Pyopencl Elementwise

It includes a user guide, full reference documentation, a developer guide, meta information, and "NumPy Enhancement Proposals" (which include the NumPy Roadmap and detailed plans for major new features). 1 # SimpleSpeedTest. …Similar to PyCUDA, PyOpenCL provides the functionality…in the pyopencl. A short introduction to GPU Computing with CUDA. If you find this guide useful, please consider donating. This example calculates the 3D euclidean distance over a set of points from a single point using an ElementWise kernel. PyOpenCL (Klöckner et al. No estoy seguro de si se trata de un problema con OpenCL o PyOpenCL. Axis or axes along which a sum is performed. py using the networks listed on Soumith Chintala's benchmarking page. ocl_api() call is the only place where OpenCL is mentioned, and if you replace it with cluda. 7/bpl-subset/bpl_subset/libs. Interpretado. Generated SPDX for project pyopencl by adityaatluri in https://github. Maybe it helps with other systems as well. elementwise class that allows us to evaluate the complicated expressions in a single computational pass. Here is the second lesson from my PyOpenCL Inline-Comments Tutorial. Please consider this page as a crude stub. If axis is negative it counts from the last to the first axis. operation: This is the operation that is to be executed on the specified arguments. Barratt" Re: Fixes for python-pyopencl and new upsteam release. If you would like to use your own (struct/union/whatever) data types in array operations where you supply operation source code, define those types in the preamble passed to pyopencl. org nbviewer. The introduction to OpenCl course. Sign In Sign Up Sign In Sign Up Manage this list. curandom import rand as curand 5 6 a_gpu = curand ((50,)) 7 b_gpu = curand ((50,)) 8 9 from pycuda. I will give 50 BTC to the person who will write a comprehensive tutorial on starting to mine using ATI GPUs on Ubuntu. If you find this guide useful, please consider donating. elementwise module that allows you to build kernels that evaluate multi-stage expressions on one or more operands in a single and efficient pass, avoiding the creation of temporary intermediate results that reduce overall throughput. and using PyOpenCL to then implement it. pypyopencl/_pvt_struct. From: Tomasz Rybak Re: Fixes for python-pyopencl and new upsteam release. This is our fifth video, evaluating Element-wise expressions with PyCUDA. elementwise 中的功能包含有助于生成内核的工具,这些内核在一 博文 来自: 云中寻雾的博客. 系列报道——PyOpenCL介绍. PyOpenCL provides a pyopencl. Evaluating element-wise expressions with PyOpenCl Similar to PyCUDA, PyOpenCL provides the functionality in the pyopencl. -Then we can proceed as usual for elementwise. 1 release happened yesterday), I'll try to move to smaller, more frequent releases in the future. First : Stripe domain converges to a single orientation in frequency space, while Second : Hexagon forming domain converged to. pgf90 - acc code_acc. pyOpenCL/pyCUDA[10] provides tools for interfacing a high abstraction front-end language with kernels written for specific potentially exotic hardware. [PyCUDA] Elementwise operations on noncontiguous arrays Keegan Owsley Re: [PyCUDA] Elementwise operations on noncontiguous arrays Andreas Kloeckner Re: [PyCUDA] Elementwise operations on noncontiguous arrays Keegan Owsley. elementwise class…that allows us to evaluate the. CUDA Math API The CUDA math API. First, refer to the general Linux Installation Page for general procedure and prerequisites. pythonxy - 加快windows上python模块安装和模块选择 2013-11-13 磁针石 #承接软件自动化实施与培训等gtalk:ouyangchongwu#gmail. pypyopencl/cache. -This doesn't fit the rules for elementwise operations since both objects do not have the same number of elements. elementwise class that allows us to evaluate the complicated expressions in a single computational pass. …In this video, we'll evaluate the linear combination…of the vectors to use ElementwiseKernel call. Chetlur, Sharan, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, and Evan Shelhamer. pptx), PDF File (. Python: Programming for Python Users is Packt's Video Learning Path that is a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. You can vote up the