文件列表:

Copyright (128, 2015-09-28)
LICENCE (10175, 2015-09-28)
Urutu (0, 2015-09-28)
Urutu\__init__.py (1140, 2015-09-28)
Urutu\cl (0, 2015-09-28)
Urutu\cl\__init__.py (22118, 2015-09-28)
Urutu\cl\blocks.py (1341, 2015-09-28)
Urutu\cl\declare.py (2961, 2015-09-28)
Urutu\cl\device.py (30, 2015-09-28)
Urutu\cl\execl.py (3566, 2015-09-28)
Urutu\cl\grammar.py (202, 2015-09-28)
Urutu\cl\threads.py (1290, 2015-09-28)
Urutu\cpu.py (3624, 2015-09-28)
Urutu\cu (0, 2015-09-28)
Urutu\cu\__init__.py (38533, 2015-09-28)
Urutu\cu\abstract.py (272, 2015-09-28)
Urutu\cu\blocks.py (1235, 2015-09-28)
Urutu\cu\declare.py (2943, 2015-09-28)
Urutu\cu\device.py (30, 2015-09-28)
Urutu\cu\dump.py (1748, 2015-09-28)
Urutu\cu\execu.py (2436, 2015-09-28)
Urutu\cu\grammar.py (201, 2015-09-28)
Urutu\cu\modules.py (793, 2015-09-28)
Urutu\cu\threads.py (1256, 2015-09-28)
samples (0, 2015-09-28)
samples\black_scholes.py (1693, 2015-09-28)
samples\count.py (406, 2015-09-28)
samples\csr_gpu.py (843, 2015-09-28)
samples\daxpy.py (355, 2015-09-28)
samples\daxpy_dp.py (345, 2015-09-28)
samples\dia_gpu.py (783, 2015-09-28)
samples\fft.py (592, 2015-09-28)
samples\image.jpg (119076, 2015-09-28)
samples\image_gpu.py (796, 2015-09-28)
samples\index.py (117, 2015-09-28)
samples\laplace.py (191, 2015-09-28)
samples\solve_poisson.py (629, 2015-09-28)
setup.py (350, 2015-09-28)
... ...

[Urutu](http://urutu.github.io) ======= A Python based parallel programming library for GPUs About ----- Urutu integrates CUDA and OpenCL into a single code. That is, write a single code in Python run it using CUDA or OpenCL or both. It is portable to different hardware and operating systems. System Requirements ------------------- - Windows, Ubuntu (tested), Mac - Python 2.7, GCC 4.6 - A GPU compatible with OpenCL or CUDA 5.0 - [PyOpenCL](http://mathema.tician.de/software/pyopencl) or [PyCUDA](http://mathema.tician.de/software/pycuda) installed Setup ------ ```shell $ git clone https://github.com/urutu/Urutu.git $ cd Urutu $ sudo python2 setup.py install ``` For installing with Python 3, install PyCUDA and PyOpenCL with Python 3. Then, clone this repository and use ```shell $ git clone https://github.com/urutu/Urutu.git $ 2to3 -w Urutu $ cd Urutu $ sudo python3 setup.py install ``` ======= Sample Code ----------- ```python from Urutu import * import numpy as np @Urutu("CL") def divmul(a, b, c, d): __global is x, y x = a[0:100] y = b[0:100] t, u, v, w = 10, 10.0, 'opencl', "open.cl" c[tx] = x[tx] / y[tx] d[tx] = x[tx] * y[tx] return c, d @Urutu("CU") def addsub(a, b, e, f): __shared is x , y x = a[0:100] y = b[0:100] t, u, v, w = 11, 11.0, 'cuda', "cu.da" e[tx] = x[tx] + y[tx] f[tx] = x[tx] - y[tx] return e, f a = np.random.randint(10, size = 100) b = np.random.randint(10, size = 100) c = np.array(a, dtype = 'f') d = np.empty_like(a) e = np.empty_like(a) f = np.empty_like(a) print "The Array A is: \n", a print "The Array B is: \n", b print "Running on OpenCL.. \n", divmul([100,1,1], [1,1,1], a, b, c, d) print "Running on CUDA.. \n", addsub([100,1,1], [1,1,1], a, b, e, f) ``` Keywords made available -------------------------- ```python and elif if not as else in or def for is return ```

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