| /dports/misc/xgboost/xgboost-1.5.1/demo/gpu_acceleration/ |
| H A D | README.md | 1 # GPU Acceleration Demo
3 …GPU acceleration. The forest cover type dataset has 581,012 rows and 54 features, making it time c…
5 `shap.ipynb` demonstrates using GPU acceleration to compute SHAP values for feature importance.
|
| /dports/devel/taskflow/taskflow-3.2.0/doxygen/cookbook/ |
| H A D | gpu_tasking_cudaflow.dox | 3 /** @page GPUTaskingcudaFlow GPU Tasking (%cudaFlow)
117 which is typically GPU @c 0.
121 The code below creates a cudaFlow that runs on GPU @c 0.
125 // here, cudaflow is under GPU 0
127 }, 0); // place the cudaFlow on GPU 0
134 access it from a kernel on GPU @c 1.
145 that take action on GPU memory area in @em bytes.
188 using one %cudaFlow per GPU operation.
217 The following code aggregates the five GPU operations
349 to decide its GPU context.
[all …]
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| /dports/devel/py-dask/dask-2021.11.2/docs/source/ |
| H A D | gpu.rst | 10 Many people use Dask alongside GPU-accelerated libraries like PyTorch and
16 functions. Whether or not those Python functions use a GPU is orthogonal to
32 combining the Dask Array and DataFrame collections with a GPU-accelerated
38 the NumPy/Pandas components with GPU-accelerated versions of those same
39 libraries, as long as the GPU accelerated version looks enough like
42 Fortunately, libraries that mimic NumPy, Pandas, and Scikit-Learn on the GPU do
49 The `RAPIDS <https://rapids.ai>`_ libraries provide a GPU accelerated
75 `Chainer's CuPy <https://cupy.chainer.org/>`_ library provides a GPU
97 There are a variety of GPU accelerated machine learning libraries that follow
116 GPU-backed libraries isn't very different from using it with CPU-backed
[all …]
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| /dports/multimedia/libv4l/linux-5.13-rc2/Documentation/devicetree/bindings/gpu/ |
| H A D | vivante,gc.yaml | 7 title: Vivante GPU Bindings
9 description: Vivante GPU core devices
34 - description: GPU core clock
35 - description: Shader clock (only required if GPU has feature PIPE_3D)
36 - description: AHB/slave interface clock (only required if GPU can gate
|
| /dports/multimedia/v4l-utils/linux-5.13-rc2/Documentation/devicetree/bindings/gpu/ |
| H A D | vivante,gc.yaml | 7 title: Vivante GPU Bindings
9 description: Vivante GPU core devices
34 - description: GPU core clock
35 - description: Shader clock (only required if GPU has feature PIPE_3D)
36 - description: AHB/slave interface clock (only required if GPU can gate
|
| /dports/multimedia/v4l_compat/linux-5.13-rc2/Documentation/devicetree/bindings/gpu/ |
| H A D | vivante,gc.yaml | 7 title: Vivante GPU Bindings
9 description: Vivante GPU core devices
34 - description: GPU core clock
35 - description: Shader clock (only required if GPU has feature PIPE_3D)
36 - description: AHB/slave interface clock (only required if GPU can gate
|
| /dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/services/viz/privileged/mojom/gl/ |
| H A D | gpu_host.mojom | 17 // If |gpu_info| and |gpu_feature_info| are for hardware GPU, then
39 // Tells the GPU host that the overlay info has been updated in the GPU
44 // GPU process has decided to disable GPU compositing. Host process keeps
45 // track of this decision in case the GPU process crashes.
|
| /dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/services/viz/public/mojom/ |
| H A D | gpu.mojom | 17 // Tells the GPU service to create a new GPU memory buffer.
24 // Tells the GPU process to destroy GPU memory buffer.
36 // Tells the GPU service to create a new channel for communication with a
37 // client. The GPU service responds with client ID, IPC handle and
|
| /dports/www/chromium-legacy/chromium-88.0.4324.182/services/viz/public/mojom/ |
| H A D | gpu.mojom | 17 // Tells the GPU service to create a new GPU memory buffer.
24 // Tells the GPU process to destroy GPU memory buffer.
36 // Tells the GPU service to create a new channel for communication with a
37 // client. The GPU service responds with client ID, IPC handle and
|
| /dports/devel/ispc/ispc-1.16.1/docs/ |
| H A D | ispc_for_gen.rst | 34 + `Performance Guide for GPU Programming`_
39 + `How to Debug on GPU?`_
52 on GPU.