examples you like or vote down the ones you don't like. For the below dot product code I'm getting fairly different results between the GPU and CPU versions. pypyopencl/cache. PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation Parallel Computing, Volume 38, Issue 3, March 2012, Pages 157-174. This is the bug tracker for the Python Package Index (PyPI), not for any individual package. Maybe it helps with other systems as well. DTU GPU-Lab PyOpenCL Workshop (A. Let's go through them again. The first thing to realise when trying to port a code to a GPU is that they do not share the same memory as the CPU. pdf), Text File (. General idea Load both images as arrays ( scipy. elementwise module that allows you to build kernels that evaluate multi-stage expressions on one or more operands in a single and efficient pass, avoiding the creation of temporary intermediate results that reduce overall throughput. Compute multiplication by a scalar, elementwise. xz for Arch Linux from Arch Linux Community repository. I have recently tried to port the simulation program I am working on from Cuda to OpenCL and it became about ten times slower. [Harvard CS264] 10a - Easy, Effective, Efficient: GPU Programming in Python with PyOpenCL and PyCUDA (Andreas Kloeckner, NYU) 1. C-level GPU RTCG is shown to be a good building block for higher-level abstractions. [PyCUDA] Elementwise operations on noncontiguous arrays Keegan Owsley Re: [PyCUDA] Elementwise operations on noncontiguous arrays Andreas Kloeckner Re: [PyCUDA] Elementwise operations on noncontiguous arrays Keegan Owsley. int8 and uint8: in elementwise and as input to the first convolutional layer. 5 provided by Anaconda. com/adityaatluri/pyopencl. Sign In Sign Up Sign In Sign Up Manage this list. The software is designed to compute a few (k) eigenvalues with user specified features such as those of largest real part or largest magnitude. qboosh Sun, 15 Mar 2015 07:21:43 -0700. High-level scripting code is complementary to high-performance GPU code. -This doesn't fit the rules for elementwise operations since both objects do not have the same number of elements. free to use on any platform [28]. I take this excellent suggestion as an excuse to review several ways of computing the Mandelbrot set in Python using vectorized code and gpu computing. PyOpenCLによるGPGPU入門 Tokyo. This will execute the elementwise operation in parallel using OpenMP with Cython. scan import ExclusiveScanKernel from pyopencl. Bug#767148: linux-image-3. f90 -Minfo=accel will create an executable with name a. The introduction to OpenCl course. c -Minfo=accel For fortran program:. What am I doing wrong? The difference of ~0. mimetypeMETA-INF/container. Intro PyOpenCL RTCG Perspectives Easy, Effective, Efficient: GPU Programming in Python with PyOpenCL and PyCUDA Andreas Kl¨ckner o Courant Institute of Mathematical Sciences New York University March 31, 2011 Andreas Kl¨ckner o GPU-Python with PyOpenCL and PyCUDA. KITE OpenCL Course - Free ebook download as Powerpoint Presentation (. This page deals particularly with SuSE pecularities I encountered. 7/bpl-subset/bpl_subset/libs. - [Presenter] In our previous video,…we saw how to build a PyOpenCL application. Installation Experience of pyCuda on SuSE_11. PyCuda/Examples/GpuScalarMult (last edited 2014-12-15 23:23:11 by ::ffff:205). Evaluating element-wise expressions with PyOpenCl Similar to PyCUDA, PyOpenCL provides the functionality in the pyopencl. -Then we can proceed as usual for elementwise. pyGPU-DG Easy, E ective, E cient: GPU Programming in Python with PyOpenCL and PyCUDA Andreas Kl ockner Courant Institute of Mathematical Sciences. 1 import pycuda. ReductionKernel (or similar), and let PyOpenCL know about them using this function:. This is, once again, a rather big release. com - EuroPy 2011 • elementwise requires C thinking. Code writes CodeInteractingPyCUDALoo. We will see how to do that in this video. mimetypeMETA-INF/container. 7/bpl-subset/bpl_subset/libs. GPU and MIC programming (using python, R and MATLAB) * pyOpenCL parfor, spmd from pycuda. 