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Common Questions and Answers for deepin Users - Part 1
Hello everyone, Based on the common issues encountered during the download, installation, and usage of deepin, we have compiled these issues into a Q&A for your reference. We hope this can help everyone. Feel free to check it out, interact, and discuss~ You can also leave more specific questions in the comments or on the deepin forum, and we will continuously update this to better serve everyone. Q1: What are the recommended system requirements for installation? The recommended configuration is as follows: Processor: 2.0GHz multi-core or higher frequency processor Memory: 8GB or more of physical memory Hard Disk: 64GB ...Read more
The Story Behind Mesa LLVMpipe ORCJIT Upstreaming
Recently, the Mesa open-source graphics driver merged the Merge Request (MR) for the llvmpipe ORCJIT backend, adding support for the riscv64 architecture. What is LLVMpipe？ LLVMpipe is a software renderer in the Mesa driver that does not use GPU hardware. Instead, it uses LLVM's JIT compiler to dynamically convert the graphics-related code to be rendered into rasterized data for display. It offers better performance compared to softpipe. Closed-source drivers have long been a major obstacle to the desktop ecosystem of the riscv64 architecture, causing most riscv64 development boards' built-in GPUs to be partially or completely unusable. Consequently, desktop distributions ...Read more
New Progress! deepin M1 Project Updated to deepin RC2 Version
Last July, we successfully made deepin initially compatible with Apple M1. This year, as deepin V23 beta enters the RC2 version, the deepin M1 project naturally follows with updates. Additionally, this adaptation work not only upgrades the system environment version but also updates some system underlying component versions, optimizes the packaging process of various project modules, and partially adds timers to build content weekly for developers to experience firsthand. Now, let's dive into the specific updates in this release. 《deepin adapts to Apple M1, what have we experienced? (Part 1)》 《deepin adapts to Apple M1, what have we experienced? (Part ...Read more
Linglong Project Upgraded, Linyaps Officially Launched!
On July 13th, at the deepin Meetup in Shanghai, we officially announced the brand-new name of our project - Linyaps (hereinafter referred to as "Linglong"). Additionally, we shared the news that the project signed a donation agreement with the Open Atom Open Source Foundation on May 24, 2024. Linglong has now become an official incubator project of the foundation. Linyaps: A New Independent Package Management Toolset In the development of the Linux open-source software ecosystem, the software ecosystem has faced numerous challenges, especially regarding software compatibility and security issues. Packaging and distributing applications across different operating systems not only ...Read more
deepin V23 Successfully Adapted to EIC7700X !
Recently, the deepin community announced the successful adaptation of the Eswin Computing EIC7700X, achieving the stable operation of the RISC-V version of deepin V23. This move once again confirms deepin's commitment and strength to the RISC-V ecosystem, and also opens the door to a brand new desktop experience for developers and users. EIC7700X The EIC7700X is a powerful RISC-V intelligent computing System on Chip (SoC), equipped with a 64-bit out-of-order execution RISC-V processor and a proprietary high-efficiency Neural Processing Unit (NPU), offering a peak computing power of 19.95 TOPS, with the dual-die version reaching up to 39.9 TOPS. It ...Read more