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(committing very old stuff) No clue what has changed

master
Joshua Moerman 9 years ago
parent
commit
553eff00e3
  1. 9
      wavelet/jcmp.cpp
  2. 3
      wavelet/wavelet_2.hpp
  3. 15
      wavelet/wavelet_parallel.hpp
  4. 2
      wavelet/wavelet_parallel_mockup.cpp
  5. 1
      wavelet_report/conc.tex
  6. 4
      wavelet_report/report.tex

9
wavelet/jcmp.cpp

@ -109,14 +109,15 @@ int main(){
// compress and decompress to see how we lost information // compress and decompress to see how we lost information
unsigned int nzeros = 0; unsigned int nzeros = 0;
auto compressed_vec = decompress(compress(image_vec, width, 0.5, nzeros)); auto compressed_vec = decompress(compress(image_vec, width, 5.0, nzeros));
// output some information // output some information
std::cout << field("raw") << human_string(sizeof(uint8_t) * image_vec.size(), "b") << std::endl; std::cout << field("raw") << width*height << std::endl;
std::cout << field("compressed") << human_string(sizeof(jcmp::coefficient) * nzeros, "b") << std::endl; std::cout << field("compressed") << nzeros/double(width*height) << std::endl;
std::cout << field("nz") << nzeros << std::endl;
// save to output file // save to output file
std::string cfilename = "compressed/" + path.filename().string(); std::string cfilename = "compressed/" + std::to_string(nzeros) + path.filename().string();
png::gray_ostream compressed_image(width, height, cfilename); png::gray_ostream compressed_image(width, height, cfilename);
for(unsigned int i = 0; i < compressed_vec.size(); ++i) compressed_image << compressed_vec[i]; for(unsigned int i = 0; i < compressed_vec.size(); ++i) compressed_image << compressed_vec[i];
} }

3
wavelet/wavelet_2.hpp

@ -42,7 +42,8 @@ namespace wvlt{
// x1 and x2 are next elements, or wrap around // x1 and x2 are next elements, or wrap around
// calculates size/stride elements of the output // calculates size/stride elements of the output
inline void wavelet_mul(double* x, double x1, double x2, unsigned int size, unsigned int stride){ inline void wavelet_mul(double* x, double x1, double x2, unsigned int size, unsigned int stride){
assert(x && is_even(size) && is_pow_of_two(stride) && 4*stride <= size); assert(x && is_even(size) && is_pow_of_two(stride) && 2*stride <= size);
if(4*stride <= size)
wavelet_mul_base(x, size, stride); wavelet_mul_base(x, size, stride);
unsigned int i = size - 2*stride; unsigned int i = size - 2*stride;

15
wavelet/wavelet_parallel.hpp

@ -36,7 +36,7 @@ namespace wvlt {
unsigned int n, b, m, Cm, small_steps, big_steps, remainder; unsigned int n, b, m, Cm, small_steps, big_steps, remainder;
plan_1D(unsigned int n_, unsigned int b_, unsigned int m_) plan_1D(unsigned int n_, unsigned int b_, unsigned int m_)
: n(n_), b(b_), m(m_), Cm(pow_two(m+1) - 2), small_steps(two_log(b) - 1), big_steps(small_steps/m), remainder(small_steps - m*big_steps) : n(n_), b(b_), m(m_), Cm(pow_two(m+1) - 2), small_steps(two_log(b)), big_steps((small_steps-1)/m), remainder(small_steps - m*big_steps)
{} {}
}; };
@ -81,20 +81,19 @@ namespace wvlt {
// First do the local part // First do the local part
base(d, plan, x, next, plan.b); base(d, plan, x, next, plan.b);
// we only have to finish centralized if p >= 4
if(d.p <= 2) return;
// Then do a fan in (i.e. 2 elements to proc zero) // Then do a fan in (i.e. 2 elements to proc zero)
for(unsigned int i = 0; i < 2; ++i){ bsp::put(0, x, proczero, d.s);
bsp::put(0, &x[i * plan.b/2], proczero, d.s * 2 + i);
}
bsp::sync(); bsp::sync();
// proc zero has the privilige/duty to finish the job // proc zero has the privilige/duty to finish the job
if(d.s == 0) { if(d.s == 0) {
wvlt::wavelet(proczero, 2*d.p, 1); wvlt::wavelet(proczero, d.p, 1);
// and to send it back to everyone // and to send it back to everyone
for(unsigned int t = 0; t < d.p; ++t){ for(unsigned int t = 0; t < d.p; ++t){
for(unsigned int i = 0; i < 2; ++i){ bsp::put(t, &proczero[t], x);
bsp::put(t, &proczero[t*2 + i], x, i * plan.b/2);
}
} }
} }
} }

2
wavelet/wavelet_parallel_mockup.cpp

@ -57,7 +57,7 @@ static void par_wavelet(){
// For convenience and consistency we use std::vector // For convenience and consistency we use std::vector
std::vector<double> x(plan.b, 0.0); std::vector<double> x(plan.b, 0.0);
std::vector<double> next(plan.Cm, 0.0); std::vector<double> next(plan.Cm, 0.0);
std::vector<double> proczero(d.s == 0 ? 2*d.p : 1, 0.0); std::vector<double> proczero(d.s == 0 ? d.p : 1, 0.0);
bsp::push_reg(x.data(), x.size()); bsp::push_reg(x.data(), x.size());
bsp::push_reg(next.data(), next.size()); bsp::push_reg(next.data(), next.size());

1
wavelet_report/conc.tex

@ -12,3 +12,4 @@ As for the application of image compression, we have seen that the wavelets capt
\includegraphics[width=0.3\textwidth]{parijs.png} \includegraphics[width=0.3\textwidth]{parijs.png}
\caption{My girlfriend and I in Paris. Still romantic with only 200 coefficients.} \caption{My girlfriend and I in Paris. Still romantic with only 200 coefficients.}
\end{figure} \end{figure}
\vspace{3cm}

4
wavelet_report/report.tex

@ -21,7 +21,9 @@ In this paper we will derive a parallel algorithm to perform a Daubechies wavele
\include{par} \include{par}
\include{img} \include{img}
\include{res} \include{res}
\include{conc}
\newpage
\input{conc}
\nocite{*} \nocite{*}