Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures | Paper Citation Record

Observation da9257bd-9d87-4c20-8cd0-f035cbce492b · outbound

This paper cites A scalable processing- in-memory accelerator for parallel graph processing,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures A scalable processing- in-memory accelerator for parallel graph processing,

Reference 1

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Observation 3ef307d4-8e8f-4f32-84f6-e4f6a575fe91 · outbound

This paper cites Stable video diffusion: Scaling latent video diffusion models to large datasets,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Stable video diffusion: Scaling latent video diffusion models to large datasets,

Reference 2

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This paper cites Token merging for fast stable diffusion,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Token merging for fast stable diffusion,

Reference 3

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This paper cites VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

Reference 4

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This paper cites WaveGrad: Estimating gradients for waveform generation,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures WaveGrad: Estimating gradients for waveform generation,

Reference 5

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This paper cites DianNao: A small-footprint high-throughput accelerator for ubiqui- tous machine-learning,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures DianNao: A small-footprint high-throughput accelerator for ubiqui- tous machine-learning,

Reference 6

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This paper cites Executing your commands via motion diffusion in latent space,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Executing your commands via motion diffusion in latent space,

Reference 7

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This paper cites Eyeriss: A spatial architecture for energy-efficient dataflow for convolutional neural networks,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Eyeriss: A spatial architecture for energy-efficient dataflow for convolutional neural networks,

Reference 8

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This paper cites DaDianNao: A machine-learning supercomputer,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures DaDianNao: A machine-learning supercomputer,

Reference 9

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This paper cites LLMServingSim: A HW/SW co-simulation infrastructure for LLM inference serving at scale,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures LLMServingSim: A HW/SW co-simulation infrastructure for LLM inference serving at scale,

Reference 10

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Observation bd3dea1e-fcc7-4c02-b2e4-8c7c0d3703bd · outbound

This paper cites Diffusion models beat GANs on image synthesis,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Diffusion models beat GANs on image synthesis,

Reference 11

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This paper cites Graphi- cionado: A high-performance and energy-efficient accelerator for graph analytics,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Graphi- cionado: A high-performance and energy-efficient accelerator for graph analytics,

Reference 12

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This paper cites EIE: Efficient inference engine on compressed deep neural network,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures EIE: Efficient inference engine on compressed deep neural network,

Reference 13

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Observation c93d1891-95fe-48de-ad03-6ed5b0b108a7 · outbound

This paper cites ExTensor: An accelerator for sparse tensor algebra,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures ExTensor: An accelerator for sparse tensor algebra,

Reference 14

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This paper cites EXION: Exploiting inter- and intra-iteration output sparsity for diffusion models,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures EXION: Exploiting inter- and intra-iteration output sparsity for diffusion models,

Reference 15

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Observation 84eb1ff9-d0dd-4f42-9322-19c0c6ad34a1 · outbound

This paper cites Denoising diffusion probabilistic models,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Denoising diffusion probabilistic models,

Reference 16

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Observation 5b0c97af-3a5e-4bed-90cd-b25c7d5ff011 · outbound

This paper cites Video diffusion models,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Video diffusion models,

Reference 17

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This paper cites Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models

Reference 18

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This paper cites In-datacenter performance analysis of a tensor processing unit,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures In-datacenter performance analysis of a tensor processing unit,

Reference 19

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This paper cites Elucidating the design space of diffusion-based generative models,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Elucidating the design space of diffusion-based generative models,

Reference 20

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This paper cites Ramulator: A fast and extensible DRAM simulator,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Ramulator: A fast and extensible DRAM simulator,

Reference 21

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This paper cites Cambricon-D: Full-network differential acceleration for diffusion models,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Cambricon-D: Full-network differential acceleration for diffusion models,

Reference 22

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This paper cites DiffWave: A versatile diffusion model for audio synthesis,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures DiffWave: A versatile diffusion model for audio synthesis,

Reference 23

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This paper cites MAERI: Enabling flexible dataflow mapping over DNN accelerators via reconfigurable intercon- nects,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures MAERI: Enabling flexible dataflow mapping over DNN accelerators via reconfigurable intercon- nects,

Reference 24

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This paper cites Q-Diffusion: Quantizing diffusion models,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Q-Diffusion: Quantizing diffusion models,

Reference 25

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This paper cites SnapFusion: Text-to-image diffusion model on mobile devices within two seconds,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures SnapFusion: Text-to-image diffusion model on mobile devices within two seconds,

Reference 26

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This paper cites Pseudo numerical methods for diffusion models on manifolds,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Pseudo numerical methods for diffusion models on manifolds,

Reference 27

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This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 28

