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06/24/2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
Graph neural networks (GNNs) are emerging for machine learning research ...
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05/18/2023
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation
Recent years have witnessed the growing popularity of domain-specific ac...
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09/07/2022
Democratizing Domain-Specific Computing
In the past few years, domain-specific accelerators (DSAs), such as Goog...
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11/17/2021
Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks
High-level synthesis (HLS) has freed the computer architects from develo...
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11/10/2021
SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation
While there have been many studies on hardware acceleration for deep lea...
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09/22/2021
Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication
Sparse-Matrix Dense-Matrix multiplication (SpMM) is the key operator for...
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09/30/2020