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Source channel @githubtrending · Post #15077 · Aug 20

#c_lang#infiniband#iwarp#kernel_rdma_drivers#linux_kernel#rdma#roce#userspace_libraries You can use RDMA Core, a set of Linux userspace libraries and daemons, to work with RDMA devices for high-speed network communication. It supports many kernel drivers and provides tools and libraries like libibverbs and librdmacm to manage RDMA devices and connections. You can build it easily with cmake and install required packages depending on your Linux distribution. Using RDMA Core lets you set up software RDMA interfaces and verify them with commands like `ibv_devices` or `rdma link`. This helps you achieve faster, low-latency data transfer, which is useful for high-performance computing and networking tasks. https://github.com/linux-rdma/rdma-core

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djangoproject

@djangoproject · Post #519 · 12/10/2017, 06:14 PM

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https://blog.wallaroolabs.com/2017/12/stateful-multi-stream-processing-in-python-with-wallaroo/ #Wallaroo is a high-performance, open-source framework for building distributed stateful applications. In an earlier post, we looked at how Wallaroo scales #distributed_state. In this post, we’re going to see how you can use Wallaroo to implement multiple data processing #tasks performed over the same shared #state. We’ll be implementing an application we’ll call “Market Spread” that keeps track of the latest pricing information by stock while simultaneously using that state to determine whether stock order #requests should be rejected. #pipeline

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