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hardware acceleration

52 papers

Papers

A Hardware Perspective to Evaluating Probabilistic Circuits PGM 2022 Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets ICML 2022 FAERY: An FPGA-accelerated Embedding-based Retrieval System OSDI 2022 Tiara: A Scalable and Efficient Hardware Acceleration Architecture for Stateful Layer-4 Load Balancing NSDI 2022 A Block Minifloat Representation for Training Deep Neural Networks ICLR 2021 Challenges and Opportunities of Building Fast GBDT Systems IJCAI 2021 Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution ICML 2021 Hardware-friendly Deep Learning by Network Quantization and Binarization IJCAI 2021 OpEvo: An Evolutionary Method for Tensor Operator Optimization AAAI 2021 The nanoPU: A Nanosecond Network Stack for Datacenters OSDI 2021 THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation AAAI 2021 Efficient and Modularized Training on FPGA for Real-time Applications IJCAI 2020 Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask Structure IJCAI 2019 Channel Gating Neural Networks NeurIPS 2019 Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks ICCV 2019 MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors CVPR 2019 Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks AAAI 2019 Azure Accelerated Networking: SmartNICs in the Public Cloud NSDI 2018 Metron: NFV Service Chains at the True Speed of the Underlying Hardware NSDI 2018 Training DNNs with Hybrid Block Floating Point NeurIPS 2018 TVM: An Automated End-to-End Optimizing Compiler for Deep Learning OSDI 2018 Flexplane: An Experimentation Platform for Resource Management in Datacenters NSDI 2017 Speech Recognition and Understanding on Hardware-Accelerated DSP Interspeech 2017 Robot Motion Planning on a Chip RSS 2016 Backpropagation for Energy-Efficient Neuromorphic Computing NeurIPS 2015