A3C3: AI Algorithm and Accelerator Co-design, Co-search, and Co-generation
We present a holistic methodology for artificial intelligence algorithm and accelerator co-design, co-search, and co-generation (A3C3), which jointly optimizes neural network architectures and their hardware implementations to address the inefficiencies of traditional top-down AI system design flows. Conventional AI deployment often treats model design and hardware mapping as separate stages: an algorithm is first developed for accuracy, and only afterward adapted to meet latency, throughput, energy, or resource constraints. This separation can lead to suboptimal systems, particularly as modern AI workloads become increasingly heterogeneous, memory-intensive, and platform-dependent. A3C3 ...
| Authors | Selin Yildirim, Yingbing Huang, Deming Chen |
|---|---|
| Primary category | cs.AR |
| Published | 18 June 2026 |
| Last updated at source | 24 June 2026 |
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