会议日程安排

第一天 12月27日

地点:吉林大学前卫南区敬信报告厅

09:00-09:10

开场仪式

09:10-09:50

特邀报告一

Qwen & Wan 大模型背后的系统创新:训练、推理与服务的全栈挑战

钱正平,阿里云智能AI系统研究与战略总监

09:50-10:30

特邀报告二

异构融合操作系统技术挑战和架构思考

郭寒军,华为异构融合OS首席架构师

10:30-11:00

新星/优博奖颁奖及上午茶歇(30分钟)

Session S1—内存系统与操作系统

11:00-12:15(75分钟)

  1. CortenMM: Efficient Memory Management with Strong Correctness Guarantees (#6)
  2. Object-Aware Memory Compression for Smartphones (#19)
  3. How to Copy Memory? Coordinated Asynchronous Copy as a First-Class OS Service (#37)
  4. AlloyStack: A Library Operating System for Serverless Workflow Applications (#77)
  5. SeqAss: Conflict-Resilient Last-Level Cache against Side-Channel Attacks (#113)

12:15-14:00

午餐 湖畔餐厅智慧食堂

Session S2—AI训练与大模型系统

14:00-15:30(90分钟)

  1. CCL-D:A High-Precision Diagnostic System for Large-Scale Model Training (#1)
  2. Efficient and Adaptable Overlapping for Computation and Communication (#8)
  3. AutoHAAP:Automated Heterogeneity-Aware Asymmetric Partitioning for LLM Training (#14)
  4. Neuralink: Fast LLM Inference on Smartphones (#91)
  5. PAT:Accelerating LLM Decoding via Prefix-Aware Attention (#116)
  6. FlexPipe:Maximizing Training Efficiency for Transformer Models (#300)

15:30-16:00

下午茶歇(30分钟)

Session S3—存储系统与数据库

16:00-17:10(75分钟)

  1. FalconFS:Distributed File System for Large-Scale Deep Learning Pipeline (#42)
  2. DumpKV: Learning-Based Lifetime-Aware Garbage Collection for LSM-tree (#36)
  3. Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engines (#69)
  4. OceanBase Unitization:Building the Next Generation of Online Map Applications (#84)
  5. KVCache Cache in the Wild:Characterizing and Optimizing KVCache Cache at a Large Cloud Provider (#96)

产业论坛

17:15-18:15(60分钟)

  • 大模型长上下文微调中的高效动态数据调度,沈雯婷(阿里云)
  • 鸿蒙Web技术栈的演进以及挑战,王佐(华为)
  • Beyond Autoregression: Diffusion LLM 推理加速的现在与未来,郑达(蚂蚁技术研究院)
  • 腾讯算力平台联邦调度架构设计与实践,胡子千(腾讯)

18:30-20:00

晚宴 莘子园三楼

20:30

执委会闭门会议 王湘浩楼 A117

第二天 12月28日

地点:吉林大学前卫南区敬信报告厅

09:00-09:40

特邀报告三

一个软工人的辩白

蒋炎岩,南京大学计算机学院副教授

09:40-10:20

特邀报告四

系统方向的读博攻略

张焕晨,清华大学交叉信息研究班(姚班)助理教授

10:20-10:50

上午茶歇(30分钟)

Session S4—图系统与向量检索

10:50-12:05(75分钟)

  1. OdinANN:Direct Insert for Stable Billion-Scale Vector Search (#49)
  2. APERTURE:Algorithm-System Co-Optimization for Temporal Graph Network Inference (#74)
  3. Optimizing Data Acquisitions in Multi-Robot Systems (#114)
  4. Query-Aware Path Inference from Spatial Videos (#195)
  5. FlashANNS:GPU-Driven I/O Pipelining for Billion-ScaleSimilarity Search(#223)

12:05-13:30

午餐 湖畔餐厅智慧食堂

Session S5—加速器与异构计算架构

13:30-14:30(60分钟)

  1. EARTH:An Efficient MoE Accelerator with Entropy-Aware Speculative Prefetch (#46)
  2. LightDSA:Enabling Efficient DSA Through Hardware-Aware Transparent Optimization (#62)
  3. Chimera:Transparent and High-Performance ISAX Heterogeneous Computing via Binary Rewriting (#75)
  4. ASIC-based Compression Accelerators for Storage Systems (#142)

14:30-14:45

中场休息(15分钟)

Session S6—近存计算与专用加速器

14:45-15:30(45分钟)

  1. SnakeMan:Applying Relation-Centric Notation to Optimize Data Swizzle in Modern NPUs (#82)
  2. PIMLex:A High-Performance Learned Index with Processing-in-Memory (#85)
  3. Uni-STC:Unified Sparse Tensor Core (#88)

Session S7—系统基础、安全与评测

15:30-16:15(45分钟)

  1. CuFHEDB: GPU-Accelerated Fully Homomorphic Encryption Database (#80)
  2. ccAl:A Compatible and Confidential System for AI Computing (#89)
  3. TraceRTL:Agile Performance Evaluation for Microarchitecture Exploration (#97)

16:15

闭幕致辞暨会议结束