# PPoPP 2026
## Meta Info
Homepage:
Paper list:
## Papers
### LLM
* LLM training
* CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training
* ICT, CAS & Ant Group
* COCCL: A Collective Communication Library Supporting Easy Integration and Configuration of Customized Compression for Scalable LLM Training
* ICT, CAS & CUHK-SZ
* Elastor: Elastic and Efficient Model Partitioning and Checkpointing for Fault-tolerant Distributed Training
* PKU
* HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism \[[arXiv](https://arxiv.org/abs/2507.00394)] \[[Code](https://github.com/zxgx/Megatron-LM/tree/dev)]
* NUS
* LLM inference
* JanusQuant: Accurate and Efficient 2-bit KV Cache Quantization for Long-context Inference
* WHU
* Laser: Unlocking Layer-Level Scheduling for Efficient Multi-SLO LLM Serving
* SYSU
* High-Throughput Non-Uniformly Quantized 3-bit LLM Inference
* CUHK & HKUST
* Accelerating Sparse Transformer Inference on GPU
* CUP-Beijing & BUAA
* Attention
* FlashAttention-T: Towards Fully Tensorized Attention by Exploiting Tensor-Vector Parallelism
* USTC & ICT, CAS
* MetaAttention: A Unified and Performant Attention Framework Across Hardware Backends \[[arXiv](https://arxiv.org/abs/2502.15349)] \[[Code](https://github.com/microsoft/AttentionEngine)]
* SJTU, IPADS & PKU & MSRA
### Diffusion Models
* Difflow: A Data-Characteristic-Aware Serving System for Diffusion Models
* THU
* MixFusion: A Patch-Level Parallel Serving System for Mixed-Resolution Diffusion Models
* UWaterloo & CMU & Rice
### GNN
* APERTURE: Algorithm-System Co-Optimization for Temporal Graph Network Inference
* BUAA
* ElasGNN: An Elastic Training Framework for Distributed GNN Training
* BUAA
* TAC: Cache-based System for Accelerating Billion-Scale GNN Training on Multi-GPU Platform
* UCAS
### Sparse Matrix
* ASM-SpMM: Unleashing the Potential of Arm SME for Sparse Matrix Multiplication Acceleration
* SYSU
* Exploiting Efficient Mapping and Pipelined Execution for Accelerating SpMV on Tensor Cores
* BUAA
* VDHA: Vector-Driven Hash Aggregation for Sparse Matrix–Sparse Vector Multiplication on GPUs
* THU
### Quantization
* RoMeo: Mitigating Dual-dimensional Outliers with Rotated Mixed Precision Quantization \[[Artifact](https://github.com/thu-pacman/RoMeo)]
* THU
### Cache Management
* Cacheman: A Comprehensive Last-Level Cache Management System for Multi-tenant Clouds
* Alibaba Cloud
### Misc
* Scaling GPU-to-CPU Migration for Efficient Distributed Execution on CPU Clusters
* GaTech
* zBuffer: Zero-Copy and Metadata-Free Serialization for Fast RPC with Scatter-Gather Reflection
* XMU & Alibaba & SJTU
## Acronyms
* LLM: Large Language Model
* GNN: Graph Neural Network
* SpMM: Sparse Matrix-Matrix Multiplication
* SpMV: Sparse Matrix-Vector Multiplication
* RPC: Remote Procedure Call
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