195 ``programCount``) are available for use on GPU.
286 for CPU and GPU on the host side.
427 * Compile ISPC kernel for GPU:
479 * Float precision is slightly different on CPU and GPU, GPU is more precise.
505 * @time of GPU run: [10.886] milliseconds
511 Performance Guide for GPU Programming
528 is good for both CPU and GPU but on GPU it is essential.
[all …]
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| /dports/devel/taskflow/taskflow-3.2.0/doxygen/examples/ |
| H A D | kmeans_cudaflow.dox | 6 a k-means workload on a GPU using tf::cudaFlow.
29 and one GPU thread to work on one centroid for Step 3.
106 // allocate GPU memory
131 // transfer data from the host to the GPU
139 // GPU task graph of the main k-means body
164 // transfer the result of clusters from GPU to host
170 // deallocated GPU memory
191 // dump the taskflow without expanding GPU task graphs
205 parameters in the closure and offloaded to the GPU.
276 sequential CPU, parallel CPUs, and one GPU,
[all …]
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| /dports/graphics/waifu2x-converter-cpp/waifu2x-converter-cpp-5.3.4/old_files/appendix/ |
| H A D | hints-jp.md | 66 GPU利用メモ
69 * 一旦全ての入力平面・処理中モデルのカーネルをGPUに読み込み、全てGPU上でやらせて出力平面も一旦全てGPU上に持つようにすると速い？
|
| /dports/cad/meshlab/meshlab-Meshlab-2020.05/src/plugins_experimental/filter_ouput_optical_flow/GPU/ |
| H A D | FrameBuffer.h | 19 namespace GPU
123 const GPU::RenderBuffer &buff );
125 … const GPU::RenderBuffer *buff ) { return buff? Attach(attachment,*buff) : false; } in Attach()
127 const GPU::Texture2D &tex );
129 … const GPU::Texture2D *tex ) { return tex? Attach(attachment,*tex) : false; } in Attach()
|
| /dports/sysutils/plasma5-libksysguard/libksysguard-5.23.5/po/pt/ |
| H A D | ksysguard_plugins_process.po | 18 "X-POFile-SpellExtra: GPU\n"
47 msgid "GPU Usage"
48 msgstr "Carga do GPU"
52 msgid "GPU Memory"
53 msgstr "Memória do GPU"
|
| /dports/science/lammps/lammps-stable_29Sep2021/lib/kokkos/cmake/ |
| H A D | kokkos_arch.cmake | 50 KOKKOS_ARCH_OPTION(KEPLER30 GPU "NVIDIA Kepler generation CC 3.0")
51 KOKKOS_ARCH_OPTION(KEPLER32 GPU "NVIDIA Kepler generation CC 3.2")
52 KOKKOS_ARCH_OPTION(KEPLER35 GPU "NVIDIA Kepler generation CC 3.5")
53 KOKKOS_ARCH_OPTION(KEPLER37 GPU "NVIDIA Kepler generation CC 3.7")
57 KOKKOS_ARCH_OPTION(PASCAL60 GPU "NVIDIA Pascal generation CC 6.0")
59 KOKKOS_ARCH_OPTION(VOLTA70 GPU "NVIDIA Volta generation CC 7.0")
60 KOKKOS_ARCH_OPTION(VOLTA72 GPU "NVIDIA Volta generation CC 7.2")
67 KOKKOS_ARCH_OPTION(VEGA900 GPU "AMD GPU MI25 GFX900")
68 KOKKOS_ARCH_OPTION(VEGA906 GPU "AMD GPU MI50/MI60 GFX906")
69 KOKKOS_ARCH_OPTION(VEGA908 GPU "AMD GPU MI100 GFX908")
[all …]
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| /dports/devel/kokkos/kokkos-3.4.01/cmake/ |
| H A D | kokkos_arch.cmake | 50 KOKKOS_ARCH_OPTION(KEPLER30 GPU "NVIDIA Kepler generation CC 3.0")
51 KOKKOS_ARCH_OPTION(KEPLER32 GPU "NVIDIA Kepler generation CC 3.2")
52 KOKKOS_ARCH_OPTION(KEPLER35 GPU "NVIDIA Kepler generation CC 3.5")
53 KOKKOS_ARCH_OPTION(KEPLER37 GPU "NVIDIA Kepler generation CC 3.7")
57 KOKKOS_ARCH_OPTION(PASCAL60 GPU "NVIDIA Pascal generation CC 6.0")
