WebFeb 5, 2024 · This paper introduces DeepReduce, a versatile framework for the compressed communication of sparse tensors, tailored for distributed deep learning. DeepReduce decomposes sparse tensors in two sets, values and indices, and allows both independent and combined compression of these sets. We support a variety of common compressors, … WebRDMA over Converged Ethernet v2 (RoCE v2) has been widely deployed in data center networks to support compute-& data-intensive applications, e.g., distributed deep learning, where RDMA packets are encapsulated with packets with UDP/IP head-ers. As shown in Fig. 1, RDMA is an end-to-end transport mecha-
Fast Distributed Deep Learning over RDMA (2024) Jilong Xue 18 …
WebOct 17, 2024 · TensorFlow has become a preferred deep learning library at Uber for a variety of reasons. To start, the framework is one of the most widely used open source … WebMar 5, 2024 · By porting the Tensor send/receive parts of TensorFlow into RDMA verbs, we finally get nearly 6\(\times \) performance improvements over the original distributed TensorFlow, based on gRPC. twin cove resort olongapo
Fast Distributed Deep Learning over RDMA - Reading List
WebDeep learning emerges as an important new resource-intensive workload and has been successfully applied in computer vision, speech, natural language processing, and so on. Distributed deep learning is becoming a necessity to cope with growing data and model sizes. Its computation is typically characterized by a simple tensor data abstraction to … WebSep 22, 2024 · This paper presents Deep Lake, an open-source lakehouse for deep learning applications developed at Activeloop. Deep Lake maintains the benefits of a vanilla data lake with one key difference: it stores complex data, such as images, videos, annotations, as well as tabular data, in the form of tensors and rapidly streams the data … WebMar 24, 2024 · RDMA technology is already widely used for efficient data transfer in render farms and large cloud deployments, such as Microsoft Azure, HPC (including … tail to table