Runtime thermal management of high-performance chips depends on fast and accurate full-chip thermal maps. Conventional simulators typically estimate power traces from performance metrics first, which adds overhead. This work proposes TherMapNet, an attention-guided thermal simulator that predicts full-chip thermal maps...
Qin Gu, Chao-Fang Ma, Ming-Yu Yang et al.· 0 citations
CMD, an integrated CGRA framework featuring cluster-based distributed memory design with a co-designed compilation toolchain, is proposed, which includes a novel memory-aware mapper and a design space exploration mechanism that identifies the optimal memory architecture design for specific kernels.
Shang-Kun Li, Cheng Tan, Ze-Yu Li et al.· 0 citations
This paper proposes FPGN, an end-to-end physically-aware framework that closes the gap between LUT-native learning and latency-optimized FPGA implementation, and addresses challenges through a hardware-aligned differentiable formulation for training FPGA-native LUT neurons.
Jia-Wei Liang, Haotong Qin, Lin-Feng Du et al.· arXiv.org· 1 citation
PICopilot is introduced, the first large language model (LLM)-based agentic framework that assists in PIC design via automated design script generation from natural language instructions, achieving a high success rate and reliability.
Xiaohan Jiang, Zeyu Li, Wei Zhang et al.· 0 citations
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