59 KOKKOS_ARCH_OPTION(VOLTA70 GPU "NVIDIA Volta generation CC 7.0")
60 KOKKOS_ARCH_OPTION(VOLTA72 GPU "NVIDIA Volta generation CC 7.2")
67 KOKKOS_ARCH_OPTION(VEGA900 GPU "AMD GPU MI25 GFX900")
68 KOKKOS_ARCH_OPTION(VEGA906 GPU "AMD GPU MI50/MI60 GFX906")
69 KOKKOS_ARCH_OPTION(VEGA908 GPU "AMD GPU MI100 GFX908")
[all …]
|
| /dports/science/sparta/sparta-20Oct2021/lib/kokkos/cmake/ |
| H A D | kokkos_arch.cmake | 50 KOKKOS_ARCH_OPTION(KEPLER30 GPU "NVIDIA Kepler generation CC 3.0")
51 KOKKOS_ARCH_OPTION(KEPLER32 GPU "NVIDIA Kepler generation CC 3.2")
52 KOKKOS_ARCH_OPTION(KEPLER35 GPU "NVIDIA Kepler generation CC 3.5")
53 KOKKOS_ARCH_OPTION(KEPLER37 GPU "NVIDIA Kepler generation CC 3.7")
57 KOKKOS_ARCH_OPTION(PASCAL60 GPU "NVIDIA Pascal generation CC 6.0")
59 KOKKOS_ARCH_OPTION(VOLTA70 GPU "NVIDIA Volta generation CC 7.0")
60 KOKKOS_ARCH_OPTION(VOLTA72 GPU "NVIDIA Volta generation CC 7.2")
67 KOKKOS_ARCH_OPTION(VEGA900 GPU "AMD GPU MI25 GFX900")
68 KOKKOS_ARCH_OPTION(VEGA906 GPU "AMD GPU MI50/MI60 GFX906")
69 KOKKOS_ARCH_OPTION(VEGA908 GPU "AMD GPU MI100 GFX908")
[all …]
|
| /dports/science/gromacs/gromacs-2021.4/docs/release-notes/2016/major/ |
| H A D | highlights.rst | 11 make GPU-accelerated simulations faster even if we'd left the GPU
12 code alone! Thanks to these and additional GPU kernel improvements,
13 in GPU-accelerated runs expect around 15% improvement
27 constraints by a factor of 3 to 5 - which has a strong effect for GPU runs.
28 * OpenCL GPU support is now available with all combinations of MPI,
29 thread-MPI and GPU sharing (ie. the same as CUDA). Kernel performance
|
| /dports/net/boinc-client/boinc-client_release-7.8-7.8.6/locale/bg/ |
| H A D | BOINC-Client.po | 102 msgid "remove GPU exclusions in your cc_config.xml file"
103 msgstr "премахнете GPU изключенията във файла cc_config.xml"
138 "Upgrade to the latest driver to process tasks using your computer's GPU"
139 msgstr "Обновете до последната версия на драйвера за да изпълнявате задачи с помощта на GPU-то на к…
143 "Upgrade to the latest driver to use all of this project's GPU applications"
144 msgstr "Обновете до последната версия на драйвера за да използвате всички GPU приложения на този пр…
148 "A newer version of BOINC is needed to use your NVIDIA GPU; please upgrade to"
150 msgstr "Нужна е по-нова версия на BOINC за да използвате вашето NVIDIA GPU; моля обновете до текуща…
154 msgid "An %s GPU is required to run tasks for this project"
155 msgstr "Необходимо е %s GPU за стартиране на задачи за този проект"
|
| /dports/net/boinc-client/boinc-client_release-7.8-7.8.6/locale/ko/ |
| H A D | BOINC-Client.po | 101 msgid "remove GPU exclusions in your cc_config.xml file"
102 msgstr "cc_config.xml에서 GPU 예외 목록을 제거합니다"
137 "Upgrade to the latest driver to process tasks using your computer's GPU"
138 msgstr "해당 컴퓨터의 GPU로 태스크를 처리하려면 최신 드라이버로 업그레이드하세요"
142 "Upgrade to the latest driver to use all of this project's GPU applications"
143 msgstr "이 프로젝트의 GPU 응용 프로그램을 사용하려면 최신 드라이버로 업그레이드하세요"
147 "A newer version of BOINC is needed to use your NVIDIA GPU; please upgrade to"
149 msgstr "NVIDIA GPU를 사용하려면 더 높은 BOINC 버전이 필요합니다. 최신 버전으로 업그레이드하세요"
153 msgid "An %s GPU is required to run tasks for this project"
