f-stack
quant
f-stack | quant | |
---|---|---|
3 | 1 | |
3,726 | 283 | |
0.6% | 1.4% | |
7.5 | 4.7 | |
14 days ago | 9 months ago | |
C | C | |
GNU General Public License v3.0 or later | BSD 2-clause "Simplified" 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.
f-stack
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Coroutine made DPDK dev easy
So, we try to use Photon coroutine lib to simplify the development of DPDK applications with the new concurrency model, and provide more functionalities, such as lock, timer and file I/O. First of all, we need to choose a userspace network protocol stack. After investigation, we have chosen Tencent's open source F-Stack project, which has ported the entire FreeBSD 11.0 network protocol stack on top of DPDK. It also has made some code cuts, providing a set of POSIX APIs, such as socket, epoll, kqueue, etc. Of course, its epoll is also simulated by kqueue, since it is essentially FreeBSD.
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Production Twitter on One Machine: 100Gbps NICs and NVMe Are Fast
I agree most HTTP server benchmarks are highly misleading in that way, and mention in my post how disappointed I am at the lack of good benchmarks. I also agree that typical HTTP servers would fall over at much lower new connection loads.
I'm talking about a hypothetical HTTPS server that used optimized kernel-bypass networking. Here's a kernel-bypass HTTP server benchmarked doing 50k new connections per core second while re-using nginx code: https://github.com/F-Stack/f-stack. But I don't know of anyone who's done something similar with HTTPS support.
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To all C++ professionals, can you state what field you're working in? Is it a niche?
Software for Internet Service Providers. The current project is based on DPDK, on top of it we use modified version of F-stack and then our application logic. There is some application logic "under" the F-stack too.
quant
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Production Twitter on One Machine: 100Gbps NICs and NVMe Are Fast
https://github.com/NTAP/quant
"Quant uses the warpcore zero-copy userspace UDP/IP stack, which in addition to running on on top of the standard Socket API has support for the netmap fast packet I/O framework, as well as the Particle and RIOT IoT stacks. Quant hence supports traditional POSIX platforms (Linux, MacOS, FreeBSD, etc.) as well as embedded systems."
What are some alternatives?
PhotonLibOS - Probably the fastest coroutine lib in the world!
NanoSDK - NanoSDK - MQTT 5.0-compliant SDK with QUIC support in NNG flavor
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
twitterperf - Prototyping the performance of various components of a theoretical faster Twitter
tensorflow-directml - Fork of TensorFlow accelerated by DirectML
fair-queuing-aware-congestion-control - Fair Queuing Aware Congestion Control – based on picoquic
onnx - Open standard for machine learning interoperability
nghttp3 - HTTP/3 library written in C
ghz - Simple gRPC benchmarking and load testing tool