IPDPS

Keyphrases

Publications

2023

Haodi Lu, Haikun Liu, Chencheng Ye, Xiaofei Liao, Fubing Mao, Yu Zhang, Hai Jin
Software-Defined, Fast and Strongly-Consistent Data Replication for RDMA-Based PM Datastores. IPDPS (2023)
Garima Singh, Baidyanath Kundu, Harshitha Menon, Alexander Penev, David J. Lange, Vassil Vassilev
Fast And Automatic Floating Point Error Analysis With CHEF-FP. IPDPS (2023)
Qifan Xu, Yang You
An Efficient 2D Method for Training Super-Large Deep Learning Models. IPDPS (2023)
Zhuo Huang, Hao Fan, Chaoyi Cheng, Song Wu, Hai Jin
Duo: Improving Data Sharing of Stateful Serverless Applications by Efficiently Caching Multi-Read Data. IPDPS (2023)
Sairam Sri Vatsavai, Venkata Sai Praneeth Karempudi, Ishan G. Thakkar, Sayed Ahmad Salehi, Jeffrey Todd Hastings
SCONNA: A Stochastic Computing Based Optical Accelerator for Ultra-Fast, Energy-Efficient Inference of Integer-Quantized CNNs. IPDPS (2023)
Pierre-François Dutot, Yeu-Shin Fu, Nikhil Prasad, Oliver Sinnen
A Guaranteed Approximation Algorithm for Scheduling Fork-Joins with Communication Delay. IPDPS (2023)
Mark de Berg, Leyla Biabani, Morteza Monemizadeh
k-Center Clustering with Outliers in the MPC and Streaming Model. IPDPS (2023)
Bingyi Zhang, Viktor K. Prasanna
Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation. IPDPS (2023)
Junhyeok Jang, Miryeong Kwon, Donghyun Gouk, Hanyeoreum Bae, Myoungsoo Jung
GraphTensor: Comprehensive GNN-Acceleration Framework for Efficient Parallel Processing of Massive Datasets. IPDPS (2023)
William Ladd, Christopher Jensen, Madhurima Vardhan, Jeff Ames, Jeff R. Hammond, Erik W. Draeger, Amanda Randles
Optimizing Cloud Computing Resource Usage for Hemodynamic Simulation. IPDPS (2023)
Laurent Schares, Asser N. Tantawi, Pavlos Maniotis, Ming-Hung Chen, Claudia Misale, Seetharami Seelam, Hao Yu
Chic-sched: a HPC Placement-Group Scheduler on Hierarchical Topologies with Constraints. IPDPS (2023)
Shaomeng Li, Peter Lindstrom, John P. Clyne
Lossy Scientific Data Compression With SPERR. IPDPS (2023)
Ignacio Gavier, Joshua Russell, Devdhar Patel, Edward A. Rietman, Hava T. Siegelmann
Neural Network Compiler for Parallel High-Throughput Simulation of Digital Circuits. IPDPS (2023)
Xujing Li, Min Liu, Sheng Sun, Yuwei Wang, Hui Jiang, Xuefeng Jiang
FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization. IPDPS (2023)
Michael J. Brim, Adam T. Moody, Seung-Hwan Lim, Ross G. Miller, Swen Boehm, Cameron Stanavige, Kathryn M. Mohror, Sarp Oral
UnifyFS: A User-level Shared File System for Unified Access to Distributed Local Storage. IPDPS (2023)
Tsung-Wei Huang
qTask: Task-parallel Quantum Circuit Simulation with Incrementality. IPDPS (2023)
Zheng Zhang, Donglin Yang, Yaqi Xia, Liang Ding, Dacheng Tao, Xiaobo Zhou, Dazhao Cheng
MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism. IPDPS (2023)
Ichitaro Yamazaki, Alexander Heinlein, Sivasankaran Rajamanickam
An Experimental Study of Two-level Schwarz Domain-Decomposition Preconditioners on GPUs. IPDPS (2023)
Guang Fan, Fangyu Zheng, Lipeng Wan, Lili Gao, Yuan Zhao, Jiankuo Dong, Yixuan Song, Yuewu Wang, Jingqiang Lin
Towards Faster Fully Homomorphic Encryption Implementation with Integer and Floating-point Computing Power of GPUs. IPDPS (2023)
Haohao Liao, Mahmoud A. Elmohr, Xuan Dong, Yanjun Qian, Wenzhe Yang, Zhiwei Shang, Yin Tan
TurboHE: Accelerating Fully Homomorphic Encryption Using FPGA Clusters. IPDPS (2023)
Sonia Rani Gupta, Nikela Papadopoulou, Miquel Pericàs
Accelerating CNN inference on long vector architectures via co-design. IPDPS (2023)
Ruibo Fan, Wei Wang, Xiaowen Chu
Fast Sparse GPU Kernels for Accelerated Training of Graph Neural Networks. IPDPS (2023)
Sudipta Saha Shubha, Shohaib Mahmud, Haiying Shen, Geoffrey C. Fox, Madhav V. Marathe
Accurate and Efficient Distributed COVID-19 Spread Prediction based on a Large-Scale Time-Varying People Mobility Graph. IPDPS (2023)
Haiheng He, Dan Chen, Long Zheng, Yu Huang, Haifeng Liu, Chaoqiang Liu, Xiaofei Liao, Hai Jin
GraphMetaP: Efficient MetaPath Generation for Dynamic Heterogeneous Graph Models. IPDPS (2023)
Mohamed W. Hassan, Adel Dabah, Hatem Ltaief, Suhaib A. Fahmy
Signal Detection for Large MIMO Systems Using Sphere Decoding on FPGAs. IPDPS (2023)
