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Xiaoyi Lu

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2020 – today

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2024
[j17]
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Yuke Li, Arjun Kashyap, Yanfei Guo, Xiaoyi Lu:
Compression Analysis for BlueField-2/-3 Data Processing Units: Lossy and Lossless Perspectives. IEEE Micro 44(2): 8-19 (2024)
[j16]
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Liuyao Dai, Hao Qi, Weicong Chen, Xiaoyi Lu:
High-Speed Data Communication With Advanced Networks in Large Language Model Training. IEEE Micro 44(2): 31-40 (2024)
[j15]
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Yujie Hui, Miao Yu, Hao Qi, Yifan Gan, Tianxi Li, Yuke Li, Xueyuan Ren, Sixiang Ma, Xiaoyi Lu, Yang Wang:
On the Feasibility and Benefits of Extensive Evaluation. Proc. ACM Manag. Data 2(4): 201:1-201:24 (2024)
[c126]
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Yu Zhang, Zhenhong Jia, Hui Zhao, Xiaoyi Lu, Fei Shi, Gang Zhou, Jiajia Wang:
Network Traffic Classification Based on Multilevel Spatiotemporal Feature Fusion Enhancement. CAIBDA 2024: 306-311
[c125]
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Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. ICS 2024: 437-448
[c124]
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Yuke Li, Arjun Kashyap, Weicong Chen, Yanfei Guo, Xiaoyi Lu:
Accelerating Lossy and Lossless Compression on Emerging BlueField DPU Architectures. IPDPS 2024: 373-385
[c123]
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Darren Ng, Andrew Lin, Arjun Kashyap, Guanpeng Li, Xiaoyi Lu:
NVMe-oPF: Designing Efficient Priority Schemes for NVMe-over-Fabrics with Multi-Tenancy Support. IPDPS 2024: 519-531
[c122]
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Md Hasanur Rahman, Sheng Di, Shengjian Guo, Xiaoyi Lu, Guanpeng Li, Franck Cappello:
Druto: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications. IPDPS 2024: 582-594
[c121]
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Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Xiaoyi Lu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression. IPDPS 2024: 752-764
2023
[j14]
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Adam Weingram, Yuke Li, Hao Qi, Darren Ng, Liuyao Dai, Xiaoyi Lu:
xCCL: A Survey of Industry-Led Collective Communication Libraries for Deep Learning. J. Comput. Sci. Technol. 38(1): 166-195 (2023)
[c120]
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Yuke Li, Arjun Kashyap, Yanfei Guo, Xiaoyi Lu:
Characterizing Lossy and Lossless Compression on Emerging BlueField DPU Architectures. HOTI 2023: 33-40
[c119]
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Hao Qi, Liuyao Dai, Weicong Chen, Zhen Jia, Xiaoyi Lu:
Performance Characterization of Large Language Models on High-Speed Interconnects. HOTI 2023: 53-60
[c118]
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Weicong Chen, Hao Qi, Xiaoyi Lu, Curtis Tatsuoka:
SBGT: Scaling Bayesian-based Group Testing for Disease Surveillance. IPDPS 2023: 951-962
2022
[j13]
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Yang Wang, Miao Yu, Yujie Hui, Fang Zhou, Yuyang Huang, Rui Zhu, Xueyuan Ren, Tianxi Li, Xiaoyi Lu:
A Study of Database Performance Sensitivity to Experiment Settings. Proc. VLDB Endow. 15(7): 1439-1452 (2022)
[c117]
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  - conf/bench/NgSLLYNEL22
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Darren Ng, Colin Schmierer, Andrew Lin, Zeyu Liu, Falin Yu, Shawn D. Newsam, Reza Ehsani, Xiaoyi Lu:
Benchmarking Object Detection Models with Mummy Nuts Datasets. Bench 2022: 102-119
[c116]
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Weicong Chen, Curtis Tatsuoka, Xiaoyi Lu:
HiBGT: High-Performance Bayesian Group Testing for COVID-19. HIPC 2022: 176-185
[c115]
