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Thrust Alternatives
Similar projects and alternatives to Thrust
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Magic Enum C++
Static reflection for enums (to string, from string, iteration) for modern C++, work with any enum type without any macro or boilerplate code
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Whisper
High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model (by Const-me)
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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RESTinio
Cross-platform, efficient, customizable, and robust asynchronous HTTP(S)/WebSocket server C++ library with the right balance between performance and ease of use
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CUB
Discontinued THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE.
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Thrust reviews and mentions
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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.
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Stats
NVIDIA/thrust is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of Thrust is C++.
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