Papers
Principles and Methodologies for Serial Performance Optimization
Sujin Park, Mingyu Guan, Xiang Cheng et al.
Neutrino: Fine-grained GPU Kernel Profiling via Programmable Probing
Songlin Huang, Chenshu Wu
Training with Confidence: Catching Silent Errors in Deep Learning Training with Automated Proactive Checks
Yuxuan Jiang, Ziming Zhou, Boyu Xu et al.
Bayesian Code Diffusion for Efficient Automatic Deep Learning Program Optimization
Isu Jeong, Seulki Lee
BlitzScale: Fast and Live Large Model Autoscaling with O(1) Host Caching
Dingyan Zhang, Haotian Wang, Yang Liu et al.
WaferLLM: Large Language Model Inference at Wafer Scale
Congjie He, Yeqi Huang, Pei Mu et al.
QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach
Shouyang Dong, Yuanbo Wen, Jun Bi et al.
Mirage: A Multi-Level Superoptimizer for Tensor Programs
Mengdi Wu, Xinhao Cheng, Shengyu Liu et al.
KPerfIR: Towards a Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads
Yue Guan, Yuanwei Fang, Keren Zhou et al.
Skybridge: Bounded Staleness for Distributed Caches
Robert Lyerly, Scott Pruett, Kevin Doherty et al.
Quake: Adaptive Indexing for Vector Search
Jason Mohoney, Devesh Sarda, Mengze Tang et al.
Mako: Speculative Distributed Transactions with Geo-Replication
Weihai Shen, Yang Cui, Siddhartha Sen et al.
Tigon: A Distributed Database for a CXL Pod
Yibo Huang, Haowei Chen, Newton Ni et al.
Enabling Efficient GPU Communication over Multiple NICs with FuseLink
Zhenghang Ren, Yuxuan Li, Zilong Wang et al.
To PRI or Not To PRI, That's the question
Yun Wang, Liang Chen, Jie Ji et al.
FineMem: Breaking the Allocation Overhead vs. Memory Waste Dilemma in Fine-Grained Disaggregated Memory Management
Xiaoyang Wang, Yongkun Li, Kan Wu et al.
Picsou: Enabling Replicated State Machines to Communicate Efficiently
Reginald Frank, Micah Murray, Chawinphat Tankuranand et al.
Deriving Semantic Checkers from Tests to Detect Silent Failures in Production Distributed Systems
Chang Lou, Dimas Shidqi Parikesit, Yujin Huang et al.
Basilisk: Using Provenance Invariants to Automate Proofs of Undecidable Protocols
Tony Nuda Zhang, Keshav Singh, Tej Chajed et al.
BFTBrain: Adaptive BFT Consensus with Reinforcement Learning
Chenyuan Wu, Haoyun Qin, Mohammad Javad Amiri et al.
Resolving Packets from Counters: Enabling Multi-scale Network Traffic Super Resolution via Composable Large Traffic Model
Xizheng Wang, Libin Liu, Li Chen et al.
CATO: End-to-End Optimization of ML-Based Traffic Analysis Pipelines
Gerry Wan, Shinan Liu, Francesco Bronzino et al.
Mutant: Learning Congestion Control from Existing Protocols via Online Reinforcement Learning
Lorenzo Pappone, Alessio Sacco, Flavio Esposito
When P4 Meets Run-to-completion Architecture
Hao Zheng, Xin Yan, Wenbo Li et al.