154 msgstr "이 프로젝트의 태스크를 실행하려면 %s GPU가 필요합니다"
|
| /dports/net/boinc-client/boinc-client_release-7.8-7.8.6/locale/zh_CN/ |
| H A D | BOINC-Client.po | 103 msgid "remove GPU exclusions in your cc_config.xml file"
104 msgstr "在cc_config.xml文件中删除GPU排除（<exclude_gpu>）"
139 "Upgrade to the latest driver to process tasks using your computer's GPU"
140 msgstr "将你计算机中 GPU 的驱动升级到最新版本后，才能继续运行计算任务"
144 "Upgrade to the latest driver to use all of this project's GPU applications"
145 msgstr "将你计算机中 GPU 的驱动升级到最新版本后，才能运行该项目的 GPU 计算程序"
149 "A newer version of BOINC is needed to use your NVIDIA GPU; please upgrade to"
151 msgstr "如果要使用你的 NVIDIA GPU 来进行计算，请将 BOINC 升级至最新的正式版本。"
155 msgid "An %s GPU is required to run tasks for this project"
|
| /dports/science/qmcpack/qmcpack-3.11.0/docs/ |
| H A D | running.rst | 86 number of cores on that socket. Even in the GPU-accelerated version,
173 Running on GPU machines
183 The current GPU implementation assumes one MPI process per GPU. To use
186 propagated in parallel. In each GPU kernel, loops over electrons,
197 count, and GPU model dependent. The GPU implementation vectorizes
199 are placed on a GPU, the higher the performance that will be
204 GPU use a sufficient number of GPU threads to operate the GPU
224 In the GPU implementation, each walker has a buffer in the GPU's
226 wavefunctions. Therefore, the amount of memory available on a GPU
230 B-spline data limits the calculations that can be run on the GPU.
[all …]
|
| /dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/docs/gpu/ |
| H A D | gpu_testing_bot_details.md | 1 # GPU Bot Details
8 ## Overview of the GPU bots' setup
25 [Using the GPU Bots]: gpu_testing.md#Using-the-GPU-Bots
134 [Adding new steps to the GPU bots]: gpu_testing.md#Adding-new-steps-to-the-GPU-Bots
218 on GPU hardware. See
247 on GPU and GPU.FYI waterfalls and trybots.
250 for CI builders on GPU and GPU.FYI waterfalls and trybots.
255 * Defines the stable GPU driver and OS versions in GPU Swarming pools.
379 reusing one of the existing builders, like [`GPU FYI Win Builder`][GPU FYI Win
469 builder, like `GPU FYI Win Builder` vs. `GPU FYI Win Builder (dbg)`.
[all …]
|
| /dports/net/boinc-client/boinc-client_release-7.8-7.8.6/locale/zh_TW/ |
| H A D | BOINC-Client.po | 120 "Upgrade to the latest driver to process tasks using your computer's GPU"
121 msgstr "將您的 GPU 驅動程式升級到最新的版本之後，才可以執行任務"
125 "Upgrade to the latest driver to use all of this project's GPU applications"
126 msgstr "將您的 GPU 驅動程式升級到最新的版本之後，才可以執行專案中的 GPU 程式"
130 "A newer version of BOINC is needed to use your NVIDIA GPU; please upgrade to"
132 msgstr "當您使用 NVIDIA GPU 進行運算的時候，請將 BOINC 升級至最新版本"
136 msgid "An %s GPU is required to run tasks for this project"
137 msgstr "該專案的任務需要 %s GPU 才可以執行"
|
| /dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/ui/ozone/public/mojom/ |
| H A D | scenic_gpu_service.mojom | 9 // GPU process service that enables presentation to Scenic.
11 // Initializes the GPU service for presenting to scenic.
14 // browser to bind services in the GPU, but we want the opposite here.
16 // TODO(spang): Consider providing a way for GPU to request ScenicGpuHost from
|