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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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#c_lang #infiniband #iwarp #kernel_rdma_drivers #linux_kernel #rdma #roce #userspace_libraries

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@githubtrending · Post #15246 · 10/24/2025, 01:30 PM

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#go#blob_storage#cloud_drive#distributed_file_system#distributed_storage#distributed_systems#erasure_coding#fuse#hadoop_hdfs#hdfs#kubernetes#object_storage#posix#replication#s3#s3_storage#seaweedfs#tiered_file_system SeaweedFS is a fast, simple, and highly scalable distributed file system designed to store billions of files and serve them quickly, especially small files. It uses a master server to manage volumes on volume servers, which handle file data and metadata, enabling very fast file access with minimal disk reads. It supports features like replication, erasure coding, cloud integration for elastic storage, and compatibility with many metadata stores and APIs including Amazon S3. This means you get efficient, cost-effective storage with fast access, easy scaling, and flexible deployment options for large-scale file storage needs. https://github.com/seaweedfs/seaweedfs

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