PPoPP

Publications

2024

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)
Nir Shavit
Sparsity in Deep Neural Nets (Keynote). PPoPP (2024)
James Psota, Armando Solar-Lezama
Pure: Evolving Message Passing To Better Leverage Shared Memory Within Nodes. PPoPP (2024)
Yi Zong, Xinliang Wang, Haopeng Huang, Chensong Zhang, Xiaowen Xu, Jian Sun, Bowen Yan, Qin Wang, Sicong Li, Zhaohui Ding, Wei Xue
POSTER: StructMG: A Fast and Scalable Structured Multigrid. PPoPP (2024)
Abhinav Jangda, Mohit Yadav
Fast Kronecker Matrix-Matrix Multiplication on GPUs. PPoPP (2024)
Stefan K. Muller
Language-Agnostic Static Deadlock Detection for Futures. PPoPP (2024)
dePaul Miller, Henry F. Korth, Roberto Palmieri
POSTER: OCToPus: Semantic-aware Concurrency Control for Blockchain Transactions. PPoPP (2024)
Meng Pang, Xiang Fei, Peng Qu, Youhui Zhang, Zhaolin Li
A Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs. PPoPP (2024)
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)
Sungwoo Park, Seyeon Oh, Min-Soo Kim
INFINEL: An efficient GPU-based processing method for unpredictable large output graph queries. PPoPP (2024)
Jiaao He, Shengqi Chen, Jidong Zhai
POSTER: Pattern-Aware Sparse Communication for Scalable Recommendation Model Training. PPoPP (2024)
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)
Ismet Dagli, Mehmet E. Belviranli
Shared Memory-contention-aware Concurrent DNN Execution for Diversely Heterogeneous System-on-Chips. PPoPP (2024)
Yifei Li, Bole Zhou, Jiejing Zhang, Xuechao Wei, Yinghan Li, Yingda Chen
POSTER: RadiK: Scalable Radix Top-K Selection on GPUs. PPoPP (2024)
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)
Zafar Ahmad, Reilly Browne, Rezaul Chowdhury, Rathish Das, Yushen Huang, Yimin Zhu
Fast American Option Pricing using Nonlinear Stencils. PPoPP (2024)
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)
Kasra Jamshidi, Keval Vora
OsirisBFT: Say No to Task Replication for Scalable Byzantine Fault Tolerant Analytics. PPoPP (2024)
Vitaly Aksenov, Nikita Koval, Petr Kuznetsov, Anton Paramonov
Memory Bounds for Concurrent Bounded Queues. PPoPP (2024)
Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Liang Deng, Jian Zhang, Qingsong Wang, Yue Ding, Zhe Dai, Yonggang Che, Shizhao Chen, Jie Liu
Towards Scalable Unstructured Mesh Computations on Shared Memory Many-Cores. PPoPP (2024)
Daewoo Kim, Trevor Brown, Ajay Singh
Are Your Epochs Too Epic? Batch Free Can Be Harmful. PPoPP (2024)
Guofeng Feng, Weile Jia, Ninghui Sun, Guangming Tan, Jiajia Li
POSTER: Optimizing Sparse Tensor Contraction with Revisiting Hash Table Design. PPoPP (2024)
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)
Almog Zur, Nachshon Cohen, Michal Friedman, Erez Petrank
POSTER: RELAX: Durable Data Structures with Swift Recovery. PPoPP (2024)
Brian Wheatman, Randal C. Burns, Aydin Buluç, Helen Xu
CPMA: An Efficient Batch-Parallel Compressed Set Without Pointers. PPoPP (2024)
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)
Jinchen Xu, Guanghui Song, Bei Zhou, Fei Li, Jiangwei Hao, Jie Zhao
A Holistic Approach to Automatic Mixed-Precision Code Generation and Tuning for Affine Programs. PPoPP (2024)
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)
Quanquan C. Liu, Julian Shun, Igor Zablotchi
Parallel k-Core Decomposition with Batched Updates and Asynchronous Reads. PPoPP (2024)
Mohammad Khalaji, Trevor Brown, Khuzaima Daudjee, Vitaly Aksenov
Practical Hardware Transactional vEB Trees. PPoPP (2024)
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)
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)
Hunter McCoy, Prashant Pandey
Gallatin: A General-Purpose GPU Memory Manager. PPoPP (2024)
Xiaoyan Liu, Xuegui Zheng, Hailong Yang, Zhongzhi Luan, Depei Qian
Tetris: Accelerating Sparse Convolution by Exploiting Memory Reuse on GPU. PPoPP (2024)
Guy E. Blelloch, Yuanhao Wei
VERLIB: Concurrent Versioned Pointers. PPoPP (2024)
Zhuoran Ji, Zhaorui Zhang, Jiming Xu, Lei Ju
POSTER: Accelerating High-Precision Integer Multiplication used in Cryptosystems with GPUs. PPoPP (2024)
Zhiheng Lin, Ke Meng, Chaoyang Shui, Kewei Zhang, Junmin Xiao, Guangming Tan
Exploiting Fine-Grained Redundancy in Set-Centric Graph Pattern Mining. PPoPP (2024)
Xiaojun Dong, Laxman Dhulipala, Yan Gu, Yihan Sun
Parallel Integer Sort: Theory and Practice. PPoPP (2024)
Jiabin Xie, Guangnan Feng, Han Huang, Junxuan Feng, Zhiguang Chen, Yutong Lu
Extreme-scale Direct Numerical Simulation of Incompressible Turbulence on the Heterogeneous Many-core System. PPoPP (2024)
Seongyeon Park, Junguk Hong, Jaeyong Song, Hajin Kim, Youngsok Kim, Jinho Lee
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping. PPoPP (2024)
Akshay Bhosale, Rudolf Eigenmann
Recurrence Analysis for Automatic Parallelization of Subscripted Subscripts. PPoPP (2024)
Jonggyu Park, Young Ik Eom
Locks as a Resource: Fairly Scheduling Lock Occupation with CFL. PPoPP (2024)
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, PPoPP 2024, Edinburgh, United Kingdom, March 2-6, 2024 PPoPP (2024)
Juntao Zhao, Borui Wan, Chuan Wu, Yanghua Peng, Haibin Lin
POSTER: LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization. PPoPP (2024)
Pedro Ramalhete, Andreia Correia
Scaling Up Transactions with Slower Clocks. PPoPP (2024)
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)

2023