10 in summary. By default, reverse the dimensions, otherwise permute the axes according to the values given. Mature: theano has been developed and used since January 2008 (3. communicate() - which returns buffer, > not string. His areas of interest are compilers, drivers, physically based rendering, and real-time rendering. 1 # SimpleSpeedTest. 先述のリダクションのように効率よく並列できるパターンというのがいくつかあります。PyOpenCLではそういったパターンの内Elementwise(transform)、Reduction、Scanについてメタプログラミングの仕組みが提供されています。. Calculate the norm of the difference. Magnitudes of Fourier Coefficients for evolution of Wilson-Cowen Pattern formation undergoing periodic stimulation. x*y/x -> y, --x -> x) • inserting efficient BLAS operations (e. PyOpenCL provides a pyopencl. PyOpenCL provides the functionality in the pyopencl. ' & $ % Strides Strides is a way to specify how much memory to skip between each. elementwise. You can vote up the examples you like or vote down the ones you don't like. Performance. 6 LISA lab, University of Montreal November 21, 2014 CONTENTS i ii theano Documentation, Release 0. imread ) and calculate an element-wise difference. Chetlur, Sharan, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, and Evan Shelhamer. You will see how to do that in this video. Kernels there do not have any Cuda-specific optimizations, just a bunch of elementwise additions, multiplications and trigonometric functions. I checked the performance of trigonometric functions alone, it seems to be fine. Paper to GPU: Optimizing and executing discontinuous Galerkin operators in Python Andreas Kl ockner Courant Institute of Mathematical Sciences New York University March 1, 2011 Andreas Kl ockner Paper to GPU: Optimizing and executing DG operators. cuda_api() it will be enough to make the code use CUDA. Our kernels have some additional useful features: 3D convolutions and 4D pooling (including output feature map dim) optional ReLu is builtin to GEMM and convolution operations, stochastic rounding support for fp16 3,. Estoy feliz por todas las sugerencias. pdf), Text File (. - [Instructor] In our previous video, we saw…how to invoke kernel with GPU array. ARPACK software is capable of solving large scale symmetric, nonsymmetric, and generalized eigenproblems from significant application areas. I will give 50 BTC to the person who will write a comprehensive tutorial on starting to mine using ATI GPUs on Ubuntu. I have recently tried to port the simulation program I am working on from Cuda to OpenCL and it became about ten times slower. It was from this need to stay scientifically current, while. Evaluating element-wise expressions with PyOpenCl Similar to PyCUDA, PyOpenCL provides the functionality in the pyopencl. astype (numpy. They are extracted from open source Python projects. txt) or view presentation slides online. elementwise import ElementwiseKernel 10 lin_comb = ElementwiseKernel (11 " float a, float *x, float b, float *y, float *z ", 12 " z[i] = a*x[i] + b*y[i. Bug#767148: linux-image-3. This guide is for v2. pyopencl / examples / demo_elementwise_complex. Initially I implemented the complex elementwise multiplication operation in Theano myself. 150 with research background since. pypyopencl/array. CUDA Driver API The CUDA driver API. 1 import pycuda. Chetlur, Sharan, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, and Evan Shelhamer. PyOpenCLによるGPGPU入門 Tokyo. Aquí está mi ejemplo, con un mínimo de salida. comqq 37391319. 1 contributor. elementwise. Installation Experience of pyCuda on SuSE_11. from bpl-subset/bpl_subset/boost/python/detail/prefix. elementwise import ElementwiseKernel from pyopencl. The code is auto-generated, compiled and called for you transparently. The first time this runs, it will take a bit of time to compile everything but the next time, this is cached and will run much faster. Maybe it helps with other systems as well. More than 1 year has passed since last update. pgf90 - acc code_acc. pypyopencl/capture. The software is designed to compute a few (k) eigenvalues with user specified features such as those of largest real part or largest magnitude. PyOpenCL and PyCUDA can be used in a large number of roles, for example as a prototyping and exploration tool, to help with optimization, as a bridge to the GPU for existing legacy codes (in Fortran, C, or other languages), or, perhaps most excit- ingly, to support an unconventional hybrid way of writing high-performance codes, in which a high. randn (400) 8 + 1j * numpy. You can vote up the examples you like or vote down the ones you don't like. Download python-pyopencl-1:2019. 