Changkun Ou. 2023. Go on GPU. GopherChina 2023. Session "Foundational Toolchains" Go on GPU Changkun Ou changkun.de/s/gogpu GopherChina 2023 Session “Foundational Toolchains” 2023 June 10 1 Changkun Ou. 2023. Go on GPU. GopherChina 2023. Session "Foundational Toolchains" Agenda ● Basic knowledge for interacting with GPUs ● Accelerate Go programs using GPUs ● Challenges in Go when using outlooks 2 Changkun Ou. 2023. Go on GPU. GopherChina 2023. Session "Foundational Toolchains" Agenda ● Basic knowledge for interacting with GPUs ○ Motivation ○ GPU Driver and Standards ○ Render and

INDUSTRIES, INCORPORATED ACCELERATED VISUAL PERCEPTION LIANGFU CHEN 11/16/2019 DEPLOY VTA ON INTEL FPGA©2019 HARMAN INTERNATIONAL INDUSTRIES, INCORPORATED 2 Moore’s Law is Slowing Down MOTIVATION©2019 Terasic DE10-Nano DEPLOY VTA ON INTEL FPGA©2019 HARMAN INTERNATIONAL INDUSTRIES, INCORPORATED 5 Software - CMA Contiguous Memory Allocation – Linux Kernel DEPLOY VTA ON INTEL FPGA https://pynq.readthedocs INCORPORATED 6 Software - CMA Contiguous Memory Allocation – Linux Kernel Module DEPLOY VTA ON INTEL FPGA Setup Environment Variables Navigate to 3rdparty/cma and build kernel module Copy kernel module

1/66Bridging the Gap: Writing Portable Programs for CPU and GPU using CUDA Thomas Mejstrik Sebastian Woblistin 2/66Content 1 Motivation Audience etc.. Cuda crash course Quiz time 2 Patterns Oldschool Motivation Patterns The dark path Cuda proposal Thank you Why write programs for CPU and GPU Difference CPU/GPU Algorithms are designed differently Latency/Throughput Memory bandwidth Number of cores Motivation Patterns The dark path Cuda proposal Thank you Why write programs for CPU and GPU Difference CPU/GPU Why it makes sense? Library/Framework developers Embarrassingly parallel algorithms User

http://wongmichael.com/about ● C++11 book in Chinese: https://www.amazon.cn/dp/B00ETOV2OQ We build GPU compilers for some of the most powerful supercomputers in the world 34 Nevin “:-)” Liber nliber@anl Attribution 4.0 International License SYCL Single Source C++ Parallel Programming GPU FPGA DSP Custom Hardware GPU CPU CPU CPU Standard C++ Application Code C++ Libraries ML Frameworks give better performance on complex apps and libs than hand-coding AI/Tensor HW GPU FPGA DSP Custom Hardware GPU CPU CPU CPU AI/Tensor HW Other BackendsSYCL 2020 is here! Open Standard for

performance claims, visit www.intel.com/PerformanceIndex or scan the QR code: © Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries about future Intel products. - I work in Intel’s research labs. Work described here will involve experimental prototypes and early research.Problem: writing parallel programs is hard - Multi-GPU, multi-CPU / execution necessary. CPU NIC GPU GPU GPU GPU Xe LinkMulti-GPU Systems - NUMA regions: - 4+ GPUs - 2+ CPUs CPU NIC GPU GPU GPU GPU Xe LinkMulti-GPU Systems - NUMA regions: - 4+ GPUs

Nodes Color Management Freestyle Layers & Passes Render Output Compositing Introduction Sidebar GPU Compositor Node Types Motion Tracking & Masking Introduction Motion Tracking Masking Video Editing to the GE, and over 400 bug fixes. 2.72 – October 2014: Cycles gets volume and SSS support on the GPU, pie menus are added and tooltips greatly improved, the Intersection modeling tool is added, new Sun for AMD on linux. 3.1 – March 2022 Major point clouds improvements, Cycles Apple Metal GPU support, Subdivision GPU support, image editor handles larger images, Major performance gains for geometry nodes

to the GE, and over 400 bug fixes. 2.72 – October 2014: Cycles gets volume and SSS support on the GPU, pie menus are added and tooltips greatly improved, the Intersection modeling tool is added, new Sun Automatic Automatically use GLSL which runs on the GPU for performance but falls back to the CPU for large images which might be slow when loaded with the GPU. 2D Texture Uses CPU for display transform and images. Cycles can use either the CPU or certain GPUs to render images, for more information see the GPU Rendering page. None When set to None or when the only option is None: the CPU will be used as the

to the GE, and over 400 bug fixes. 2.72 – October 2014: Cycles gets volume and SSS support on the GPU, pie menus are added and tooltips greatly improved, the Intersection modeling tool is added, new Sun supported: Automatically use GLSL which runs on the GPU for performance but falls back to the CPU for large images which might be slow when loaded with the GPU. Uses CPU for display transform and render images images. Cycles can use either the CPU or certain GPUs to render images, for more information see the GPU Rendering page. None When set to None or when the only option is None: the CPU will be used as the

to the GE, and over 400 bug fixes. 2.72 – October 2014: Cycles gets volume and SSS support on the GPU, pie menus are added and tooltips greatly improved, the Intersection modeling tool is added, new Sun for AMD on linux. 3.1 – March 2022 Major point clouds improvements, Cycles Apple Metal GPU support, Subdivision GPU support, image editor handles larger images, Major performance gains for geometry nodes improvements, AMD GPU Rendering on Linux, painting in sculpt mode, WEBp image support. 3.3 – September 2022 New hair object, procedural UV nodes, line art shadow and contour, Intel GPU rendering support

to the GE, and over 400 bug fixes. 2.72 – October 2014: Cycles gets volume and SSS support on the GPU, pie menus are added and tooltips greatly improved, the Intersection modeling tool is added, new Sun for AMD on linux. 3.1 – March 2022 Major point clouds improvements, Cycles Apple Metal GPU support, Subdivision GPU support, image editor handles larger images, Major performance gains for geometry nodes improvements, AMD GPU Rendering on Linux, painting in sculpt mode, WEBp image support. 3.3 – September 2022 New hair object, procedural UV nodes, line art shadow and contour, Intel GPU rendering support