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英文字典中文字典相关资料:


  • H2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous . . .
    This paper proposes H \(^\text{2}\)-LLM, the first hybrid-bonding-based heterogeneous accelerator for edge-side low-batch LLM inference H \(^\text{2}\) -LLM comprehensively considers hybrid bonding technology’s computation-bandwidth trade-off in the architecture design space and adopts the data-centric dataflow abstraction to fully utilize the heterogeneous architecture for low-batch LLM
  • GitHub - leesou H2-LLM-ISCA-2025: H2-LLM: Hardware . . .
    This is the artifact of H$^2$-LLM's dataflow exploration framwork, which contains the implementation of both compute-centric dataflow exploration in SpecPIM (ASPLOS '24) and data-centric dataflow exploration in H$^2$-LLM
  • H2-LLM: Hardware-Dataflow Co-Exploration for . . .
    •We propose H2-LLM’s heterogeneous hybrid bonding architec ture and extract its architecture design space to explore the computation-bandwidth trade-off inherent in hybrid bonding
  • Publications - Cong Li
    H$^2$-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference AIM: Software and Hardware Co-design for Architecture-level IR-drop Mitigation in High-performance PIM CtXnL: A Software-Hardware Co-Designed Solution for Efficient CXL-Based Transaction Processing
  • H2-LLM-ISCA-2025 - Zenodo
    Artifact of H$^2$-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference
  • ISCA 2025: Conference Program
    By embracing an "applications-first" co-design philosophy, we can harness AI-centric hardware for traditional science We will explore cutting-edge techniques like the Ozaki Scheme, which emulates high-precision numerics on
  • H2-LLM-ISCA-2025 README. md at master - GitHub
    This is the artifact of H$^2$-LLM's dataflow exploration framwork, which contains the implementation of both compute-centric dataflow exploration in SpecPIM (ASPLOS '24) and data-centric dataflow exploration in H$^2$-LLM (ISCA '25) 1 Installation 2 Kick-the-Tires 3 Instructions for Artifact Evaluation 4 Usage and Framework Extension 5
  • 张宸 - 上海交通大学 - Homepage
    H^2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference, ISCA, 2025 SynGPU: Synergizing CUDA and Bit-Serial Tensor Cores for Vision Transformer Acceleration on GPU,
  • H2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous . . .
    H2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference ISCA ’25, June 21–25, 2025, Tokyo, Japan HB Ctrl NMP PE HB Ctrl NMP PE HB Ctrl NMP PE NMP-enabled Memory
  • leesou - GitHub
    H2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference Python 10





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