Gmlake Asplos 2025 Lexus. 2025 Lexus Es 350 Ultra Luxury Inventory William Mackenzie ASPLOS'24: International Conference on Architectural Support for Programming Languages and Operating Systems Lightning Talks - Session 8B: Memory: Address Tr. GMLake: Efficient and Transparent GPU Memory Defragmentation
Documentary Science 2025 Lexus Diane Watson from dianewatson.pages.dev
GMLake can reduce 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 Multi-path CPU-GPU IO throughput is improved by exploiting multiple transfer paths concurrently.
Documentary Science 2025 Lexus Diane Watson
2025 Rotterdam , Netherlands Reflects downloads up to 13 Mar 2025 Bibliometrics GMLake can reduce 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 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
Mke Airshow 2025 Lexus Warren Metcalfe. Large-scale deep neural networks (DNNs), such as large language models (LLMs), have revolutionized the. [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
Dghrd Agt 2025 Lexus Sally Paige. A novel memory allocation framework based on low-level GPU virtual memory management called GPU memory lake (GMLake) is proposed, which is completely transparent to the DNN models and memory reduction techniques and ensures the seamless execution of resource-intensive deep-learning tasks GMLake can reduce 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