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Arjun Kashyap, Xiaoyi Lu:
NVMe-oAF: Towards Adaptive NVMe-oF for IO-Intensive Workloads on HPC Cloud. HPDC 2022: 56-70
[i5]
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  - journals/corr/abs-2206-12495
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Shashank Gugnani, Scott Guthridge, Frank Schmuck, Owen Anderson, Deepavali Bhagwat, Xiaoyi Lu:
Arcadia: A Fast and Reliable Persistent Memory Replicated Log. CoRR abs/2206.12495 (2022)
2021
[c114]
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Yang Wang, Xiaoyi Lu, Wenjun Zhou:
Global Adaptive Optimization Parameters For Robust Pupil Location. CIS 2021: 285-289
[c113]
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Shashank Gugnani, Xiaoyi Lu:
DStore: A Fast, Tailless, and Quiescent-Free Object Store for PMEM. HPDC 2021: 31-43
[c112]
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Yujie Hui, Jeffrey Lien, Xiaoyi Lu:
Characterizing and Accelerating End-to-End EdgeAI Inference Systems for Object Detection Applications. SEC 2021: 1-12
[c111]
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Shashank Gugnani, Tianxi Li, Xiaoyi Lu:
NVMe-CR: A Scalable Ephemeral Storage Runtime for Checkpoint/Restart with NVMe-over-Fabrics. IPDPS 2021: 172-181
[c110]
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Tianxi Li, Haiyang Shi, Xiaoyi Lu:
HatRPC: hint-accelerated thrift RPC over RDMA. SC 2021: 36
[i4]
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  - journals/corr/abs-2104-11272
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Xiaoyi Lu, Arjun Kashyap:
Towards Offloadable and Migratable Microservices on Disaggregated Architectures: Vision, Challenges, and Research Roadmap. CoRR abs/2104.11272 (2021)
2020
[j12]
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Xiaoyi Lu, Carlos Pantano:
On mass conservation and solvability of the discretized variable-density zero-Mach Navier-Stokes equations. J. Comput. Phys. 404 (2020)
[j11]
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Zheng-Hao Jin, Haiyang Shi, Ying-Xin Hu, Li Zha, Xiaoyi Lu:
CirroData: Yet Another SQL-on-Hadoop Data Analytics Engine with High Performance. J. Comput. Sci. Technol. 35(1): 194-208 (2020)
[j10]
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Shashank Gugnani, Arjun Kashyap, Xiaoyi Lu:
Understanding the Idiosyncrasies of Real Persistent Memory. Proc. VLDB Endow. 14(4): 626-639 (2020)
[c109]
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  - conf/bench/KashyapGL20
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Arjun Kashyap, Shashank Gugnani, Xiaoyi Lu:
Impact of Commodity Networks on Storage Disaggregation with NVMe-oF. Bench 2020: 41-56
[c108]
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Xiaoyi Lu, Jianfeng Zhan:
Workshop 7: HPBDC High-Performance Big Data and Cloud Computing. IPDPS Workshops 2020: 385
[c107]
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Tianxi Li, Dipti Shankar, Shashank Gugnani, Xiaoyi Lu:
RDMP-KV: designing remote direct memory persistence based key-value stores with PMEM. SC 2020: 52
[c106]
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  - conf/sc/ShiL20
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Haiyang Shi, Xiaoyi Lu:
INEC: fast and coherent in-network erasure coding. SC 2020: 66
[e1]
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  - conf/bench/2019
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Wanling Gao, Jianfeng Zhan, Geoffrey C. Fox, Xiaoyi Lu, Dan Stanzione:
Benchmarking, Measuring, and Optimizing - Second BenchCouncil International Symposium, Bench 2019, Denver, CO, USA, November 14-16, 2019, Revised Selected Papers. Lecture Notes in Computer Science 12093, Springer 2020, ISBN 978-3-030-49555-8 [contents]

2010 – 2019

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2019
[j9]
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M. Haseeb Javed, Khaled Z. Ibrahim, Xiaoyi Lu:
