NetChain: Scale-Free Sub-RTT Coordination | USENIX
Xin Jin, Johns Hopkins University; Xiaozhou Li, Barefoot Networks; Haoyu Zhang, Princeton University; Nate Foster, Cornell University; Jeongkeun Lee, Barefoot Networks; Robert Soulé, Università della Svizzera italiana; Changhoon Kim, Barefoot Networks; Ion Stoica, UC Berkeley Awarded Best Paper! Coordination services are a fundamental building block of modern cloud systems, providing critical func
TensorFlow: A system for large-scale machine learning
TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general-purpose GPUs,
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USENIX NSDI17 Memory Disaggregation
APUNet: Revitalizing GPU as Packet Processing Accelerator | USENIX
The Design, Implementation, and Deployment of a System to Transparently Compress Hundreds of Petabytes of Image Files for a File-Storage Service | USENIX