1-1 File List. PyOpenCLによるGPGPU入門 Tokyo. pypyopencl/_pvt_struct. 10 in summary. xhtmlindex. [Harvard CS264] 10a - Easy, Effective, Efficient: GPU Programming in Python with PyOpenCL and PyCUDA (Andreas Kloeckner, NYU) 1. axes: list of ints, optional. 系列报道——PyOpenCL介绍. Ask Question Asked 5 years, 2 months ago. …In this video, we'll see how to add two integer vectors…of 100 elements using ElementwiseKernel class. urn:oasis:names:tc:opendocument:xmlns:container content. No estoy seguro de si se trata de un problema con OpenCL o PyOpenCL. If you find this guide useful, please consider donating. CUDA Driver API The CUDA driver API. Please contact the authors of the package for bugs in the package. Ask Question Asked 5 years, 2 months ago. urn:oasis:names:tc:opendocument:xmlns:container content. Intro PyOpenCL RTCG Perspectives Easy, Effective, Efficient: GPU Programming in Python with PyOpenCL and PyCUDA Andreas Kl¨ckner o Courant Institute of Mathematical Sciences New York University March 31, 2011 Andreas Kl¨ckner o GPU-Python with PyOpenCL and PyCUDA. Initialization and data array declaration: Kernel declaration and execution. driver as cuda 2 import pycuda. High Performance Computing with Python (4 hour tutorial) • pyOpenCL. 先述のリダクションのように効率よく並列できるパターンというのがいくつかあります。PyOpenCLではそういったパターンの内Elementwise(transform)、Reduction、Scanについてメタプログラミングの仕組みが提供されています。. elementwise. Trying to solve your problem without ElementWise will help you understand where your data is at all times, how to manage your queue, and when to copy your memory to and from the host. In the same spirit as PyOpenCL (whose 2011. Like many similar institutions around the world, financial restrictions play a significant role in limiting what tools are available to scientists. Documentation¶. pgcc - acc code_acc. Discontinuous Galerkin, Python, and GPUs: the 'hedge' solver package Andreas Kl ockner Courant Institute of Mathematical Sciences New York University May 22, 2011 Andreas Kl ockner DG, Python, and GPUs. Please consider this page as a crude stub. randn (400) 8 + 1j * numpy. pypyopencl/_mymako. Sign In Sign Up Sign In Sign Up Manage this list. The functionality in the module pyopencl. Generated SPDX for project pyopencl by adityaatluri in https://github. 2/25 Theano:ACPU and GPU Math Expression Compiler James Bergstra, Olivier Breuleux, Frederic Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph Turian, Yoshua Bengio. This Learning Path first introduces the Unity engine. If you are only going to execute code on a CPU then all you need is Cython. Initialization and data array declaration: Kernel declaration and execution. scan import InclusiveScanKernel import numpy context = pyopencl. Python: Programming for Python Users is Packt's Video Learning Path that is a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. This course provides extensive coverage of synchronizing processes, streamlining communication, reducing operations, and optimizing code so you can select and implement the right parallel processing solutions for your applications. PyOpenCLによるGPGPU入門 Tokyo. x*y/x -> y, --x -> x) • inserting efficient BLAS operations (e. Back to Package. elementwise import ElementwiseKernel from pyopencl. int8 and uint8: in elementwise and as input to the first convolutional layer. creating build/temp. well, hexagons. GPU ScriptingPyOpenCLNewsRTCGShowcase Outline 1 Scripting GPUs with PyCUDA 2 PyOpenCL 3 The News 4 Run-Time Code Generation 5 Showcase Andreas Kl ockner PyCUDA: Even. elementwise import ElementwiseKernel. 