisms in Real-Time Programming
  • Handling signals: Setup and catch
  • Configure and test the Real-Time Clock

• Basic Examples - code:
  • Handling SIGINT signal: basic_sigint.c
  • Handling SIGALRM signal: basic_sigalrm.c
  • Real-Time Clock (RTC) Test: rtctst.c