Multiprocessing.dummy is exactly the same as multiprocessing module, but uses threads instead ( an important distinction - use multiple processes for CPU-intensive tasks threads for (and during) I/O): Parallel versions of the map function are provided by two libraries:multiprocessing, and also its little known, but equally fantastic step child:multiprocessing.dummy. Map handles the iteration over the sequence for us, applies the function, and stores all of the results in a handy list at the end. It is a function which maps another function over a sequence. For those unfamiliar, map is something lifted from functional languages like Lisp. Map is a cool little function, and the key to easily injecting parallelism into your Python code. Which is the multithreaded version of: results = Results = pool.map(my_function, my_array) I'll summarize below - it ends up being just a few lines of code: from multiprocessing.dummy import Pool as ThreadPool The code below comes from an article/blog post that you should definitely check out (no affiliation) - Parallelism in one line: A Better Model for Day to Day Threading Tasks. All other trademarks and copyrights are the property of their respective owners.Since this question was asked in 2010, there has been real simplification in how to do simple multithreading with Python with map and pool. NVIDIA, the NVIDIA logo, NVLink, OptiX, Quadro, Quadro RTX, and RTX are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. NVIDIA Quadro professional graphics solutions are recommended by Luxion KeyShot for the best rendering results. 3 Two Quadro RTX 8000 GPUs connected with NVIDIA NVLink® provide a combined 96 GB of total GPU 2 Quadro vDWS software is supported with NVIDIA Quadro RTX 60 GPUs. Learn more about Quadro RTX solutions at Learn more about Luxion KeyShot at ¹ Desktop and mobile rendering results are not directly comparable due to variance in system and CPU. Henrik Wann Jensen, Co-founder and Chief Scientist, Luxion With NVIDIA's RTX technology, GPU-accelerated hardware ray tracing and AI denoising, gigaray performance, NVIDIA Quadro GPUs with over 8GB of memory, and the free OptiX SDK, now is the time to do it." "Luxion has evaluated GPU rendering for several years. With up to 96 gigabytes (GB) of GPU memory available3, Quadro provides the power you need for your largest CAD design and rendering workloads. NVIDIA Quadro® provides a wide range of RTX-enabled solutions for desktop, mobile, server-based rendering, and virtual workstations with NVIDIA Quadro Virtual Data Center Workstation (Quadro vDWS) software2. Tests run on 2x Xeon old 6126 2 6 Hz (3 7 Hz Turbo), 256 B RAM, W n10圆4, KeyShot 9 1 Relat ve speedup across three models Performance results may vary depend ng on the scene Rendering Performance Increase on Quadro RTX GPUs Tests run on a mob le workstat on w th 7 10750H (2 6 Hz) w th UHD raph cs, 16 B RAM, runn ng W ndows 10 64-b t NVIDIA Dr ver 442 50 KeyShot 9 1 Performance results may vary depend ng on scene Rendering Performance Increase on NVIDIA Quadro Mobile GPUs >Seamless switching from CPU to GPU rendering >Real-time interactive rendering and faster batch and final-frame rendering >Real-time RTX ray tracing and NVIDIA® OptiXTM AI-accelerated denoising With up to 13X faster rendering performance than CPU-based solutions on desktop and up to 29X faster on mobile workstations1, RTX support provides incredible GPU-accelerated performance improvements for your rendering workloads, including: KeyShot® taps into the power of NVIDIA® Quadro RTXTM to accelerate production and interactive rendering. File Info : application/pdf, 1 Pages, 510.43KB Document Document proviz-print-keyshot-solution-brief-us-1232870-r5-web NVIDIA QUADRO RTX LUXION KEYSHOT
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