6 Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Barratt" Re: Fixes for python-pyopencl and new upsteam release. linux-x86_64-2. Universidad de Oviedo Departamento de Informática CURSO 2000−2001 EXAMEN de Febrero (7−2−2001). PyOpenCL provides the functionality in the pyopencl. class pyopencl. Paper to GPU: Optimizing and executing discontinuous Galerkin operators in Python Andreas Kl ockner Courant Institute of Mathematical Sciences New York University March 1, 2011 Andreas Kl ockner Paper to GPU: Optimizing and executing DG operators. Package has 113 files and 18 directories. randn (400) 8 + 1j * numpy. Chetlur, Sharan, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, and Evan Shelhamer. Python(x,y) is now available in two versions: Full Edition (all Python packages are installed) and Basic Edition (with essential Python libraries only: PyQt4, NumPy, SciPy, IPython and matplotlib) SWIG 1. I will specifically have a look at Numpy, NumExpr, Numba, Cython, TensorFlow, PyOpenCl, and PyCUDA. Some of the kernel templates include Elementwise, Scan, Reduce, and RadixSort, all of which use pre x sums except for the Elementwise kernel. 0 x86_64 Architecture. ElementWise is just some syntactic sugar that can confuse the true nature of what PyOpenCL is doing. Estoy tratando de poner en práctica elementwise multiplicar con PyOpenCL, pero cuando leí el buffer resultado de PyOpenCL, sólo los primeros 3 de 8 filas son correctos. elementwise 中的功能包含有助于生成内核的工具,这些内核在一 博文 来自: 云中寻雾的博客. net Mailing Lists. Introduction to openCL OpenCL programming. SciPy#4 編 @_likr O SlideShare utiliza cookies para otimizar a funcionalidade e o desempenho do site, assim como para apresentar publicidade mais relevante aos nossos usuários. elementwise class that allows us to evaluate the complicated expressions in a single computational pass. pypyopencl/_mymako. Ian@IanOzsvald. So we make virtual copies of b along the last dimension until it has the same size as A. Generated SPDX for project pyopencl by adityaatluri in https://github. I have recently tried to port the simulation program I am working on from Cuda to OpenCL and it became about ten times slower. I take this excellent suggestion as an excuse to review several ways of computing the Mandelbrot set in Python using vectorized code and gpu computing. [PyCUDA] Elementwise operations on noncontiguous arrays Keegan Owsley Re: [PyCUDA] Elementwise operations on noncontiguous arrays Andreas Kloeckner Re: [PyCUDA] Elementwise operations on noncontiguous arrays Keegan Owsley. Please contact the authors of the package for bugs in the package. Extra features. elementwise import ElementwiseKernel 10 lin_comb = ElementwiseKernel (11 " float a, float *x, float b, float *y, float *z ", 12 " z[i] = a*x[i] + b*y[i. The most up-to-date NumPy documentation can be found at Latest (development) version. …The PyCUDA. A detailed list of changes is below. 6 LISA lab, University of Montreal November 21, 2014 CONTENTS i ii theano Documentation, Release 0. Back to Package. 该文档贡献者很忙,什么也没留下。. Anaconda Documentation ipython. KITE OpenCL Course - Free ebook download as Powerpoint Presentation (. 1 # SimpleSpeedTest. ' & $ % Strides Strides is a way to specify how much memory to skip between each. from bpl-subset/bpl_subset/boost/python/detail/prefix. elementwise module that allows you to build kernels that evaluate multi-stage expressions on one or more operands in a single and efficient pass, avoiding the creation of temporary intermediate results that reduce overall throughput. Storage requirements are on the order of n*k locations. curandom import rand as curand 6 7 a = (numpy. Theano at a Glance¶ Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy. The functionality in the module pyopencl. [4] Elementwise Expression Evaluation According to the PyOpenCL documentation, the kernel builder for an element-wise operation will evaluate expressions through one or more operations across each. 该文档贡献者很忙,什么也没留下。. Unexpected behavior from PyOpenCL (self. python-pyopencl 1:2019. autoinit 3 import numpy 4 from pycuda. axes: list of ints, optional. …In this video, we'll see how to add two integer vectors…of 100 elements using ElementwiseKernel class. pyGPU-DG Easy, E ective, E cient: GPU Programming in Python with PyOpenCL and PyCUDA Andreas Kl ockner Courant Institute of Mathematical Sciences. 单通自定义表达式评估评估GPUArray实例上涉及的表达式可能有些低效,因为为每个中间结果创建了一个新的临时表。