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This paper cites Ramulator 2.0: A modern, modular, and extensible DRAM simulator,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Ramulator 2.0: A modern, modular, and extensible DRAM simulator,

Reference 29

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Observation 26ff7ec5-7bb0-4cf5-9598-28e0b6c982c7 · outbound

This paper cites DeepCache: Accelerating diffusion models for free,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures DeepCache: Accelerating diffusion models for free,

Reference 30

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Observation 98c6faf9-a80c-4ff9-8979-e01aeeab239e · outbound

This paper cites Improved denoising diffusion probabilistic models,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Improved denoising diffusion probabilistic models,

Reference 31

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This paper cites OuterSPACE: An outer product based sparse matrix multiplication accelerator,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures OuterSPACE: An outer product based sparse matrix multiplication accelerator,

Reference 32

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This paper cites Timeloop: A systematic approach to DNN accelerator evaluation,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Timeloop: A systematic approach to DNN accelerator evaluation,

Reference 33

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This paper cites SCNN: An accelerator for compressed-sparse convolutional neural networks,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures SCNN: An accelerator for compressed-sparse convolutional neural networks,

Reference 34

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This paper cites Tale of two Cs: Computation vs. communication scaling for future trans- formers on future hardware,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Tale of two Cs: Computation vs. communication scaling for future trans- formers on future hardware,

Reference 35

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Observation dbecae90-90db-4729-acee-2b33c0a1ee99 · outbound

This paper cites Scalable diffusion models with transformers,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Scalable diffusion models with transformers,

Reference 36

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This paper cites SIGMA: A sparse and irregular GEMM accelerator with flexible interconnects for DNN training,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures SIGMA: A sparse and irregular GEMM accelerator with flexible interconnects for DNN training,

Reference 37

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This paper cites Hierar- chical text-conditional image generation with CLIP latents,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Hierar- chical text-conditional image generation with CLIP latents,

Reference 38

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This paper cites MLPerf inference benchmark,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures MLPerf inference benchmark,

Reference 39

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Observation 1f34ac8d-1331-43f3-af6b-c4cb1d598ab5 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures High-resolution image synthesis with latent diffusion models,

Reference 40

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This paper cites DRAMSim2: A cycle accurate memory system simulator,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures DRAMSim2: A cycle accurate memory system simulator,

Reference 41

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This paper cites Photorealistic text-to-image diffusion models with deep language understanding,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Photorealistic text-to-image diffusion models with deep language understanding,

Reference 42

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This paper cites Progressive distillation for fast sampling of diffusion models,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Progressive distillation for fast sampling of diffusion models,

Reference 43

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This paper cites Post-training quantization on diffusion models,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Post-training quantization on diffusion models,

Reference 44

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Observation 04b74385-f78d-4f7b-81f1-94118afeab15 · outbound

This paper cites Denoising diffusion implicit models,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Denoising diffusion implicit models,

Reference 45

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Observation bb24d47e-5cb7-4196-95e9-5c578c85d6f7 · outbound

This paper cites Score-based generative modeling through stochastic differential equations,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Score-based generative modeling through stochastic differential equations,

Reference 46

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Observation c386f1c0-222f-4be4-9ecc-68561b46627b · outbound

This paper cites MatRaptor: A sparse-sparse matrix multiplication accelerator based on row- wise product,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures MatRaptor: A sparse-sparse matrix multiplication accelerator based on row- wise product,

Reference 47

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Observation f89d696f-87e6-4627-84f6-08ab26210c61 · outbound

This paper cites Human motion diffusion model,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Human motion diffusion model,

Reference 48

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Observation b7acc231-f687-4ab8-8f3d-f4a8266964cb · outbound

This paper cites EDGE: Editable dance generation from music,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures EDGE: Editable dance generation from music,

Reference 49

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Observation 48b311ef-f301-46f7-9e6e-898f77a54f18 · outbound

This paper cites Trapezoid: A versatile accelerator for dense and sparse matrix multiplications,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Trapezoid: A versatile accelerator for dense and sparse matrix multiplications,

Reference 50

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This paper cites Gamma: Leveraging gustavson’s algorithm to accelerate sparse matrix multiplication,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Gamma: Leveraging gustavson’s algorithm to accelerate sparse matrix multiplication,

Reference 51

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This paper cites Cambricon-X: An accelerator for sparse neural networks,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures Cambricon-X: An accelerator for sparse neural networks,

Reference 52

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Observation 1089e0cf-52e1-453e-a291-3db2ceb35cea · outbound

This paper cites SpArch: Efficient architecture for sparse matrix multiplication,.

Activation Concentration: Characterizing Column-Level Output Sparsity Across Diffusion Model Architectures SpArch: Efficient architecture for sparse matrix multiplication,

Reference 53

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