Vivaldi (64-bit)

最新版本 NVIDIA CUDA Toolkit 11.7.0 (for Windows 11)

NVIDIA CUDA Toolkit 11.7.0 (for Windows 11)

NVIDIA CUDA Toolkit 11.7.0 (for Windows 11)
從 Opera 的創造者,一個快速的 Vivaldi 瀏覽器 64 位,但也是一個功能豐富的瀏覽器,高度靈活,並把用戶放在第一位。一個為你製作的瀏覽器。最後,你可以沖浪你的方式.

Vivaldi 網頁瀏覽器適應你,而不是其他的方式。你喜歡瀏覽器標籤放在窗口的底部還是側面?也許你更喜歡不同的地址欄位置?使用 Vivaldi 瀏覽器,您可以自定義所有更多功能,例如鍵盤快捷鍵,鼠標手勢等。您是鍵盤用戶嗎?那麼你運氣好。通過快速命令,您可以使用一個鍵盤快捷鍵搜索打開的選項卡,書籤,歷史記錄,設置等等。 Vivaldi 的目標是使快速命令菜單高度可定制,允許您創建自己的命令並立即運行它們.

在 Web 瀏覽器中,許多無組織的選項卡可能會很快變得有點混亂,使您很難找到您要查找的選項卡。使用 Tab 堆棧組織您的標籤!他們讓你在一個標籤下分組多個標籤。只需將一個標籤拖到另一個標籤上即可輕鬆分組.

在筆記面板中右鍵瀏覽時添加筆記並添加網頁的屏幕截圖。筆記可以記住相關的網站,存儲附件(如屏幕截圖),或者允許您添加標籤以便日後輕鬆組織和定位。從 FileHorse 下載 PC 的 Vivaldi 瀏覽器離線安裝程序.

Vivaldi 瀏覽器功能:

Adaptive Interface
Vivaldi 網絡瀏覽器的配色方案將在瀏覽網頁時適應,就像變色龍適應周圍環境。一個乾淨和現代的外觀補充內容。 Facebook 將網頁瀏覽器變成藍色,The Verge 將變成橙色 - 如果您願意的話.

空間導航
當您可以使用箭頭鍵在每個軸上移動時,不再需要通過網頁內容進行製表符循環。使用鍵盤快速獲取網頁上的任何位置.

Sync
您想要保持同步的多台計算機?維瓦爾第同步使這一點。您的書籤,歷史記錄,密碼和設置都可以通過加密的 Sync 基礎架構在 Vivaldi 瀏覽器的不同實例之間進行同步。下載 Vivaldi Offline Installer 安裝程序!

Email
您的電子郵件客戶端內置於您的 Web 瀏覽器!這是正確的。電子郵件對我們許多人來說依然非常重要。尋找一個健壯,高效,輕量級和好看的電子郵件客戶端?你會發現它屬於維瓦爾第。稱之為 M3。敬請期待更新.

網絡技術
使維瓦爾第獨一無二的一件事是它建立在現代網絡技術上。 Vivaldi 使用 JavaScript 和 React 在 Node.js 和一長串 NPM 模塊的幫助下創建用戶界面。維瓦爾第是網絡建成的網頁.

也可用:下載維瓦爾第瀏覽器為 Mac

ScreenShot

軟體資訊
檔案版本 NVIDIA CUDA Toolkit 11.7.0 (for Windows 11)

檔案名稱 cuda_11.7.0_516.01_windows.exe
檔案大小
系統 Windows 7 64 / Windows 8 64 / Windows 10 64
軟體類型 免費軟體
作者 Vivaldi Technologies
官網 https://www.vivaldi.com/
更新日期 2022-05-12
更新日誌

What's new in this version:

General CUDA:
- To best ensure the security and reliability of our RPM and Debian package repositories, NVIDIA is updating and rotating the signing keys used by apt, dnf/yum, and zypper package managers beginning April 27, 2022. Failure to update your repository signing keys will result in package management errors when attempting to access or install packages from CUDA repositories.
- NVIDIA Open GPU Kernel Modules: With CUDA 11.7 and R515 driver, NVIDIA is open sourcing the GPU kernel mode driver under dual GPL/MIT license. Refer to https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#open-gpu-kernel-modules for more information.
- Lazy Loading: Delay kernel loading from host to GPU to the point where the kernel is called. This also only loads used kernels, which may result in a significant device-side memory savings. This also defers load latency from the beginning of the application to the point where a kernel is first called—overall binary load latency is usually significantly reduced, but is also shifted to later points in the application.

CUDA Compilers:
Grid private constants:
- NVCC host compiler support for clang13

CUDA Developer Tools:
- For changes to nvprof and Visual Profiler, see the changelog
- For new features, improvements, and bug fixes in CUPTI, see the changelog
- For new features, improvements, and bug fixes in Nsight Compute, see the changelog
- For new features, improvements, and bug fixes in Compute Sanitizer, see the changelog
- For new features, improvements, and bug fixes in CUDA-GDB, see the changelog

Fixed:
General CUDA:
- All color formats are now supported for Vulkan-CUDA interop on L4T and Android
- Resolved a linking issue that could be encountered on some systems when using libnvfm.so

CUDA Compilers:
- There was a compiler bug due to which a function marked __forceinline__ in a CUDA C++ program (or a function marked with the NVVM IR alwaysinline attribute for libNVVM compilation) was incorrectly given static linkage by the compiler in certain compilation modes. This incorrect behavior has been fixed and the compiler will not change the linkage in these compilation modes. As a result, if the static linkage is appropriate for such a function, then the program itself should set the linkage.
- Updated the libNVVM API documentation to include the library version and a note regarding thread safety

NVIDIA CUDA Toolkit 11.7.0 (for Windows 11) 相關參考資料
CUDA Toolkit 11.7 Downloads

CUDA Toolkit 11.7 Downloads. Select Target Platform. Click on the green buttons that describe your target platform. Only supported platforms will be shown.

https://developer.nvidia.com

Instructions for CUDA v11.7 and cuDNN 8.5 installation on ...

Instructions for CUDA v11.7 and cuDNN 8.5 installation on Ubuntu 22.04 for PyTorch 1.12.1 - cuda_11.7_installation_on_Ubuntu_22.04.

https://gist.github.com

安裝CUDA Toolkit 11.7 - Clarence 的科技學習實戰筆記

2022年5月31日 — ... 11-7-local/cuda-*-keyring.gpg /usr/share/keyrings/ sudo apt-get updatesudo apt-get -y install cuda. 參考資料. https://developer.nvidia.com/cuda ...

https://blog.clarence.tw