Performance analysis of deep learning workloads using roofline trajectories. CCF Trans. High Perform. Comput. 1(3-4): 224-239 (2019)
[j8]
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Ching-Hsiang Chu, Xiaoyi Lu, Ammar Ahmad Awan, Hari Subramoni, Bracy Elton, Dhabaleswar K. Panda:
Exploiting Hardware Multicast and GPUDirect RDMA for Efficient Broadcast. IEEE Trans. Parallel Distributed Syst. 30(3): 575-588 (2019)
[c105]
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Yujie Hui, Jeffrey Lien, Xiaoyi Lu:
Early Experience in Benchmarking Edge AI Processors with Object Detection Workloads. Bench 2019: 32-48
[c104]
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  - conf/hipc/ShankarLP19
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Dipti Shankar, Xiaoyi Lu, Dhabaleswar K. Panda:
SCOR-KV: SIMD-Aware Client-Centric and Optimistic RDMA-Based Key-Value Store for Emerging CPU Architectures. HiPC 2019: 257-266
[c103]
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Haiyang Shi, Xiaoyi Lu, Dipti Shankar, Dhabaleswar K. Panda:
UMR-EC: A Unified and Multi-Rail Erasure Coding Library for High-Performance Distributed Storage Systems. HPDC 2019: 219-230
[c102]
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Dipti Shankar, Xiaoyi Lu, Dhabaleswar K. D. K. Panda:
SimdHT-Bench: Characterizing SIMD-Aware Hash Table Designs on Emerging CPU Architectures. IISWC 2019: 178-188
[c101]
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Jie Zhang, Xiaoyi Lu, Ching-Hsiang Chu, Dhabaleswar K. Panda:
C-GDR: High-Performance Container-Aware GPUDirect MPI Communication Schemes on RDMA Networks. IPDPS 2019: 242-251
[c100]
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Xiaoyi Lu, Jianfeng Zhan, Dhabaleswar K. Panda:
Introduction to HPBDC 2019. IPDPS Workshops 2019: 394
[c99]
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Haiyang Shi, Xiaoyi Lu:
TriEC: tripartite graph based erasure coding NIC offload. SC 2019: 44:1-44:34
2018
[j7]
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Md. Wasi-ur-Rahman, Nusrat Sharmin Islam, Xiaoyi Lu, Dipti Shankar, Dhabaleswar K. Panda:
MR-Advisor: A comprehensive tuning, profiling, and prediction tool for MapReduce execution frameworks on HPC clusters. J. Parallel Distributed Comput. 120: 237-250 (2018)
[j6]
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Dhabaleswar K. Panda, Xiaoyi Lu, Hari Subramoni:
Networking and communication challenges for post-exascale systems. Frontiers Inf. Technol. Electron. Eng. 19(10): 1230-1235 (2018)
[j5]
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Xiaoyi Lu, Haiyang Shi, Rajarshi Biswas, M. Haseeb Javed, Dhabaleswar K. Panda:
DLoBD: A Comprehensive Study of Deep Learning over Big Data Stacks on HPC Clusters. IEEE Trans. Multi Scale Comput. Syst. 4(4): 635-648 (2018)
[c98]
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Zihan Jiang, Wanling Gao, Lei Wang, Xingwang Xiong, Yuchen Zhang, Xu Wen, Chunjie Luo, Hainan Ye, Xiaoyi Lu, Yunquan Zhang, Shengzhong Feng, Kenli Li, Weijia Xu, Jianfeng Zhan:
HPC AI500: A Benchmark Suite for HPC AI Systems. Bench 2018: 10-22
[c97]
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Qin Zhang, Li Zha, Jian Lin, Dandan Tu, Mingzhe Li, Fan Liang, Ren Wu, Xiaoyi Lu:
A Survey on Deep Learning Benchmarks: Do We Still Need New Ones? Bench 2018: 36-49
[c96]
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Haiyang Shi, Xiaoyi Lu, Dhabaleswar K. Panda:
EC-Bench: Benchmarking Onload and Offload Erasure Coders on Modern Hardware Architectures. Bench 2018: 215-230
[c95]
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Xiaoyi Lu, Dipti Shankar, Haiyang Shi, Dhabaleswar K. Panda:
Spark-uDAPL: Cost-Saving Big Data Analytics on Microsoft Azure Cloud with RDMA Networks^*. IEEE BigData 2018: 321-326
[c94]
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Haiyang Shi, Xiaoyi Lu, Dipti Shankar, Dhabaleswar K. Panda:
