AIChip_Paper_List
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2021-04-14
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AIChip_Paper_List （208个子文件） 
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README.md 91KB A Configurable Cloud-Scale DNN Processor for Real-Time AI.md 5KB SnaPEA Predictive Early Activation for Reducing Computation in Deep Convolutional Neural Networks.md 5KB Towards Pervasive and User Satisfactory CNN across GPU Microarchitectures.md 5KB Euphrates Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision.md 5KB Energy Efficient Architecture for Graph Analytics Accelerators.md 4KB Towards Memory Friendly Long-Short Term Memory Networks(LSTMs) on Mobile GPUs.md 4KB FA3C FPGA-Accelerated Deep Reinforcement Learning.md 4KB UCNN Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition.md 4KB Accelerating Markov Random Field Inference Using Molecular Optical Gibbs Sampling Units.md 4KB GANAX A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks.md 4KB Cambricon An Instruction Set Architecture for Neural Networks.md 4KB Minerva Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators .md 4KB Think Fast A Tensor Streaming Processor (TSP) for Accelerating Deep Learning Workloads.md 4KB Astra Exploiting Predictability to Optimize Deep Learning.md 4KB In-Datacenter Performance Analysis of a Tensor Processing Unit.md 4KB Deep Learning Acceleration with Neuron-to-Memory.md 4KB Shortcut Mining Exploiting Cross-layer Shortcut Reuse in DCNN Accelerators.md 4KB Capuchin_Tensor-based GPU Memory Management for Deep Learning.md 4KB Neurocube A Programmable Digital Neuromorphic Architecture with High-Density 3D Memory.md 3KB DeepRecSys_A System for Optimizing End-to-End At-Scale Neural Recommendation Inference.md 3KB SC-DCNN Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing.md 3KB vDNN Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design.md 3KB MaxNVM_Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation.md 3KB Morph Flexible Acceleration for 3D CNN-based Video Understanding.md 3KB SCALEDEEP A Scalable Compute Architecture for Learning and Evaluating Deep Networks.md 3KB Communication Lower Bound in Convolution Accelerators.md 3KB TensorDIMM A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning.md 3KB DeftNN_Addressing Bottlenecks for DNN Execution on GPUs via Synapse Vector Elimination and Near-compute Data Fission.md 3KB Cnvlutin Ineffectual-Neuron-Free Deep Neural Network Computing .md 3KB Processing-in-Memory for Energy-efficient Neural Network Training A Heterogeneous Approach.md 3KB DeepSigns An End-to-End Watermarking Framework for Ownership Protection of Deep Neural Networks.md 3KB PUMA A Programmable Ultra-efcient Memristor-based Accelerator for Machine Learning Inference.md 3KB Scalpel Customizing DNN Pruning to the Underlying Hardware Parallelism.md 3KB Echo Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training.md 3KB Bit-Tactical A SoftwareHardware Approach to Exploiting Value and Bit Sparsity in Neural Networks.md 3KB HyPar_Towards Hybrid Parallelism for Deep Learning Accelerator Array.md 3KB Alleviating Irregularity in Graph Analytics Acceleration-a Hardwar-Software Co-Design Approach.md 3KB Fused-Layer CNN Accelerators.md 3KB Prediction based Execution on Deep Neural Networks.md 3KB DaDianNao A Machine-Learning Supercomputer.md 3KB ShapeShifter Enabling Fine-Grain Data Width Adaptation in Deep Learning.md 3KB FPSA_FPSA A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture.md 3KB Compressing DMA Engine.md 3KB HyGCN A GCN Accelerator with Hybrid Architecture.md 3KB A Multi-Neural Network Acceleration Architecture.md 3KB Prague High-Performance Heterogeneity-Aware Asynchronous Decentralized Training.md 3KB RANA Towards Efficient Neural Acceleration with Refresh-Optimized Embedded DRAM .md 3KB Maximizing CNN Accelerator Efficiency Through Resource Partitioning.md 3KB CirCNN_Accelerating and Compressing Deep Neural Networks Using Block-Circulant Weight