还需要一个合适的 Python 2.7 安装(如 Anaconda Python 2.7),并安装了 PyCUDA 模块。 本章的代码也可以在 GitHub 上找到:github.com/PacktPublishing/Hands-On-GPU-Programming-with-Python-and-CUDA。 有关先决条件的更多信息,请查看本书的前言,有关软件和硬件要求,请查看github.com/PacktPublishing/Hands-On-GP...
我们先看一下 Python 的内置函数 map。 第一个参数 function 以参数序列中的每一个元素调用 function 函数,返回包含每次 function 函数返回值的迭代器(Python2 中 map 输出的是列表),我们用 list() 把迭代器转换为列表观察结果。 list(map(lambdax: x + 10, [1, 2, 3, 4, 5])) 输出: [11, 12, ...
使用 Bend,你可以为多核 CPU/GPU 编写并行代码,而无需成为具有 10 年经验的 C/CUDA 专家,感觉就像 Python 一样! 是的,Bend 采用了 Python 语法。 与CUDA、Metal 等低级替代方案不同,Bend 具有 Python、Haskell 等表达性语言的功能,包括快速对象分配、完全闭包支持的高阶函数、无限制的递归,甚至 continuation。
Covered GPU tech:Python Jupyter Notebooks, BlazingSQL, cuDF (DataFrames), cuML, Apache Arrow, Dask, cuXFilter, Datashader, Matplotlib... OPTIONAL LIVE LAB (1hr): Load and explore large file using GPUs Emphasis on cuDF and SQL Tech: Jupyter, cuDF, BlazingSQL, Dask, cuML, Datashader ...
Taichi Lang is an open-source, imperative, parallel programming language for high-performance numerical computation. It is embedded in Python and uses just-in-time (JIT) compiler frameworks, for example LLVM, to offload the compute-intensive Python code to the native GPU or CPU instructions. ...
Numba: High-Performance Python with CUDA Acceleration Numba provides Python developers with an easy entry into GPU-accelerated computing and a path for using increasingly sophisticated CUDA code with a minimum of new syntax and jargon. Read the blog Numba Tutorial for CUDA Check out the Numba tut...
Dr. Brian Tuomanen创作的计算机网络小说《Hands-On GPU Programming with Python and CUDA》,已更新0章,最新章节:。Hands-OnGPUProgrammingwithPythonandCUDAhitsthegroundrunning:you’llstartbylearninghowtoapplyAmdahl’sLaw,useacodeprofilert...
accelerated computing and for using increasingly sophisticated CUDA code with a minimum of new syntax and jargon. With CUDA Python and Numba, you get the best of both worlds: rapid iterative development with Python combined with the speed of a compiled language targeting both CPUs and NVIDIA GPUs...
# PythondefReplace(vec,old_value,new_value):... // C#usingThrustRTCLR;namespaceThrustRTCSharp{publicpartialclassTRTC{...publicstaticboolReplace(DVVectorLikevec,DeviceViewableold_value,DeviceViewablenew_value)...}} // JAVApackageJThrustRTC;publicclassTRTC{...publicstaticbooleanReplace(DVVectorLikevec...
How to install Numba if you're using Conda Measuring performance on your CPU vs GPU When to use GPU acceleration in Python In the ever-changing programming world, graphics cards have become increasingly important, allowing programmers to compute data faster. Before this,great CPUswere the main co...