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ORCIDICPP 2025: San Diego, CA, USA
- Proceedings of the 54th International Conference on Parallel Processing, ICPP 2025, San Diego, CA, USA, September 8-11, 2025. ACM 2025, ISBN 979-8-4007-2074-1
AI
- Quan Deng, Lin Gan, Hongkun Yu, Wenlai Zhao, Guangwen Yang:
Auto-Stencil: Performance-Driven Stencil Optimization with Hardware Feedback for LLMs. 1-10 - Ronghuai Chen, Ce Yu, Hao Fu, Xiaoteng Hu, Bin Yang:
MixLoRA: An Efficient Multi-Tenant Framework for Concurrently Serving Diverse LoRA Models in Large Language Models. 11-21 - Yiduo Wang, Wenda Tang, Linghang Meng, Liang Li, Jie Wu:
Origami: Efficient ML-Driven Metadata Load Balancing for Distributed File Systems. 22-32 - Haonan Jiang, Yusen Li, Xiaoguang Liu, Gang Wang, Xuebo Zhang:
Solving Extended Flexible Job Shop Scheduling Problems with Deep Reinforcement Learning. 33-42 - Hao Dong, Yuehao Xu, Xiaohui Wang, Xinhua Ji, Zhijun Ding:
CoreTuner: Predicting and Scheduling Framework for Optimizing the Joint Allocation of CPU and GPU in Training Cluster. 43-52 - Jin Wang, Chenye Zhu, Jinbin Hu:
A High-Accuracy Sketch for Measuring Low-Entropy Flows in Distributed AI Training. 53-62 - Sooho Jang, Ahyeon Lim, Yuchan Lee, Sookwang Lee, Jaehwan Lee:
P3P-Fed: Peer-to-Peer Personalized Federated Learning with DHT-based Local Clustering. 63-72 - Tianle Li, Yongzhi Huang, Linshan Jiang, Qipeng Xie, Chang Liu, Wenfeng Du, Lu Wang, Kaishun Wu:
FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios. 73-82 - Chenghao Nu, Zhe Zhang, Ye Li, Yanchao Zhao:
It Takes Two: Accelerating Accurate Federated Learning through Pipelined Intra-Batch Data Sampling and Training. 83-93 - Joshua Hoke Davis, Daniel Nichols, Ishan Khillan, Abhinav Bhatele:
ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks. 94-103 - He Bai, Hui Li, Jianming Que, Minglong Zhang, Zhiqiang Hu, Ximing Xu, Bing Lin, Runhuai Huang, Junyang Qiu, Shaowen Deng:
Pisces: Towards Adaptive and Fair Congestion Control via Multi-Agent Meta-Reinforcement Learning. 104-114
Algorithms
- Zhiyi Zhang, Junshi Chen, Jingwei Sun, Pengfei Zhang, Zhuopin Xu, Jun Shi, Qi Wang:
WinRS: Accelerate Winograd Backward-Filter Convolution with Tiny Workspace. 115-124 - Dinghuang Hu, Dezun Dong, Xiangke Liao:
SINA: Accelerating Time Synchronization in Large-Scale Network Simulation Using In-Network Allreduce. 125-134 - Chuhe Hong, Qinglin Wang, Xing Peng, Gencheng Liu, Qingyang Zhang, Xinhai Chen, Jie Liu:
VES: Vectorized Sparse General Matrix-Matrix Multiplication on Multi-Core DSPs. 135-145 - Pengyu Wang, Xiaotian Chen, Jianbin Fang, Peng Zhang, Yonggang Che, Chun Huang, Jie Ren:
Optimizing Direct Convolutions on High-Performance Multi-Core DSPs. 146-156 - Cameron Bradley, Anju Mongandampulath Akathoott, Martin Burtscher:
Fast Exact Diameter Computation of Sparse Graphs. 157-167 - Fengkui Yang, Yuanzhang Wang, Chunhua Li, Ke Zhou, Hui Li:
SpeedSketch: An Ultra-Fast Sketch Generation and Delta Encoding Framework for Delta Compression. 168-177 - Maxime Gonthier, Kyle Chard, Ian T. Foster, Loris Marchal, Frédéric Vivien:
Deadline-Aware Scheduling of Mixed-Criticality Tasks. 178-187 - Zhengding Hu, Yi Zong, Jingwei Sun, Wei Xue, Guangzhong Sun:
A Fast Sparse Triangular Solve for Structured-grid Problems on Heterogeneous Processors. 188-198 - Changjie Xu, Ke Meng, Zhiheng Lin, Guangming Tan:
PISCES: Push-Pull Hybrid Optimization for Graph Pattern Matching. 199-207 - Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna:
AMPED: Accelerating MTTKRP for Billion-Scale Sparse Tensor Decomposition on Multiple GPUs. 208-217 - Yicong Luo, Senhe Hao, Brian Wheatman, Prashant Pandey, Helen Xu:
Bridging Cache-Friendliness and Concurrency: A Locality-Optimized In-Memory B-Skiplist. 218-227 - George M. Slota, Michael Mandulak:
Scaling Distributed Graph Processing to Hundreds of GPUs. 228-237 - Pál András Papp, Toni Böhnlein, Albert-Jan Nicholas Yzelman:
Multiprocessor Scheduling with Memory Constraints: Fundamental Properties and Finding Optimal Solutions. 238-247
Applications
- Xin Yong, Li Yan, Zhuozhao Li:
Heterogeneity-aware Task Scheduling based on Personalized Federated Reinforcement Learning. 248-257 - Yubing Bao, Zhihui Lu, Qiang Duan, Xin Du, Zhongyu Chen, Yicong Zhao, Xiaoyi Li, Yandan Tan, Shuhan Yang, Ziyi Wang, Yang Chen, Yang Xu:
BMapper: A Scalable and Efficient Framework for Brain Simulations Acceleration on Supercomputers. 258-267 - Antonio De Caro, Gennaro Cordasco, Biagio Cosenza:
SYgraph: A Portable Heterogeneous Graph Analytics Framework for GPUs. 268-277 - Xingyu Liu, Jiawei Liang, Linfeng Du, Yipu Zhang, Chaofang Ma, Hanwei Fan, Jiang Xu, Wei Zhang:
FLEX: Leveraging FPGA-CPU Synergy for Mixed-Cell-Height Legalization Acceleration. 278-287 - Brian Curless, Michael Gowanlock:
Fast and Scalable Mixed Precision Euclidean Distance Calculations Using GPU Tensor Cores. 288-298 - João Brotas, Ricardo Nobre, Aleksandar Ilic:
Thievory: Graph Processing with Multi-GPU Memory Stealing. 299-308 - Prajjwal Nijhara, Lokesh Venkatachalam, Agam Harpreet Singh, Athreya Chandramouli, Sayantan Jana, Kishore Kothapalli, Dip Sankar Banerjee:
Efficient Parallel Algorithms for Dynamic Percolation Centrality. 309-319 - Zesong Wang, Peng Fang, Fang Wang, Hong Jiang, Yimin Lu, Zhan Shi, Dan Feng:
SpiderCache: Semantic-Aware Caching Strategy for DNN Training. 320-330
Architecture
- Matthew Barondeau, Sophia Jiang, Jonathan Beard, Andreas Gerstlauer:
ViReC: The Virtual Register Context Architecture for Efficient Near-Memory Multithreading. 331-341 - Guanglei Xu, Hai Zhou, Yuchong Hu, Dan Feng, Renzhi Xiao:
Accelerating Erasure Coding on Persistent Memory via Adaptive Prefetcher Scheduling. 342-351 - Ruisong Zhou, Peng Wang, Chunhua Li, Ke Zhou, Hui Li:
ADAPT: Dynamic Grouping and Cross-Group Aggregation for GC-Efficient Log-Structured Storage in SSD Arrays. 352-361 - Junru Shen, Miao Cai, Kangyue Gao, Baoliu Ye, Guo Cheng:
HeatList: The Case for Retrofitting In-memory Range Index with Hotspot Awareness. 362-373 - Lizhi Zhang, Menghan Jia, Zhiquan Lai, Qiao Li, Yiming Zhang, Dongsheng Li:
HMGraph: Boosting GNN Training on Hierarchical Memory via Coordinated Cache. 374-384 - Shuai Lin, Rui Wang, Zaigui Zhang, Long Deng, Wenzhe Zhu, Yongkun Li, Yinlong Xu:
PTWalker: Cache-Efficient Random Walks via Alternating Dual-Subgraph Walker Updating. 385-395 - Baosen Zhao, Jianan Sun, Xu Zhou, Wanghong Yang, Wenji Du, Fukang Chen, Yongmao Ren, Stefan Schmid:
Efficient Cross-Datacenter Congestion Control with Fast Control Loops. 396-405 - Wenqi Lou, Yunji Qin, Zihao Wang, Chao Wang, Lei Gong, Xuehai Zhou:
Automated FPGA Accelerator Generation Framework for Transformers with Dataflow Optimization. 406-416 - Xue Xiao, Yi Dai, Yanqiang Sun, Jianmin Zhang, Tiejun Li:
Design of Interposer Interconnection Network Based on High-Radix Interposer Routers. 417-427 - Xin Ju, Jingkui Yang, Mei Wen, Jun He, Jing Feng, Minjin Tang, Zhaoyun Chen, Yang Shi:
SmartBlock: Adaptive Block Floating Point Quantization for Efficient DNN Acceleration. 428-438 - Xianfa Zhou, Tun Li, Yuhuan Xia, Ruiyu Zhang:
COF: Cycle and transmission co-mapping framework for CNN mapping in PIM architecture. 439-448 - Yuan Ma, Srinivasan Subramaniyan, Xiaorui Wang:
Power Capping of GPU Servers for Machine Learning Inference Optimization. 449-459 - Zhongchun Zhou, Chengtao Lai, Wei Zhang:
LLaMCAT: Optimizing Large Language Model Inference with Cache Arbitration and Throttling. 460-469
Multidisciplinary
- Haibin Lai, Sicheng Zhou, Site Fan, Zhuozhao Li:
ParaCOSM: A Parallel Framework for Continuous Subgraph Matching. 470-479 - Yanfeng Lu, Tao Wu, Chao Chang, Hongjun Wang, Mingxing Ke, Jian Wang:
Heterogeneity-aware Federated Edge Learning via UAV Sampling and D2D Communications. 480-489 - Abdullah Al-Mamun, Dongfang Zhao, Gagan Agrawal, Ahmed Aleroud, Mohamed I. Ibrahem:
ZTP: A Scalable and Lightweight Privacy-Preserving Blockchain via Scale-Free Quorums and Geometric Fragmentation. 490-499 - Evelyne Ringoot, Rabab Alomairy, Valentin Churavy, Alan Edelman:
Performant Unified GPU Kernels for Portable Singular Value Computation Across Hardware and Precision. 500-510
Performance
- Da Huo, Zhenzhe Zheng, Xiaoyao Huang, Hao Chen, Jianfeng Hu, Zhiyong Yan, Fan Wu, Jie Wu:
Joint Prediction and Matching for Computing Resource Exchange Platforms. 511-520 - Yangfan Qiao, Zhuozhao Li:
Lias: Leveraging Performance Counters for Interference Quantification and Mitigation in Multi-processor Systems. 521-530 - Elliott D. Binder, Jeffrey Low, Tze Meng Low:
Architecture-Aware Models of AI Engines for High-Performance Matrix Matrix Multiplication. 531-540 - Diaohan Luo, Zhen Tang, Heran Gao, Yuewen Wu, Heng Wu, Xi Han, Wenbo Zhang:
Scheduling based on Block Features for Concurrent Inference with Unseen DNN Models on GPU. 541-552 - Yongzhen Shi, Qinglin Wang, Jie Liu, Lian Wang, Zhiyan Liu, Bingwei Wang, Feiming Liu, Xiangdong Pei:
Optimizing Incomplete Cholesky Factorization on MIMD Many-core Architecture. 553-563 - Kelun Lei, Hailong Yang, Kaige Zhang, Shaokang Du, Marc Casas, Yufan Xu, Zhongzhi Luan, Yi Liu, Depei Qian:
OVERT: Orchestrating Vector-Scalar Execution for Efficient SpMV on Modern CPUs. 564-574 - Xuezhu Wang, Hailong Yang, Xin You, Yufan Xu, Xiaoyan Liu, Siqi Wang, Kaige Zhang, Mingzhen Li, Zhongzhi Luan, Yi Liu, Depei Qian:
ESC: Effective Submanifold Convolution using Tensor Cores. 575-585 - Boyu Du, Jingya Zhou, Jin Wang, Jiangwei Wang, Zhijun Li:
Joint Task Scheduling and Resource Allocation in Cloud-Edge Collaborative Computing Systems. 586-596 - Matheus Costa, Philippe O. A. Navaux, Silvio Rizzi, Arthur Francisco Lorenzon:
One GPU, Many Ranks: Enabling Performance and Energy-Efficient In-Transit Visualization via Resource Sharing. 597-606 - Akash Dutta, Ali Jannesari:
HHOTuner: Efficient Performance Tuning with Harris Hawks Optimization. 607-616 - Dewi Yokelson, Stephanie Brink, Jason Burmark, Michael McKinsey, Befikir Bogale, Ian Lumsden, Michela Taufer, Tom Scogland, Olga Pearce:
Cross-Architecture Performance Analysis Using the RAJA Performance Suite. 617-626 - Dominik Schweisgut, Anne Benoit, Yves Robert, Henning Meyerhenke:
Carbon-Aware Workflow Scheduling with Fixed Mapping and Deadline Constraint. 627-637
Quantum Computing
- Ziqing Guo, Jan Balewski, Ziwen Pan:
Q-GEAR: Improving quantum simulation framework. 638-647 - Jiayi Zhong, Yuxin Deng:
Cycle-Aware Parallel Optimization for Mitigating ZZ Crosstalk on Quantum Hardware. 648-657 - Waylon Luo, Jiapeng Zhao, Tong Zhan, Qiang Guan:
Adaptive Job Scheduling in Quantum Clouds Using Reinforcement Learning. 658-667
Software
- Floris-Jan Willemsen, Rob V. van Nieuwpoort, Ben van Werkhoven:
Efficient Construction of Large Search Spaces for Auto-Tuning. 668-677 - Zhiqiang Wang, Wenzhe Zhu, Zaigui Zhang, Chaomei Yan, Fan Guo, Yongkun Li, Yinlong Xu:
Amber: Towards Fast and Space-Efficient Incremental Checkpointing in Large Language Model Training. 678-688 - Hongbin Zhang, Taosheng Wei, Zhenyi Zheng, Jiangsu Du, Zhiguang Chen, Yutong Lu:
TD-Pipe: Temporally-Disaggregated Pipeline Parallelism Architecture for High-Throughput LLM Inference. 689-698 - Wenda Tang, Yiduo Wang, Yanwen Wang, Jie Wu:
Leave No One Behind: Fair and Efficient Tiered Memory Management for Multi-Applications. 699-709 - Tianhao Wu, Da Yan, Qihao Cheng, Lyuheng Yuan, Sheng Di, Jiao Han, Zhongyi Huang, Ji Cheng:
CompreGel: Efficient Distributed Graph Propagation via Error-Bounded Lossy Message Compression. 710-719 - Hanfeng Liu, Xuemei Peng, Zeyi Wen:
Accelerating Multi-Output GBDTs with GPUs. 720-729 - Shihao Zhang, Chi Zhang, Chentao Wu, Jie Li, Minyi Guo, Hui Li, Liqiang Zhang:
Decision Shuffle: Efficient Pre-scheduling System for Push-based Shuffle in DAG Computing Frameworks. 730-740 - Jonathan Lifflander, Nicole Slattengren, Philippe P. Pebay, Pierre L. Pebay, Caleb Schilly, Robert A. Pfeiffer, Joseph D. Kotulski:
Accelerating an Electromagnetic Simulation via Memory-Constrained Task-Based Load Balancing. 741-752 - Keshvi Tuteja, Gregor Olenik, Roman Mishchuk, Yu-Hsiang Tsai, Markus Götz, Achim Streit, Hartwig Anzt, Charlotte Debus:
pyGinkgo: A Sparse Linear Algebra Operator Framework for Python. 753-763 - Narasinga Rao Miniskar, Aaron R. Young, Mohammad Alaul Haque Monil, Kazi Asifuzzaman, Beau Johnston, Keita Teranishi, Jeffrey S. Vetter:
IRIS-MASH: Efficient Multi-device Asynchronous Multi-Stream Heterogeneous Computing. 764-773 - Kuldeep Pal, Aniket P. Garade, Deepika H. V, Haribabu P, S. A. Kumar, S. D. Sudarsan:
Optimizing NumPy with SVE Acceleration on ARM Architectures. 774-783 - Chen-Chun Chen, Jinghan Yao, Hari Subramoni, Dhabaleswar K. Panda:
Design and Optimization of GPU-Aware MPI Allreduce Using Direct Sendrecv Communication. 784-793 - Hongsu Byun, Honghyeon Yoo, Sungyong Park:
Revisiting Multi-threaded Compaction in LSM-trees: Enabling Compaction Pipelining. 794-803 - Ziji Shi, Le Jiang, Ang Wang, Jie Zhang, Chencan Wu, Yong Li, Xiaokui Xiao, Wei Lin, Jialin Li:
TAPAS: Fast and Automatic Derivation of Tensor Parallel Strategies for Large Neural Networks. 804-815
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