Matrices.md 3KB ShiDianNao Shifting Vision Processing Closer to the Sensor.md 3KB High-Performance Deep-Learning Coprocessor Integrated into x86 SoC with Server-Class CPUs.md 2KB EDEN Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM.md 2KB Diffy_a Deja vu-Free Differential Deep Neural Network Accelerator.md 2KB From High-Level Deep Neural Models to FPGAs.md 2KB Techniques for Reducing the Connected-Standby Energy Consumption of Mobile Devices.md 2KB Bit Fusion-Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network.md 2KB PM3 Power Modeling and Power Management for Processing-in-Memory-HPCA'18-LX.md 2KB VIBNN Hardware Acceleration of Bayesian Neural Networks.md 2KB E-RNN_Design Optimization for Efficient Recurrent Neural Networks in FPGAs.md 2KB Bridging the Gap Between Neural Networks and Neuromorphic Hardware with A Neural Network Compiler.md 2KB FlexFlow A Flexible Dataflow Accelerator Architecture for Convolutional Neural Networks.md 2KB DianNao A Small-Footprint High-Throughput Accelerator for Ubiquitous Machine-Learning.md 2KB ExTensor An Accelerator for Sparse Tensor Algebra.md 2KB ZCOMP Reducing DNN Cross-Layer Memory Footprint Using Vector Extensions.md 2KB NEUTRAMS-Neural Network Transformation and Co-design under Neuromorphic Hardware-Constraints-MICRO'16-LX.md 2KB A Deep Reinforcement Learning Framework for Architectural Exploration_ A Routerless NoC Case Study.md 2KB TABLA A Unified Template-based Framework for Accelerating Statistical Machine Learning.md 2KB Towards Efficient Microarchitectural Design for Accelerating Unsupervised GAN-Based Deep Learning.md 2KB RedEye Analog ConvNet Image Sensor Architecture for Continuous Mobile Vision.md 2KB GeneSys Enabling Continuous Learning through Neural Network Evolution in Hardware.md 2KB Scale-Out Acceleration for Machine Learning.md 2KB GraphR Accelerating Graph Processing Using ReRAM-LX.md 2KB PuDianNao A Polyvalent Machine Learning Accelerator .md 2KB EVA2_Exploiting Temporal Redundancy in Live Computer Vision.md 2KB PuDianNao A Polyvalent Machine Learning Accelerator.md 2KB DRQ Dynamic Region-based Quantization for Deep Neural Network Acceleration.md 2KB Kelp QoS for Accelerated Machine Learning Systems.md 2KB Gist-Efficient Data Encoding for Deep Neural Network Training.md 2KB eCNN A Block-Based and Highly-Parallel CNN Accelerator for Edge Inference.md 2KB eAP_ A Scalable and Efficient In-Memory Accelerator for Automata Processing.md 2KB Computation Reuse in DNNs by Exploiting Input Similarity.md 2KB PERMDNN Efficient Compressed DNN Architecture with Permuted Diagonal Matrices.md 2KB SparTen A Sparse Tensor Accelerator for Convolutional Neural Networks.md 2KB The dark side of DNN pruning.md 2KB The Accelerator Wall Limits of Chip Specialization.md 2KB TANGRAM Optimized Coarse-Grained Dataflow for Scalable NN Accelerators.md 2KB Bit Prudent In-Cache Acceleration of Deep Convolutional Neural Networks.md 2KB Wire-Aware Architecture and Dataflow for CNN Accelerators.md 2KB MnnFast A Fast and Scalable System Architecture for Memory-Augmented Neural Network.md 2KB FlexTensor An Automatic Schedule Exploration and Optimization Framework for Tensor Computation on Heterogeneous System.md 2KB EFLOPS Algorithm and System Co-design for a High Performance Distributed Training Platform.md 2KB A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron Superconducting Technology.md 2KB SCOPE A Stochastic Computing Engine for DRAM-based In-situ Accelerator.md 2KB Split-CNN Splitting Window-based Operations in Convolutional Neural Networks for Memory System Optimization..md 2KB TrainBox-An Extreme-Scale Neural Network Training Server Architecture by Systematically Balancing Operations .md 2KB Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations Column Combining Under Joint Optimization.md 2KB PRIME_A Novel Processing-in-memory Architecture for Neural Network Computation in ReRAM-based Main Memory.md 2KB共 208 条
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