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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 #221 · 01/05/2017, 12:51 PM

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https://github.com/tensorflow/tensorflow #TensorFlow is an open source software library for #numerical computation using data flow graphs. #Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow also includes TensorBoard, a data visualization toolkit.

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djangoproject

@djangoproject · Post #224 · 01/07/2017, 04:53 PM

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djangoproject

@djangoproject · Post #298 · 04/17/2017, 07:42 AM

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djangoproject

@djangoproject · Post #425 · 08/28/2017, 03:37 AM

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djangoproject

@djangoproject · Post #513 · 11/30/2017, 10:00 PM

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