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
ProViP is proposed, a training-free progressive visual token pruning framework that removes redundant visual tokens based on the embedding similarity of input tokens before reasoning of the LLM backbone, and then prunes tokens during reasoning via head-aware pruning.
Chao-Fang Ma, Lin Jiang, Carol Jingyi Li et al.· 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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