时间 | 主讲人 | 论文题目 | 附件 | 会议/期刊 |
2024.7.2 | 赖民信 | 智能无人系统小组汇报 | 阅读组会240702-智能无人系统小组.pptx | |
2024.6.25 | 李永尚 | 量子组专题报告 | 量子组专题报告.pptx | |
2024.6.18 | 万嘉诚 | ASPEN: Breaking Operator Barriers for Efficient Parallel Execution of Deep Neural Networks | ASPEN.pptx | NIPS 2023 |
2024.5.21 | 孙策 梁运龙 | Chimera: An Analytical Optimizing Framework for Effective Compute-intensive Operators Fusion DBSP: Automatic Incremental View Maintenance for Rich Query Languages | chimera.pptx精读报告-chimera.pdfvldb2023-精读.pptx | HPCA 2023 VLDB 2023 |
2024.5.14 | 徐柴俊 | Reducing Property Graph Queries to Relational Algebra for Incremental View Maintenance | Reducing Property Graph Queries to Relational Algebra for Incremental View Maintenance.pptxReducing Property Graph Queries to Relational Algebra for Incremental View Maintenance_笔记.pdf | SIGMOD'18 |
2024.5.7 | 谭泽霖 | SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills | SARATHI.pdf | |
2024.4.30 | 刘硕、季扬、孙新雨、谭泽霖 | 计算优化组专题报告 | ICDE2020_Kaskade_Graph_Views_for_Efficient_Graph_Analytics.pptx计算优化组阅读组会-v2.pptx | |
2024.4.23 | 黄庄湫 | TOKEN MERGING: YOUR VIT BUT FASTER | ICLR2023_ToMe笔记.pdfICDE2020_Kaskade_Graph_Views_for_Efficient_Graph_Analytics.pptx | ICLR 2023 |
2024.4.16 | 龚磊 | 数据组专题报告 | 数据组阅读组会(3).pptx | |
2024.4.9 | 刘硕 | Optimizing Dynamic-Shape Neural Networks on Accelerators via On-the-Fly Micro-Kernel | MikPoly-ASPLOS24.pptx | ASPLOS 2024 |
2024.4.2 | 丁伯尧 陈金宝 李清伟 唐富根 石磊鑫 | 程序分析组专题报告 | LLM漏洞检测.pptx | |
2024.3.26 | 胡海蓉、李清伟 | Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving Enhancing Static Analysis for Practical Bug Detection: An LLM-Integrated Approach | Reason2Drive.pdf2024-3-26-SPA-LLM.pdfslides-li2024llmenhancingstaticanalysis-handout.pdf | OOPSLA'24 |
2024.3.19 | 龚磊 | A ConvNet for the 2020s (ConvNext) | ConvNext.pptx | CVPR 2020 |
2024.3.5 | 陈金宝 | Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem | ICSE24PyConf.pptx | ICSE 2024 |
2024.2.27 | 李永尚 | Mapping of lattice surgery-based quantum circuits on surface code architectures | QST2019.pptxQST2019笔记.docx | QST 2019 |
2024.1.30 | 万嘉诚 | Performance modeling on DaVinci AI core | 季扬-精读.pptx季扬-精读报告.pdf | MICRO 2023 |
2024.1.30 | 丁伯尧 | Precise and Scalable Points-to Analysis via Data-Driven Context Tunneling | OOPSLA2018 Precise and Scalable Points-to Analysis via Data-Driven.pptxPrecise and Scalable Points-to Analysis via Data-Driven Context Tunneling.pdf | OOPLAS 2018 |
2024.1.30 | 万嘉诚 | AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization | AGO汇报.pptxAGO精度报告.pdf | INFOCOM 2023 |
2024.1.23 | 杨天峰 | BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach | BladeDISC.pptx精读报告.docx | PACM 2023 |
2024.1.23 | 王天宸 | FLAT: An Optimized Dataflow forMitigating Attention Bottlenecks | FLAT__An_Optimized_Dataflow_forMitigating_Attention_Bottlenecks.pptx王天宸 精读报告.pdf | ASPLOS 2023 |
2024.1.9 | 邓皓苧 | QuCT: A Framework for Analyzing Quantum Circuit by Extracting Contextual and Topological Features | 阅读组会分享.pptx邓皓苧精读报告.pdf | MICRO 2023 |
2024.1.2 | 唐富根 | Who goes first? detecting go concurrency bugs via message reordering | GFUZZ.pptx唐富根精读报告.pdf | ASPLOS 2022 |