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ORCID17th APPT 2026: Brussels, Belgium
- Lieven Eeckhout, Chao Li
, Zhibin Yu, Avi Mendelson:
Advanced Parallel Processing Technologies - 17th International Symposium, APPT 2026, Brussels, Belgium, July 27, 2026, Proceedings. Lecture Notes in Computer Science 16693, Springer 2027, ISBN 978-981-92-4804-9
Featured Articles
- Lang Yuan, Linbo Qiao, Yu Tang, Mingxiang Zhu, Wei Shang, Dongsheng Li:
ZIPPer: A Fine-Grained Co-design of ZeRO-DP and Pipeline Parallelism for LLM Training on Heterogeneous GPUs. 3-17 - Yunqian Luo, Mingyu Gao:
obliv-clang: Real-World Oblivious Programming in C++. 18-33 - Danni Wang, Hao Yu, Zili Zhou, Sizhao Li, Guisheng Yin, Donghui Guo:
Uni-Winograd: A Massively Resource-Efficient and Unified Radix-4 NTT Architecture for PQC Algorithms. 34-48 - Yuxuan Liu, Yeh-Ching Chung, Shuang Chen:
Barbell: An Extensible Generator of On-demand Loads for Interactive Cloud Services. 49-63
LLM Inference
- Hao Zhang, Xiaoli Gong, Haoran Li, Huayou Su, Qingxia Chen, Jin Zhang:
JSQKV: Joint Sparsification and Quantization for KV-Cache Compression and Decode Acceleration. 67-81 - Chengwei Li, Guangda Liu, Jieru Zhao, Quan Chen, Minyi Guo:
LocalKV: Leveraging Sparse Attention Locality for Efficient Long-Context LLM Inference. 82-96 - Zichuan Wang, Huizheng Wang, Yuheng Xiao, Haonan Zuo, Taiquan Wei, Jinyi Deng, Chao Li, Yang Hu, Shouyi Yin:
MOCAP: Wafer-Scale-Chip-Oriented Memory-Orchestrated Chunked Pipelining Framework for Prefill-Only LLM Inference. 97-111 - Fengrui Zuo, Zhiwei Ke, Yiming Liu, Cheng Tang, Wenqi Lou, Teng Wang, Lei Gong, Chao Wang, Xuehai Zhou:
Window-Diffusion: Accelerating Diffusion Language Model Inference with Windowed Token Pruning and Caching. 112-125
Serving Systems
- Zhuohang Bian, Feiyang Wu, Zhuoran Li, Yibo Zhao, Junchi Wu, Xuxiao Yang, Youwei Zhuo:
TokenSimV2: Accurate and Fast LLM Inference on GPUs via Dynamic Graph Modeling. 129-141 - Chang Liu, Jiacheng Liu, Xiaofeng Hou, Minyi Guo:
TierServe: Revenue-Maximizing LLM Inference Scheduling Across Multiple Subscription Tiers. 142-156 - Weitao Wan, Huanchen Zhang, Mingyu Gao:
Identifying Iso-Cost Sweet Spot Configurations for Cloud OLAP Queries. 157-171
LLM Workflows
- Rongyu Luo, Lingxiao Zhao, Yuezhi Che:
Characterizing and Mitigating Context Redundancy in LLM Agent Workflows. 175-188 - Yiming Li, Yichi Chen, Laiping Zhao, Wenyu Qu:
Do Not Let Sandboxes Sit Idle: Cross-Agent Sandbox Re-allocation for LLM Agents. 189-202 - Yapeng Li, Hu Zhang, Jibin Wang, Jing Chen, Lijuan Xu:
CGR: A Budget-Aware Closed-Loop Framework for Efficient Knowledge Graph Question Answering. 203-218
AI Design Automation
- Jian Zuo, Junzhe Liu, Xianyong Wang, Chen Liang, Navya Goli, Umamaheswara Rao Tida, Zhenge Jia, Zhaoyan Shen, Mengying Zhao:
SysVCoder: An LLM-Driven Framework for Systematic Generation of System-Level Design. 221-237 - Bingjie Liu, Zhongchun Zheng, Xianwei Zhang:
TensorAgent: Multi-agent Framework for Automated Tensor Core Code Generation. 238-252 - Junyu Yue, Chongxi Wang, Jinpeng Ye, Jianan Xie, Ziyang Liu, Wenqing Li, Chao Yang, Longbing Zhang, Fuxin Zhang, Jian Wang:
CUTE-XS: Bottleneck Analysis and Collaborative Optimization for Integrating CUTE Into XiangShan. 253-266
Scalable Computing
- Yonghua Huang, Baodong Wu, Shigang Li, Jiahao Ding, Rongtian Fu, Qingping Li, Boxun Li, Zhenhua Zhu, Yu Wang:
C3FT: Computation-Centric Checkpointing for Distributed Large Model Training. 269-281 - Zihan Liu, Yizhen Wang, Rui Wang, Youhui Bai, Sai Wu:
FlexUSFL: A Scalable and Memory-Efficient U-Shaped Split Federated Learning Framework for Large Language Model Fine-Tuning. 282-297 - Siyue Chen, Junshi Chen, Yang Zhao, Yunchi Deng, Yi Zhang, Hong An, Juchun Ding:
SAW3D: A Performance-Portable Solver for Compressible Turbulence at the 풪(1010)-Cell Scale on Heterogeneous Supercomputers. 298-310
AI Accelerators
- Zixuan Zeng, Chen Zhang, Zhe Liu, Peng Li:
BitFly: A Low-Bit Mixed-Precision Acceleration Framework for Edge RISC-V Vector Processors. 313-329 - Qiyan Fang, Yifan Wang, Yongwei Zhao, Yi Chen, Zetao Guo:
Fold-FP4: Folding for Energy Efficient FP4 Matrix Multiplication. 330-342 - Yanwei Wang, Jun Liu, Wei Huang, Qun Li, Tianle Mai, Keqiu Li:
Helios: Scalable Multi-accelerator FPGA Architecture for Efficient Inference of Transformer-Based Models. 343-358 - Xuchang Liu, Chang Liu, Jun Wang, Li Shen:
A Hierarchical Adaptive Posit-CIM Architecture for Edge Transformer Inference. 359-371
Kernel Acceleration
- Shengwei Li, Zhiquan Lai, Shuai Xu, Shun Ouyang, Han Xiao, Zhaoning Zhang, Menghan Jia, Huayou Su, Dongsheng Li:
DOA: Dataflow Optimization for Attention on Multi-core DSPs with Three-Level Memory Hierarchy. 375-389 - Yuxiang Zhang, Jianhua Gao, Weixing Ji:
ARROW: Adaptive Row Reorganization for Warp-Balanced SpMV. 390-403 - Qian Xiong, Weiliang Ma, Ligang He, Yufan Bai, Yao Chen, Hai Jin, Xuanhua Shi:
HieraNTT: A Memory Hierarchy-Aware Data Access Architecture for Efficient Number Theoretic Transform on GPU. 404-419
Streaming Accelerators
- Xuzhuo Hu, Jianyang Ding, Bowen Jiang, Huachen Zhang, Tianshuo Lu, Zhilei Chai:
A Configurable Streaming Accelerator for LUT-Based Super-Resolution on FPGA. 423-435 - Hai Cao, Puguang Liu, Zhang Luo, Yuan Li, Jihang Wang, Xingyun Qi, Mingche Lai:
TL-Sort: A Fully Pipelined Hardware Architecture for Sorting Without Run-Drain Stalls. 436-449 - Jingrui Yuan, Qinggang Wang, Haoran Zhu, Jin Zhao, Xiaofei Liao:
Hardware-Accelerated Streaming Graph Processing with Fast Refinement. 450-463
Secure Systems
- Chang Liu, Xin Zhang, Dapeng Ju, Yongqiang Lyu, Dongsheng Wang:
Pitfall: Uncovering and Exploiting the Store Forwarding Predictor on Intel CPUs. 467-482 - Xinyao Zheng, Husheng Han, Shangyi Shi, Qiyan Fang, Zidong Du, Xing Hu, Qi Guo:
InputSnatch: Stealing Input in LLM Services via Cache-Sharing Timing Side-Channel Attacks. 483-497 - Yunpeng Xu, Yuchen Fan, Yu Jin, Shuangjie Yao, Jia Zhang, Teng Ma, Shuwen Deng:
TArCS: Trusted and Attack-Resilient Clock Source with TEE and RDMA. 498-512
Data Efficiency
- Han Xu, Ziyang Liu, Weitong Wang, Yuyangheng Wang, Fuxin Zhang:
CRAFT: Exploiting Precharge Cost Asymmetry for Adaptive DRAM Row Buffer Management. 515-530 - Zhichao Yang, Xiangyu Zou, Wen Xia, Boou Jiang:
Improving Compression Ratio of Lossy Compression for HPC via Modeling-Based Arithmetic Coding. 531-546 - Husheng Han, Di Huang, Tianyun Ma, Xinyao Zheng, Jianan Mu, Zidong Du, Xing Hu, Qi Guo:
VecTEE: Compact TEE Metadata Caching for Efficient Secure Vector Computing. 547-561
Poster Papers
- Zitong An, Kangkang Chen, Huayou Su, Jinwei Xu, Xi Yang:
AMXStencil: Boosting the Performance of Stencil Computations on AMX-Powered CPUs via Fusion. 565-571 - Sizhao Li, Zili Zhou, Wei Li, Chenyu Zhai, Bingrui Guo, Donghui Guo:
S2M: Spatiotemporal-Cooperative Symbiotic Memory for Heterogeneous PQC Acceleration. 572-578 - Zheng Xu, Jiaxin Liu, Dehao Kong, Jiamu Fu, Xu Dai, Lei Wang, Jian Weng, Jinyi Deng, Yang Hu, Shouyi Yin:
WaferSim: A Simulation Infrastructure for LLM Service on Wafer-Scale Chips. 579-585 - Han Yang, Xiaofeng Hou, Jiacheng Liu, Xiaozhi Zhu, Chao Li:
OrbitGuard: Hierarchical Orbit-Aware Runtime for Spaceborne LLM Inference. 586-591 - Xiangtao Guan, Shuyao Cheng, Rui Zhang, Zidong Du:
MV-BSD: Multi-variable Speculation Diagrams for Compact Automated Logic Design. 592-598 - Ninghui Shang, Ying Liu, Zecheng Zhou, Jiyong Hu, Zhiqiang Guo, Zhiyuan Chen, Wentao Zhao, Guoxiang Li, Peiyu Chen, Yufei Ma, Le Ye:
RV-CIM: Energy-Delay Optimized Mapping and Architecture Co-Design for a RISC-V Multi-core SoC with Configurable DCIM Cluster. 599-606 - Shuai Yuan, Zhou Liang, Yuanbo Wen, En Shao, Guangming Tan:
LLM-SYCL: Automated SYCL Generation from CUDA via Search-Driven LLM Translation. 607-612 - Qin Zhu, Fanzi Zeng, Kenli Li, Hai Tan, Mengyuan Zhang, Haoran Kong, Longbao Dai, Wenlong Liu, Xiang Zhu:
Characterizing and Mitigating I/O Bottlenecks in LLM Inference on Disaggregated HPC Systems. 613-618 - Jinfei Hu, Liqiong Yang, Jingyi Wang, Jian Wang:
A Bottom-Up Approach for Die-to-Die Interconnect Optimization: From PHY Latency Reduction to System-Level Design Implications. 619-624 - Ao Zhou, Bo Dai, Le Yu, Xingyu Liu, Zeyu Hao, Lingkun Long, Chunming Hu, Jianlei Yang:
EcoVLA: Energy-Efficient Device-Edge Co-inference for Vision-Language-Action Models Under Real-Time Constraints. 625-631 - Ruiyang Xia, Yifan Hao, Yuming Zhao, Liu Yang, Yongwei Zhao, Zidong Du, Xing Hu, Li Wei, Qi Guo:
COMET: An FP32 Matrix Multiplication Accelerator by Extending INT8-Based Arrays. 632-637
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