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GPGCN: A General-Purpose Graph Convolution Neural Network Accelerator Based on RISC-V ISA Extension

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/dac18074.2021.9586122openalex-snapshot
GNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks
inferredcites →https://doi.org/10.1109/dac18074.2021.9586257openalex-snapshot
RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU
inferredcites →https://doi.org/10.1109/dac18074.2021.9586298openalex-snapshot
DyGNN: Algorithm and Architecture Support of Dynamic Pruning for Graph Neural Networks
inferredcites →https://doi.org/10.1109/esscirc.2014.6942056openalex-snapshot
A 45nm 1.3GHz 16.7 double-precision GFLOPS/W RISC-V processor with vector accelerators
inferredcites →https://doi.org/10.1109/hpca47549.2020.00012openalex-snapshot
HyGCN: A GCN Accelerator with Hybrid Architecture
inferredcites →https://doi.org/10.1109/hpca51647.2021.00070openalex-snapshot
GCNAX: A Flexible and Energy-efficient Accelerator for Graph Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/hpca53966.2022.00041openalex-snapshot
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
inferredcites →https://doi.org/10.1109/hpca56546.2023.10070983openalex-snapshot
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/isca.2016.42openalex-snapshot
Cambricon: An Instruction Set Architecture for Neural Networks
inferredcites →https://doi.org/10.1109/l-ca.2011.4openalex-snapshot
DRAMSim2: A Cycle Accurate Memory System Simulator
inferredcites →https://doi.org/10.1109/micro50266.2020.00079openalex-snapshot
AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing
inferredcites →https://doi.org/10.1109/mm.2020.2996616openalex-snapshot
Chipyard: Integrated Design, Simulation, and Implementation Framework for Custom SoCs
inferredcites →https://doi.org/10.1109/mm.2021.3061912openalex-snapshot
Compute Substrate for Software 2.0
inferredcites →https://doi.org/10.1109/tc.2020.3014632openalex-snapshot
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks
inferredcites →https://doi.org/10.1109/tc.2022.3197083openalex-snapshot
GRIP: A Graph Neural Network Accelerator Architecture
inferredcites →https://doi.org/10.1145/3470536openalex-snapshot
ACE-GCN: A Fast Data-driven FPGA Accelerator for GCN Embedding
inferredcites →https://doi.org/10.1145/3550075openalex-snapshot
LW-GCN: A Lightweight FPGA-based Graph Convolutional Network Accelerator
inferredcites →https://doi.org/10.2991/assehr.k.220110.217openalex-snapshot
A Review on Important Issues in GCN Accelerator Design
inferredcites →https://doi.org/10.48550/arxiv.1706.02216openalex-snapshot
Inductive Representation Learning on Large Graphs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.sysarc.2024.103080openalex-snapshot
Automating application-driven customization of ASIPs: A survey
inferred← citeshttps://doi.org/10.1109/access.2023.3246491openalex-snapshot
RISC-V Instruction Set Architecture Extensions: A Survey
inferred← citeshttps://doi.org/10.1109/icsp58490.2023.10248542openalex-snapshot
Design and implementation of a speech recognition module based on RISC-V embedded processor
inferred← citeshttps://doi.org/10.1109/norcas66540.2025.11231278openalex-snapshot
GenIE: Reuse-Oriented Generation of Domain-Specific Instruction Extensions
inferred← citeshttps://doi.org/10.1109/tcad.2025.3565470openalex-snapshot
A RISC-V Extended Infrastructure for CNNs Through Pipelined Computing and Data Dependence Optimization
inferred← citeshttps://doi.org/10.1145/3729215openalex-snapshot
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms
inferred← citeshttps://doi.org/10.1145/3735452.3735522openalex-snapshot
R-Visor: An Extensible Dynamic Binary Instrumentation and Analysis Framework for Open Instruction Set Architectures
inferred← citeshttps://doi.org/10.1145/3772277openalex-snapshot
Deep Learning on RISC-V Platforms at the Edge: A Perspective on the Hardware and Software Support
inferred← citeshttps://doi.org/10.2139/ssrn.6225887openalex-snapshot
Inference Acceleration for Graph Convolutional Networks on RISC-V Systems
inferred← citeshttps://doi.org/10.71097/ijaidr.v14.i2.1467openalex-snapshot
Designing Neural-Network Accelerators Using RISC-V Architectures
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