模块pycuda. PyOpenCLによるGPGPU入門 Tokyo. Some of the kernel templates include Elementwise, Scan, Reduce, and RadixSort, all of which use pre x sums except for the Elementwise kernel. Using Theano it is possible to attain speeds rivaling hand-crafted C implementations for problems involving large amounts of data. In the same spirit as PyOpenCL (whose 2011. xhtmlindex. elementwisekernel function…allows us to execute the kernel on complex expessions…that are made of one. The two scripts in this lesson show ways to sum arrays on the GPU. …This is our fifth video,…evaluating Element-wise expressions with PyCUDA. From: Tomasz Rybak Re: Fixes for python-pyopencl and new upsteam release. Calculate the norm of the difference. - [Instructor] In our previous video, we saw…how to invoke kernel with GPU array. 折角、GTX1070を購入したのでpythonでCUDAにトライしてみようと思って環境を準備したら、意外とはまったので。 ほぼ自分のインストールメモで文字しかないですが参考になれば。 a_doubled = (2. For more complicated modules like convolutional layers with multiple input output feature maps, the function evaluation pass is parallelized over output feature maps so that every output feature is calculated in parallel. …In this video, we'll see how to add two integer vectors…of 100 elements using ElementwiseKernel class. High-level scripting code is complementary to high-performance GPU code. Fixes for python-pyopencl and new upsteam release. elementwise import ElementwiseKernel 10 lin_comb = ElementwiseKernel (11 " float a, float *x, float b, float *y, float *z ", 12 " z[i] = a*x[i] + b*y[i. If this is a bottleneck for you when you profile your Theano graph, I can. If you would like to use your own (struct/union/whatever) data types in array operations where you supply operation source code, define those types in the preamble passed to pyopencl. Interpretado. PyOpenCL provides a pyopencl. from bpl-subset/bpl_subset/boost/python/detail/prefix. Segmentation fault (core dumped). The functionality in the module pyopencl. Producido para tener alta legibilidad y alta productividad. // This file is available for inclusion in pyopencl kernels and provides // complex types 'cfloat_t' and 'cdouble_t', along with a number of special // functions as visible below, e. Some of the kernel templates include Elementwise, Scan, Reduce, and RadixSort, all of which use pre x sums except for the Elementwise kernel. So we make virtual copies of b along the last dimension until it has the same size as A. Your message dated Mon, 26 May 2014 18:35:48 +0000 with message-id and subject line Bug#745194: fixed in pyopencl 2013. 1 - added doc patch - build also python3 module. 4 of AMD's SDK which supports 6xxxx series cards. 16-3-amd64: OpenCL doesn't work on Intel GPU. randn (400) 8 + 1j * numpy. Scripting is done with the PyOpenCL package, providing readability and convenience with virtually no sacrifice in performance of the OpenCL API [16]. communicate() - which returns buffer, > not string. Bug#767148: linux-image-3. From: Tomasz Rybak Re: Fixes for python-pyopencl and new upsteam release. txt) or view presentation slides online. CUDA Math API The CUDA math API. class pyopencl. For example, much of PyCUDA's initial feature set emerged in support of an effort to bring discontinuous Galerkin methods onto the GPU, as discussed elsewhere in this volume. CUDA Driver API The CUDA driver API. astype(numpy. 0 x86_64 Architecture. General idea Load both images as arrays ( scipy. The performant code is available for public use, distribution, and modification [18]. 1 import pycuda. well, hexagons. Python使用pyopencl在GPU上并行处理批量判断素数。OpenCL(Open Computing Language)是跨平台的并行编程标准,可以运行在个人电脑、服务器、移动终端以及嵌入式系统等多种平台,既可以运行在CPU上又可以运行于GPU上,大幅度提高了各类应用中的数据处理速度,包括游戏、娱乐、医学软件以及科学计算等等。. gpuarray as gpuarray 2 import pycuda. communicate() - which returns buffer, > not string. But before all that, witch case of advanced indexing do you need John? only var[[2,54,6]]? If yes, it is already implemented on the gpu. No estoy seguro de si se trata de un problema con OpenCL o PyOpenCL. High Performance Computing with Python (4 hour tutorial) • pyOpenCL. I'm trying to get started with pyOpenCL and GPGPU in general. Summing an array is like a "Hello World" for GPU programming - this is about the simplest program you can write. pypyopencl/array. About the Reviewers Aditya Avinash is a graduate student who focuses on computer graphics and GPUs. com 9 10 # Using a WinXP Intel Core2 Duo 2.