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Novell.Press.Linux.Kernel.Development
linux內(nèi)核開發(fā)的經(jīng)典書籍之一
The Linux kernel is one of the most interesting yet least understood open-source projects. It is also a basis for developing new kernel code. That is why Sams is excited to bring you the latest Linux kernel development information from a Novell insider in the second edition of Linux Kernel Development. This authoritative, practical guide will help you better understand the Linux kernel through updated coverage of all the major subsystems, new features associated with Linux 2.6 kernel and insider information on not-yet-released developments. You ll be able to take an in-depth look at Linux kernel from both a theoretical and an applied perspective as you cover a wide range of topics, including algorithms, system call interface, paging strategies and kernel synchronization. Get the top information right from the source in Linux Kernel Development
迷宮算法（maze）
/* Maze * Starting point is m[0][0], need to find a path go to m[9][9]. 0 means OK,
* 1 means cannot go there, boundary is 0 and 9, cannot go beyond boundary.
* Each step can be made horizontally or vertically for one more grid (diagonal
* jump is not allowed).
* Your program should print a series of grid coordinates that start from m[0][0]
* and go to m[9][9]
* Hint: No need to find the shortest path, only need to find one path that gets
* you to desitination.
*/
I always believe that one will easily lag behind unless he keeps on learning. Of course, if I am given a chance for advanced studies in this famous University , I will stare to effort to master a good command of advance my capability.
The code performs a number (ITERS) of iterations of the
Bailey s 6-step FFT algorithm (following the ideas in the
CMU Task parallel suite).
1.- Generates an input signal vector (dgen) with size
n=n1xn2 stored in row major order
In this code the size of the input signal
is NN=NxN (n=NN, n1=n2=N)
2.- Transpose (tpose) A to have it stored in column
major order
3.- Perform independent FFTs on the rows (cffts)
4.- Scale each element of the resulting array by a
factor of w[n]**(p*q)
5.- Transpose (tpose) to prepair it for the next step
6.- Perform independent FFTs on the rows (cffts)
7.- Transpose the resulting matrix
The code requires nested Parallelism.
