Cover Image

Event Tensor: A Unified Abstraction for Compiling Dynamic Megakernel

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jin, Hongyi, Hou, Bohan, Wang, Guanjie, Lai, Ruihang, Chen, Jinqi, Ye, Zihao, Cai, Yaxing, Dong, Yixin, Cheng, Xinhao, Zhang, Zhihao, Zhao, Yilong, Huang, Yingyi, Yang, Lijie, Jiang, Jinchen, Oliaro, Gabriele, Ji, Jianan, Miao, Xupeng, Grover, Vinod, Mowry, Todd C., Jia, Zhihao, Chen, Tianqi
Format:	Preprint
Published:	2026
Subjects:	Distributed, Parallel, and Cluster Computing Machine Learning Programming Languages
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Axe: A Simple Unified Layout Abstraction for Machine Learning Compilers
by: Hou, Bohan, et al.
Published: (2026)

Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems
by: Miao, Xupeng, et al.
Published: (2023)

Mirage Persistent Kernel: A Compiler and Runtime for Mega-Kernelizing Tensor Programs
by: Cheng, Xinhao, et al.
Published: (2025)

A System for Microserving of LLMs
by: Jin, Hongyi, et al.
Published: (2024)

ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time
by: Fegade, Pratik, et al.
Published: (2023)

Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
by: Lai, Ruihang, et al.
Published: (2023)

XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models
by: Dong, Yixin, et al.
Published: (2024)

FlexLLM: Token-Level Co-Serving of LLM Inference and Finetuning with SLO Guarantees
by: Oliaro, Gabriele, et al.
Published: (2024)

Fleet: Hierarchical Task-based Abstraction for Megakernels on Multi-Die GPUs
by: Chowdhary, Sangeeta, et al.
Published: (2026)

AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding
by: Li, Zikun, et al.
Published: (2025)

SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification
by: Miao, Xupeng, et al.
Published: (2023)

Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
by: Zhang, Zhengxin, et al.
Published: (2024)

SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning
by: Pan, Rui, et al.
Published: (2025)

SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications
by: Oliaro, Gabriele, et al.
Published: (2024)

TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
by: Yang, Lijie, et al.
Published: (2024)

PithTrain: A Compact and Agent-Native MoE Training System
by: Lai, Ruihang, et al.
Published: (2026)

Modeling Layout Abstractions Using Integer Set Relations
by: Bhaskaracharya, Somashekaracharya G, et al.
Published: (2025)

Mirage: A Multi-Level Superoptimizer for Tensor Programs
by: Wu, Mengdi, et al.
Published: (2024)

Megakernel vs Wavefront GPU Path Tracing
by: Padilla, Rafael, et al.
Published: (2026)

FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving
by: Ye, Zihao, et al.
Published: (2025)

Solsmith: Solidity Random Program Generator for Compiler Testing
by: Li, Lantian, et al.
Published: (2025)

DistractMIA: Black-Box Membership Inference on Vision-Language Models via Semantic Distraction
by: Tang, Hongyi, et al.
Published: (2026)

Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework
by: Tang, Hongyi, et al.
Published: (2025)

XGrammar-2: Efficient Dynamic Structured Generation Engine for Agentic LLMs
by: Li, Linzhang, et al.
Published: (2026)

Pattern Matching in AI Compilers and its Formalization (Extended Version)
by: Cutler, Joseph W., et al.
Published: (2024)

Eliminating Hidden Serialization in Multi-Node Megakernel Communication
by: Oh, Byungsoo, et al.
Published: (2026)

Less Is More: Fast and Accurate Reasoning with Cross-Head Unified Sparse Attention
by: Yang, Lijie, et al.
Published: (2025)

RaMP: Runtime-Aware Megakernel Polymorphism for Mixture-of-Experts
by: Sharma, Vyom, et al.
Published: (2026)

A Performance Model for Warp Specialization Kernels
by: Liu, Zhengyang, et al.
Published: (2025)

Overcoming Long-Context Limitations of State-Space Models via Context-Dependent Sparse Attention
by: Zhan, Zhihao, et al.
Published: (2025)

Optimal Pricing with Unreliable Signals
by: Tang, Zhihao Gavin, et al.
Published: (2026)

Pricing with a Hidden Sample
by: Tang, Zhihao Gavin, et al.
Published: (2026)

Optimal Kernel Orchestration for Tensor Programs with Korch
by: Hu, Muyan, et al.
Published: (2024)

Classifications and bifurcations of tangent points and their loops of planar piecewise-smooth systems
by: Fang, Zhihao, et al.
Published: (2024)

MambaUIE&SR: Unraveling the Ocean's Secrets with Only 2.8 GFLOPs
by: Chen, Zhihao, et al.
Published: (2024)

Part-Attention Based Model Make Occluded Person Re-Identification Stronger
by: Chen, Zhihao, et al.
Published: (2024)

Bifurcations and explicit unfoldings of grazing loops connecting one high multiplicity tangent point
by: Fang, Zhihao, et al.
Published: (2024)

RAP: Retrieve, Adapt, and Prompt-Fit for Training-Free Few-Shot Medical Image Segmentation
by: Mao, Zhihao, et al.
Published: (2026)

Accelerating Retrieval-Augmented Language Model Serving with Speculation
by: Zhang, Zhihao, et al.
Published: (2024)

Atlas: Hierarchical Partitioning for Quantum Circuit Simulation on GPUs (Extended Version)
by: Xu, Mingkuan, et al.
Published: (2024)