DataFrame
Thrust
Our great sponsors
DataFrame | Thrust | |
---|---|---|
109 | 4 | |
2,258 | 4,839 | |
- | - | |
9.2 | 6.9 | |
1 day ago | 2 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.
DataFrame
- New multithreaded version of C++ DataFrame was released
- DataFrame: NEW Data - star count:2013.0
-
C++ DataFrame vs. Polars
For a while, I have been hearing that Polars is so frighteningly fast that you shouldn’t look directly at it with unprotected eyes. So, I finally found time to learn a bit about Polars and write a very simple test/comparison for C++ DataFrame vs. Polars.
-
C++ Show and Tell - July 2023
I have worked on C++ DataFrame for the past 5+ years in my spare times. It is comparable to Pandas or R data.frame, although it includes a lot more functionality.
- Allocators; one of the ignored souls of STL
Thrust
-
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.
-
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)
-
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.
-
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?
datatable - A Python package for manipulating 2-dimensional tabular data structures
CUB - THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.
db-benchmark - reproducible benchmark of database-like ops
ArrayFire - ArrayFire: a general purpose GPU library.
sktime - A unified framework for machine learning with time series
Boost.Compute - A C++ GPU Computing Library for OpenCL
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
HPX - The C++ Standard Library for Parallelism and Concurrency
zhetapi - A C++ ML and numerical analysis API, with an accompanying scripting language.
moodycamel - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
faiss - A library for efficient similarity search and clustering of dense vectors.
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System