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Publication search results
found 1,218 matches
- 2024
- Zafar Ahmad, Reilly Browne, Rezaul Chowdhury, Rathish Das, Yushen Huang, Yimin Zhu:
Fast American Option Pricing using Nonlinear Stencils. PPoPP 2024: 316-332 - Vitaly Aksenov, Nikita Koval, Petr Kuznetsov, Anton Paramonov:
Memory Bounds for Concurrent Bounded Queues. PPoPP 2024: 188-199 - Akshay Bhosale, Rudolf Eigenmann:
Recurrence Analysis for Automatic Parallelization of Subscripted Subscripts. PPoPP 2024: 80-93 - Guy E. Blelloch, Yuanhao Wei:
VERLIB: Concurrent Versioned Pointers. PPoPP 2024: 200-214 - Yuetao Chen, Kun Li, Yuhao Wang, Donglin Bai, Lei Wang, Lingxiao Ma, Liang Yuan, Yunquan Zhang, Ting Cao, Mao Yang:
ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores. PPoPP 2024: 333-347 - Shenggan Cheng, Xuanlei Zhao, Guangyang Lu, Jiarui Fang, Tian Zheng, Ruidong Wu, Xiwen Zhang, Jian Peng, Yang You:
FastFold: Optimizing AlphaFold Training and Inference on GPU Clusters. PPoPP 2024: 417-430 - Ismet Dagli, Mehmet E. Belviranli:
Shared Memory-contention-aware Concurrent DNN Execution for Diversely Heterogeneous System-on-Chips. PPoPP 2024: 243-256 - Xiaojun Dong, Laxman Dhulipala, Yan Gu, Yihan Sun:
Parallel Integer Sort: Theory and Practice. PPoPP 2024: 301-315 - Jiangsu Du, Jinhui Wei, Jiazhi Jiang, Shenggan Cheng, Dan Huang, Zhiguang Chen, Yutong Lu:
Liger: Interleaving Intra- and Inter-Operator Parallelism for Distributed Large Model Inference. PPoPP 2024: 42-54 - Guofeng Feng, Weile Jia, Ninghui Sun, Guangming Tan, Jiajia Li:
POSTER: Optimizing Sparse Tensor Contraction with Revisiting Hash Table Design. PPoPP 2024: 457-459 - Zhichen Feng, Jialin Li, Yaqian Gao, Shaobo Tian, Huang Ye, Jian Zhang:
POSTER: Enabling Extreme-Scale Phase Field Simulation with In-situ Feature Extraction. PPoPP 2024: 448-450 - Xinbiao Gan, Guang Wu, Shenghao Qiu, Feng Xiong, Jiaqi Si, Jianbin Fang, Dezun Dong, Chunye Gong, Tiejun Li, Zheng Wang:
GraphCube: Interconnection Hierarchy-aware Graph Processing. PPoPP 2024: 160-174 - Lukas Gianinazzi, Alexandros Nikolaos Ziogas, Langwen Huang, Piotr Luczynski, Saleh Ashkboosh, Florian Scheidl, Armon Carigiet, Chio Ge, Nabil Abubaker, Maciej Besta, Tal Ben-Nun, Torsten Hoefler:
Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication. PPoPP 2024: 404-416 - Jiaao He, Shengqi Chen, Jidong Zhai:
POSTER: Pattern-Aware Sparse Communication for Scalable Recommendation Model Training. PPoPP 2024: 466-468 - Siyu Hu, Tong Zhao, Qiuchen Sha, Enji Li, Xiangyu Meng, Liping Liu, Lin-Wang Wang, Guangming Tan, Weile Jia:
Training one DeePMD Model in Minutes: a Step towards Online Learning. PPoPP 2024: 257-269 - Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. PPoPP 2024: 454-456 - Kasra Jamshidi, Keval Vora:
OsirisBFT: Say No to Task Replication for Scalable Byzantine Fault Tolerant Analytics. PPoPP 2024: 94-108 - Abhinav Jangda, Mohit Yadav:
Fast Kronecker Matrix-Matrix Multiplication on GPUs. PPoPP 2024: 390-403 - Zhuoran Ji, Zhaorui Zhang, Jiming Xu, Lei Ju:
POSTER: Accelerating High-Precision Integer Multiplication used in Cryptosystems with GPUs. PPoPP 2024: 445-447 - Mohammad Khalaji, Trevor Brown, Khuzaima Daudjee, Vitaly Aksenov:
Practical Hardware Transactional vEB Trees. PPoPP 2024: 215-228 - Daewoo Kim, Trevor Brown, Ajay Singh:
Are Your Epochs Too Epic? Batch Free Can Be Harmful. PPoPP 2024: 30-41 - Shunde Li, Junyu Gu, Jue Wang, Tiechui Yao, Zhiqiang Liang, Yumeng Shi, Shigang Li, Weiting Xi, Shushen Li, Chunbao Zhou, Yangang Wang, Xuebin Chi:
POSTER: ParGNN: Efficient Training for Large-Scale Graph Neural Network on GPU Clusters. PPoPP 2024: 469-471 - Yifei Li, Bole Zhou, Jiejing Zhang, Xuechao Wei, Yinghan Li, Yingda Chen:
POSTER: RadiK: Scalable Radix Top-K Selection on GPUs. PPoPP 2024: 472-474 - Zhiheng Lin, Ke Meng, Chaoyang Shui, Kewei Zhang, Junmin Xiao, Guangming Tan:
Exploiting Fine-Grained Redundancy in Set-Centric Graph Pattern Mining. PPoPP 2024: 175-187 - Quanquan C. Liu, Julian Shun, Igor Zablotchi:
Parallel k-Core Decomposition with Batched Updates and Asynchronous Reads. PPoPP 2024: 286-300 - Xiaoyan Liu, Xuegui Zheng, Hailong Yang, Zhongzhi Luan, Depei Qian:
Tetris: Accelerating Sparse Convolution by Exploiting Memory Reuse on GPU. PPoPP 2024: 229-242 - Lixian Ma, Haoruo Chen, En Shao, Leping Wang, Quan Chen, Guangming Tan:
POSTER: FineCo: Fine-grained Heterogeneous Resource Management for Concurrent DNN Inferences. PPoPP 2024: 451-453 - Magdalen Dobson Manohar, Zheqi Shen, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Harsha Vardhan Simhadri, Yihan Sun:
ParlayANN: Scalable and Deterministic Parallel Graph-Based Approximate Nearest Neighbor Search Algorithms. PPoPP 2024: 270-285 - Hunter McCoy, Prashant Pandey:
Gallatin: A General-Purpose GPU Memory Manager. PPoPP 2024: 364-376 - dePaul Miller, Henry F. Korth, Roberto Palmieri:
POSTER: OCToPus: Semantic-aware Concurrency Control for Blockchain Transactions. PPoPP 2024: 463-465
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