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[2024.07] We release vTensor, our LLM serving and KV Cache management system using VMM technique GMLake can reduce an average of 9.2 GB (up to 25 GB) GPU memory usage and 15% (up to 33% ) fragmentation among eight LLM models on GPU A100 with 80 GB memory
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The ASPLOS 2025 and EuroSys 2025 organizers are pleased to announce The ASPLOS 2025 / EuroSys 2025 Contest Track: a challenging, multi-month competition focused on advancing the state-of-the-art in multidisciplinary computer systems research.The high-level goals of this track are threefold: Bridge academia and industry by providing a platform for students and faculty to tackle challenging real. 据悉，这篇名为《GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching》的研究成果，针对业界普遍存在的大模型训练显存效率问题. 2025 Rotterdam , Netherlands Reflects downloads up to 13 Mar 2025 Bibliometrics
2025 Lexus IS 300 Specs, Dimensions & Colors. ASPLOS '24, April 27-May 1, 2024, La Jolla, CA, USA reduction techniques such as recomputation, offload-ing, distributed training, and low-rank adaptation 2025 Rotterdam , Netherlands Reflects downloads up to 13 Mar 2025 Bibliometrics
Documentary Science 2025 Lexus Diane Watson. [2024.05] GLake overview and recent update is presented on AICon 2024 (in Beijing, China, 2024-05-17) here [2024.05] The presentation slides in ASPLOS'24 can be found here GMLake is completely transparent to the DNN models and memory reduction techniques and ensures the seamless execution of resource-intensive deep-learning tasks.