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2002.08947
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SpArch: Efficient Architecture for Sparse Matrix Multiplication
International Symposium on High-Performance Computer Architecture (HPCA), 2020
20 February 2020
Zhekai Zhang
Hanrui Wang
Song Han
W. Dally
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Papers citing
"SpArch: Efficient Architecture for Sparse Matrix Multiplication"
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HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU Cores
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Secure and Efficient General Matrix Multiplication On Cloud Using Homomorphic Encryption
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Privacy-aware Berrut Approximated Coded Computing for Federated Learning
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Random Search as a Baseline for Sparse Neural Network Architecture Search
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TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs
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Shang Yang
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Ke Hong
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Rosko: Row Skipping Outer Products for Sparse Matrix Multiplication Kernels
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SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving
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Seongmin Park
Hyung-Se Kim
Minyong Yoon
Jangwhan Lee
Junwon Choi
Nam Sung Kim
Mingu Kang
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314
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VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs
International Symposium on High-Performance Computer Architecture (HPCA), 2023
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S. Damani
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Eric Qin
C. Hughes
S. Subramoney
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SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators
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Jaeyong Song
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DiVa: An Accelerator for Differentially Private Machine Learning
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