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@FastLM

FastLM

We develop efficient models and systems for large-scale, distributed, parallel, sparsity senarios.

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  1. CXL-SpecKV CXL-SpecKV Public

    [FPGA'26 Best Paper Nomination] CXL-SpecKV: A Disaggregated FPGA Speculative KV-Cache for Datacenter LLM Serving

    C++ 45 11

  2. CSV-Decode CSV-Decode Public

    CSV-Decode: Certifiable Sub-Vocabulary Decoding for Efficient Large Language Model Inference

    Python 13

  3. tinyserve-vllm tinyserve-vllm Public

    [ACM MM 2025 Oral] TinyServe: Query-Aware Page Allocation Optimization

    Python 11 2

  4. SPI_VecDB SPI_VecDB Public

    [VecDB @ VLDB 2026] SPI: Query-Depth-Adaptive Indexing for Streaming RAG in Vector Databases

    Go 10

  5. KVLearn KVLearn Public

    [PPoPP 2027, SYSTOR 2026] Learning KV Cache Retention and Minimize Memory Workload in Disaggregated LLM Serving Systems

    C++ 9 1

  6. HSGM HSGM Public

    [ICPADS 2025 Oral, *SEM 2025 Oral] HSGM: Hierarchical Segment-Graph Memory for Scalable Long-Text Semantics

    Python 8

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