OpenBLAS
flutter_rust_bridge
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OpenBLAS | flutter_rust_bridge | |
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22 | 52 | |
5,952 | 3,552 | |
2.4% | - | |
9.8 | 10.0 | |
3 days ago | 4 days ago | |
C | Dart | |
BSD 3-clause "New" or "Revised" License | MIT License |
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.
OpenBLAS
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LLaMA Now Goes Faster on CPUs
The Fortran implementation is just a reference implementation. The goal of reference BLAS [0] is to provide relatively simple and easy to understand implementations which demonstrate the interface and are intended to give correct results to test against. Perhaps an exceptional Fortran compiler which doesn't yet exist could generate code which rivals hand (or automatically) tuned optimized BLAS libraries like OpenBLAS [1], MKL [2], ATLAS [3], and those based on BLIS [4], but in practice this is not observed.
Justine observed that the threading model for LLaMA makes it impractical to integrate one of these optimized BLAS libraries, so she wrote her own hand-tuned implementations following the same principles they use.
[0] https://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprogra...
[1] https://github.com/OpenMathLib/OpenBLAS
[2] https://www.intel.com/content/www/us/en/developer/tools/onea...
[3] https://en.wikipedia.org/wiki/Automatically_Tuned_Linear_Alg...
[4]https://en.wikipedia.org/wiki/BLIS_(software)
- Assume I'm an idiot - oogabooga LLaMa.cpp??!
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Learn x86-64 assembly by writing a GUI from scratch
Yeah. I'm going to be helping to work on expanding CI for OpenBlas and have been diving into this stuff lately. See the discussion in this closed OpenBlas issue gh-1968 [0] for instance. OpenBlas's Skylake kernels do rely on intrinsics [1] for compilers that support them, but there's a wide range of architectures to support, and when hand-tuned assembly kernels work better, that's what are used. For example, [2].
[0] https://github.com/xianyi/OpenBLAS/issues/1968
[1] https://github.com/xianyi/OpenBLAS/blob/develop/kernel/x86_6...
[2] https://github.com/xianyi/OpenBLAS/blob/23693f09a26ffd8b60eb...
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AI’s compute fragmentation: what matrix multiplication teaches us
We'll have to wait until part 2 to see what they are actually proposing, but they are trying to solve a real problem. To get a sense of things check out the handwritten assembly kernels in OpenBlas [0]. Note the level of granularity. There are micro-optimized implementations for specific chipsets.
If progress in ML will be aided by a proliferation of hyper-specialized hardware, then there really is a scalability issue around developing optimized matmul routines for each specialized chip. To be able to develop a custom ASIC for a particular application and then easily generate the necessary matrix libraries without having to write hand-crafted assembly for each specific case seems like it could be very powerful.
[0] https://github.com/xianyi/OpenBLAS/tree/develop/kernel
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Trying downloading BCML
libraries mkl_rt not found in ['C:\python\lib', 'C:\', 'C:\python\libs'] ``` Install this and try again. Might need to reboot, never know with Windows https://www.openblas.net/
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The Bitter Truth: Python 3.11 vs Cython vs C++ Performance for Simulations
There isn't any fortran code in the repo there itself but numpy itself can be linked with several numeric libraries. If you look through the wheels for numpy available on pypi, all the latest ones are packaged with OpenBLAS which uses Fortran quite a bit: https://github.com/xianyi/OpenBLAS
- Optimizing compilers reload vector constants needlessly
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Just a quick question, can a programming language be as fast as C++ and efficient with as simple syntax like Python?
Sure - write functions in another language, export C bindings, and then call those functions from Python. An example is NumPy - a lot of its linear algebra functions are implemented in C and Fortran.
- OpenBLAS - optimized BLAS library based on GotoBLAS2 1.13 BSD version
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How to include external libraries?
Read the official docs yet?
flutter_rust_bridge
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flutter_rust_bridge VS rinf - a user suggested alternative
2 projects | 17 Jan 2024
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plugin system for a flutter app
Use some sort of executable file, like webassembly. I've seen extism which is really cool. Though theres no dart port for it or a dart package, i think something could be done via flutter_rust_brige. This will allow people to use the languages supported via extism (js, go, rust, zig, cpp etc) to their full potential and have the language's ecosystem available and they can just compile the plugin to a wasm file and use it in the app. Downsides would be ig using that rust package in dart since flutter_rust_bridge does have some amount of complexity. And that for example, two plugins both written in say for example js, depend on some sort of http package, and both plugins load the same package twice in their respective wasm files. ig plugin files would be more larger in the end.
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Show HN: Slint - A Declarative UI Toolkit Written in Rust for Embedded & Desktop
Not a Flutter Dev, but have you tried 'flutter_rust_bridge' [0]. Seems provide some interop between flutter and rust and looks like a popular and active project. I'm native mobile dev and just curious about this kind of interop myself. If it's seamless then looks like good balance to do mobile front-end in flutter and mobile backend in rust.
[0] https://github.com/fzyzcjy/flutter_rust_bridge
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`flutter-rust-app-template`: This template provides instant capabilities to developers who want to embrace the power of Rust and Flutter together.
This template is primarily built using the flutter_rust_bridge library. It also incorporates several popular packages and modifications into the default Flutter template, ensuring optimal development process. It has been designed with future scalability and performance in mind.
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Anybody doing multithreading wasm controlled by rust?
If you want example code, the flutter_rust_bridge uses a webworker pool with shared memory on the web to multithread the execution.
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I need a GUI framework that can do the following!
There's also the thing that flutter_rust_bridge is currently broken for web development. I have a PR open, but it's running into weird issues with the CI and so can't be merged.
- Flutter oder React Native für Appentwicklung?
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Is it possible to build a gui which is both cross compatible and native?
For reference, https://github.com/fzyzcjy/flutter_rust_bridge. And dart is a really nice language too, my only real gripe is that I'm no longer used to [type] [variable] over [variable]: [type]
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Slint 1.0: The Next-Generation Native GUI Toolkit Matures
https://github.com/fzyzcjy/flutter_rust_bridge (Fixed your href)
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I’m working on a prototype for a tool that visualizes intra-project dependencies between the source files of a Dart project.
It appears that this is indeed what was happening. The issue has now been fixed in the template.
What are some alternatives?
Eigen
uniffi-rs - a multi-language bindings generator for rust
GLM - OpenGL Mathematics (GLM)
bevy - A refreshingly simple data-driven game engine built in Rust
cblas - Netlib's C BLAS wrapper: http://www.netlib.org/blas/#_cblas
dioxus - Fullstack GUI library for web, desktop, mobile, and more.
blaze
Flutter - Flutter makes it easy and fast to build beautiful apps for mobile and beyond
Boost.Multiprecision - Boost.Multiprecision
cbindgen - A project for generating C bindings from Rust code
ceres-solver - A large scale non-linear optimization library
iced - A cross-platform GUI library for Rust, inspired by Elm