OpenXLSX
Thrust
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OpenXLSX | Thrust | |
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7 | 4 | |
1,185 | 4,839 | |
- | - | |
0.0 | 6.9 | |
5 months ago | 3 months ago | |
C++ | C++ | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
OpenXLSX
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New programmer C++ question: OpenXLSX
I don't know enough of what I'm doing to know how to install it myself, despite reading some of this stuff. (https://github.com/troldal/OpenXLSX/blob/master/README.md). Old dog learning new tricks...
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Edit a single cell in an excel spreadsheet with c++
But you're in luck. There just so happens to be a free lib floating around: https://github.com/troldal/OpenXLSX
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Hello, I was wondering how hard it will be to print from c++ to excel. I've already done it to csv, but from what I've heard, to excel is far more difficult. Is it really that hard? And where can I learn how to do it? (I dindn't find anything interesting on YT). Thanks for the help!
XLSX is just a compressed XML format that Excel can read. It’s a bit of a pain in the ass to author yourself. But a quick google search yielded OpenXLSX.
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How do I parse .xlsx files in C++?
This one https://github.com/troldal/OpenXLSX looks promising, atleast from readme. Haven't used it.
- Creating module/addon to process excel file type.
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Can't compile example program from external library
https://github.com/troldal/OpenXLSX/blob/master/CMakeLists.txt#L21
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xlsx with VSCode and Qtcreator function propagation
To read and write xlsx files you would likely want to use a library. Google finds these: https://www.libxl.com/ and https://github.com/troldal/OpenXLSX
Thrust
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AMD's CDNA 3 Compute Architecture
this is frankly starting to sound a lot like the ridiculous "blue bubbles" discourse.
AMD's products have generally failed to catch traction because their implementations are halfassed and buggy and incomplete (despite promising more features, these are often paper features or career-oriented development from now-departed developers). all of the same "developer B" stuff from openGL really applies to openCL as well.
http://richg42.blogspot.com/2014/05/the-truth-on-opengl-driv...
AMD has left a trail of abandoned code and disappointed developers in their wake. These two repos are the same thing for AMD's ecosystem and NVIDIA's ecosystem, how do you think the support story compares?
https://github.com/HSA-Libraries/Bolt
https://github.com/NVIDIA/thrust
in the last few years they have (once again) dumped everything and started over, ROCm supported essentially no consumer cards and rotated support rapidly even in the CDNA world. It offers no binary compatibility support story, it has to be compiled for specific chips within a generation, not even just "RDNA3" but "Navi 31 specifically". Etc etc. And nobody with consumer cards could access it until like, six months ago, and that still is only on windows, consumer cards are not even supported on linux (!).
https://geohot.github.io/blog/jekyll/update/2023/06/07/a-div...
This is on top of the actual problems that still remain, as geohot found out. Installing ROCm is a several-hour process that will involve debugging the platform just to get it to install, and then you will probably find that the actual code demos segfault when you run them.
AMD's development processes are not really open, and actual development is silo'd inside the company with quarterly code dumps outside. The current code is not guaranteed to run on the actual driver itself, they do not test it even in the supported configurations.
it hasn't got traction because it's a low-quality product and nobody can even access it and run it anyway.
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Parallel Computations in C++: Where Do I Begin?
For a higher level GPU interface, Thrust provides "standard library"-like functions that run in parallel on the GPU (Nvidia only)
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What are some cool modern libraries you enjoy using?
For GPGPU, I like thrust. C++-idiomatic way of writing CUDA code, passing between host and device, etc.
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A vision of a multi-threaded Emacs
Users should work with higher level primitives like tasks, parallel loops, asynchronous functions etc. Think TBB, Thrust, Taskflow, lparallel for CL, etc.
What are some alternatives?
xlnt - :bar_chart: Cross-platform user-friendly xlsx library for C++11+
CUB - THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.
modern-cpp-tutorial - 📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
ArrayFire - ArrayFire: a general purpose GPU library.
entt - Gaming meets modern C++ - a fast and reliable entity component system (ECS) and much more
Boost.Compute - A C++ GPU Computing Library for OpenCL
Qv2ray - :star: Linux / Windows / macOS 跨平台 V2Ray 客户端 | 支持 VMess / VLESS / SSR / Trojan / Trojan-Go / NaiveProxy / HTTP / HTTPS / SOCKS5 | 使用 C++ / Qt 开发 | 可拓展插件式设计 :star:
HPX - The C++ Standard Library for Parallelism and Concurrency
doctest - The fastest feature-rich C++11/14/17/20/23 single-header testing framework
moodycamel - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
moderngpu - Patterns and behaviors for GPU computing