Yujia Zhai, Chengquan Jiang, Leyuan Wang, Xiaoying Jia, Shang Zhang, Zizhong Chen, Xin Liu, Yibo Zhu
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs. IPDPS (2023)
Olivia Grimes, Jacob Nelson-Slivon, Ahmed Hassan, Roberto Palmieri
Opportunities and Limitations of Hardware Timestamps in Concurrent Data Structures. IPDPS (2023)
Olivier Beaumont, Jean-Alexandre Collin, Lionel Eyraud-Dubois, Mathieu Vérité
Data Distribution Schemes for Dense Linear Algebra Factorizations on Any Number of Nodes. IPDPS (2023)
Deepal Tennakoon, Yiding Hua, Vincent Gramoli
Smart Redbelly Blockchain: Reducing Congestion for Web3. IPDPS (2023)
John Ravi, Suren Byna, Quincey Koziol, Houjun Tang, Michela Becchi
Evaluating Asynchronous Parallel I/O on HPC Systems. IPDPS (2023)
Yifeng Tang, Cho-Li Wang
SelB-k-NN: A Mini-Batch K-Nearest Neighbors Algorithm on AI Processors. IPDPS (2023)
Anisur Rahaman Molla, Kaushik Mondal, William K. Moses Jr.
Fast Deterministic Gathering with Detection on Arbitrary Graphs: The Power of Many Robots. IPDPS (2023)
Jianjin Liao, Mingzhen Li, Hailong Yang, Qingxiao Sun, Biao Sun, Jiwei Hao, Tianyu Feng, Fengwei Yu, Shengdong Chen, Ye Tao, Zicheng Zhang, Zhongzhi Luan, Depei Qian
Exploiting Input Tensor Dynamics in Activation Checkpointing for Efficient Training on GPU. IPDPS (2023)
Qi Yu, Lin Wang, Yuchong Hu, Yumeng Xu, Dan Feng, Jie Fu, Xia Zhu, Zhen Yao, Wenjia Wei
Boosting Multi-Block Repair in Cloud Storage Systems with Wide-Stripe Erasure Coding. IPDPS (2023)
Yichen Zhang, Shengguo Li, Fan Yuan, Dezun Dong, Xiaojian Yang, Tiejun Li, Zheng Wang
Memory-aware Optimization for Sequences of Sparse Matrix-Vector Multiplications. IPDPS (2023)
Joshua Hoke Davis, Justin Shafner, Daniel Nichols, Nathan Grube, Pino Martin, Abhinav Bhatele
Porting a Computational Fluid Dynamics Code with AMR to Large-scale GPU Platforms. IPDPS (2023)
Lanshun Nie, Yuqi Qiu, Fei Meng, Mo Yu, Jing Li
Generalizable Reinforcement Learning-Based Coarsening Model for Resource Allocation over Large and Diverse Stream Processing Graphs. IPDPS (2023)
Sajal Dash, Mohammad Alaul Haque Monil, Junqi Yin, Ramu Anandakrishnan, Feiyi Wang
Distributing Simplex-Shaped Nested for-Loops to Identify Carcinogenic Gene Combinations. IPDPS (2023)
Wissam M. Sid-Lakhdar, Sébastien Cayrols, Daniel Bielich, Ahmad Abdelfattah, Piotr Luszczek, Mark Gates, Stanimire Tomov, Hans Johansen, David B. Williams-Young, Timothy A. Davis, Jack J. Dongarra, Hartwig Anzt
PAQR: Pivoting Avoiding QR factorization. IPDPS (2023)
Zeyu Luan, Qing Li, Yi Wang, Yong Jiang
H-Cache: Traffic-Aware Hybrid Rule-Caching in Software-Defined Networks. IPDPS (2023)
Yi-Chien Lin, Viktor K. Prasanna
HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous Architecture. IPDPS (2023)
Bing Lu, Yida Li, Junqi Wang, Huizhang Luo, Kenli Li
ZFP-X: Efficient Embedded Coding for Accelerating Lossy Floating Point Compression. IPDPS (2023)
Lu Zhang, Chao Li, Xinkai Wang, Weiqi Feng, Zheng Yu, Quan Chen, Jingwen Leng, Minyi Guo, Pu Yang, Shang Yue
FIRST: Exploiting the Multi-Dimensional Attributes of Functions for Power-Aware Serverless Computing. IPDPS (2023)
Peter Sanders, Tim Niklas Uhl
Engineering a Distributed-Memory Triangle Counting Algorithm. IPDPS (2023)
Nicolau Manubens, Tiago Quintino, Simon D. Smart, Emanuele Danovaro, Adrian Jackson
DAOS as HPC Storage: a View From Numerical Weather Prediction. IPDPS (2023)
Prasun Gera, Hyesoon Kim
Traversing Large Compressed Graphs on GPUs. IPDPS (2023)
Hao Wu, Junxiao Deng, Hao Fan, Shadi Ibrahim, Song Wu, Hai Jin
QoS-Aware and Cost-Efficient Dynamic Resource Allocation for Serverless ML Workflows. IPDPS (2023)
Qinghua Zhou, Quentin Anthony, Lang Xu, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda
Accelerating Distributed Deep Learning Training with Compression Assisted Allgather and Reduce-Scatter Communication. IPDPS (2023)
Christian Hellwig, Fabian Czappa, Martin Michel, Reinhold Bertrand, Felix Wolf
Satellite Collision Detection using Spatial Data Structures. IPDPS (2023)
Milan Shah, Xiaodong Yu, Sheng Di, Danylo Lykov, Yuri Alexeev, Michela Becchi, Franck Cappello
GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations. IPDPS (2023)