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Speed-ANN: Low-Latency and High-Accuracy Nearest Neighbor Search via Intra-Query Parallelism., , , , и . CoRR, (2022)AdaTune: Adaptive Tensor Program Compilation Made Efficient., , , и . NeurIPS, (2020)Memcached Design on High Performance RDMA Capable Interconnects., , , , , , , , , и 1 other автор(ы). ICPP, стр. 743-752. IEEE Computer Society, (2011)Low-overhead software transactional memory with progress guarantees and strong semantics., , , и . PPoPP, стр. 97-108. ACM, (2015)DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation., , , и . ICLR, OpenReview.net, (2021)Valor: efficient, software-only region conflict exceptions., , , и . OOPSLA, стр. 241-259. ACM, (2015)DUET: A Compiler-Runtime Subgraph Scheduling Approach for Tensor Programs on a Coupled CPU-GPU Architecture., , и . IPDPS, стр. 151-161. IEEE, (2021)DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing., , , , , , и . AAAI, стр. 18490-18498. AAAI Press, (2024)Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination., , , и . SIGMOD Conference, стр. 2539-2554. ACM, (2020)Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft., , , , , , , , и . OpML, стр. 5-7. USENIX Association, (2019)