High-Performance Multi-Rail Erasure Coding Library over Modern Data Center Architectures: Early Experiences. SoCC 2018: 530-531
[c93]
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M. Haseeb Javed, Xiaoyi Lu, Dhabaleswar K. Panda:
Cutting the Tail: Designing High Performance Message Brokers to Reduce Tail Latencies in Stream Processing. CLUSTER 2018: 223-233
[c92]
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Rajarshi Biswas, Xiaoyi Lu, Dhabaleswar K. Panda:
Accelerating TensorFlow with Adaptive RDMA-Based gRPC. HiPC 2018: 2-11
[c91]
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Ammar Ahmad Awan, Ching-Hsiang Chu, Hari Subramoni, Xiaoyi Lu, Dhabaleswar K. Panda:
OC-DNN: Exploiting Advanced Unified Memory Capabilities in CUDA 9 and Volta GPUs for Out-of-Core DNN Training. HiPC 2018: 143-152
[c90]
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Xiaoyi Lu, Jianfeng Zhan, Dhabaleswar K. Panda:
Introduction to HPBDC 2018. IPDPS Workshops 2018: 446
[c89]
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Mingzhe Li, Xiaoyi Lu, Hari Subramoni, Dhabaleswar K. Panda:
Multi-Threading and Lock-Free MPI RMA Based Graph Processing on KNL and POWER Architectures. EuroMPI 2018: 4:1-4:10
[c88]
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Shashank Gugnani, Xiaoyi Lu, Dhabaleswar K. Panda:
Analyzing, Modeling, and Provisioning QoS for NVMe SSDs. UCC 2018: 247-256
[i3]
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Rajarshi Biswas, Xiaoyi Lu, Dhabaleswar K. Panda:
Designing a Micro-Benchmark Suite to Evaluate gRPC for TensorFlow: Early Experiences. CoRR abs/1804.01138 (2018)
2017
[j4]
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Xiaoyi Lu, Dipti Shankar, Dhabaleswar K. Panda:
Scalable and Distributed Key-Value Store-based Data Management Using RDMA-Memcached. IEEE Data Eng. Bull. 40(1): 50-61 (2017)
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Md. Wasi-ur-Rahman, Nusrat Sharmin Islam, Xiaoyi Lu, Dhabaleswar K. Panda:
A Comprehensive Study of MapReduce Over Lustre for Intermediate Data Placement and Shuffle Strategies on HPC Clusters. IEEE Trans. Parallel Distributed Syst. 28(3): 633-646 (2017)
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M. Haseeb Javed, Xiaoyi Lu, Dhabaleswar K. Panda:
Characterization of Big Data Stream Processing Pipeline: A Case Study using Flink and Kafka. BDCAT 2017: 1-10
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Shashank Gugnani, Xiaoyi Lu, Houliang Qi, Li Zha, Dhabaleswar K. Panda:
Characterizing and accelerating indexing techniques on distributed ordered tables. IEEE BigData 2017: 173-182
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Xiaoyi Lu, Haiyang Shi, Dipti Shankar, Dhabaleswar K. Panda:
Performance characterization and acceleration of big data workloads on OpenPOWER system. IEEE BigData 2017: 213-222
[c84]
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Md. Wasi-ur-Rahman, Nusrat Sharmin Islam, Xiaoyi Lu, Dhabaleswar K. Panda:
NVMD: Non-volatile memory assisted design for accelerating MapReduce and DAG execution frameworks on HPC systems. IEEE BigData 2017: 369-374
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Shashank Gugnani, Xiaoyi Lu, Dhabaleswar K. Panda:
Swift-X: Accelerating OpenStack Swift with RDMA for Building an Efficient HPC Cloud. CCGrid 2017: 238-247
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Hari Subramoni, Xiaoyi Lu, Dhabaleswar K. Panda:
A Scalable Network-Based Performance Analysis Tool for MPI on Large-Scale HPC Systems. CLUSTER 2017: 354-358
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Mingzhe Li, Xiaoyi Lu, Hari Subramoni, Dhabaleswar K. Panda:
Designing Registration Caching Free High-Performance MPI Library with Implicit On-Demand Paging (ODP) of InfiniBand. HiPC 2017: 62-71
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Shashank Gugnani, Xiaoyi Lu, Franco Pestilli, Cesar F. Caiafa, Dhabaleswar K. Panda:
MPI-LiFE: Designing High-Performance Linear Fascicle Evaluation of Brain Connectome with MPI. HiPC 2017: 213-222
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Xiaoyi Lu, Haiyang Shi, M. Haseeb Javed, Rajarshi Biswas, Dhabaleswar K. Panda:
Characterizing Deep Learning over Big Data (DLoBD) Stacks on RDMA-Capable Networks. Hot Interconnects 2017: 87-94
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Dipti Shankar, Xiaoyi Lu, Dhabaleswar K. Panda:
High-Performance and Resilient Key-Value Store with Online Erasure Coding for Big Data Workloads. ICDCS 2017: 527-537
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Ching-Hsiang Chu, Xiaoyi Lu, Ammar Ahmad Awan, Hari Subramoni, Jahanzeb Maqbool Hashmi, Bracy Elton, Dhabaleswar K. Panda:
Efficient and Scalable Multi-Source Streaming Broadcast on GPU Clusters for Deep Learning. ICPP 2017: 161-170
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Jie Zhang, Xiaoyi Lu, Dhabaleswar K. Panda:
High-Performance Virtual Machine Migration Framework for MPI Applications on SR-IOV Enabled InfiniBand Clusters. IPDPS 2017: 143-152
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Xiaoyi Lu, Jianfeng Zhan, Dhabaleswar K. Panda:
Introduction to HPBDC Workshop. IPDPS Workshops 2017: 1020
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Weizhi Zhong, Lei Xu, Xiaoyi Lu, Lei Wang:
Research on Millimeter Wave Communication Interference Suppression of UAV Based on Beam Optimization. MLICOM (2) 2017: 472-481
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Mohammadreza Bayatpour, Sourav Chakraborty, Hari Subramoni, Xiaoyi Lu, Dhabaleswar K. Panda:
Scalable reduction collectives with data partitioning-based multi-leader design. SC 2017: 64
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Jie Zhang, Xiaoyi Lu, Dhabaleswar K. Panda:
Is Singularity-based Container Technology Ready for Running MPI Applications on HPC Clouds? UCC 2017: 151-160
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Dhabaleswar K. Panda, Xiaoyi Lu:
HPC Meets Cloud: Building Efficient Clouds for HPC, Big Data, and Deep Learning Middleware and Applications. UCC 2017: 189-190
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Jie Zhang, Xiaoyi Lu, Dhabaleswar K. Panda:
Designing Locality and NUMA Aware MPI Runtime for Nested Virtualization based HPC Cloud with SR-IOV Enabled InfiniBand. VEE 2017: 187-200
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Xiaoyi Lu, Jie Zhang, Dhabaleswar K. Panda:
Building Efficient HPC Cloud with SR-IOV-Enabled InfiniBand: The MVAPICH2 Approach. Research Advances in Cloud Computing 2017: 115-140
2016
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Dipti Shankar, Xiaoyi Lu, Md. Wasi-ur-Rahman, Nusrat S. Islam, Dhabaleswar K. Panda:
Characterizing and benchmarking stand-alone Hadoop MapReduce on modern HPC clusters. J. Supercomput. 72(12): 4573-4600 (2016)
[c69]
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Shashank Gugnani, Xiaoyi Lu, Dhabaleswar K. Panda:
Performance characterization of hadoop workloads on SR-IOV-enabled virtualized InfiniBand clusters. BDCAT 2016: 36-45
[c68]
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Nusrat Sharmin Islam, Md. Wasi-ur-Rahman, Xiaoyi Lu, Dhabaleswar K. Panda:
Efficient data access strategies for Hadoop and Spark on HPC cluster with heterogeneous storage. IEEE BigData 2016: 223-232
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Xiaoyi Lu, Dipti Shankar, Shashank Gugnani, Dhabaleswar K. Panda:
High-performance design of apache spark with RDMA and its benefits on various workloads. IEEE BigData 2016: 253-262
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Dipti Shankar, Xiaoyi Lu, Dhabaleswar K. Panda:
Boldio: A hybrid and resilient burst-buffer over lustre for accelerating big data I/O. IEEE BigData 2016: 404-409
[c65]
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Shashank Gugnani, Xiaoyi Lu, Dhabaleswar K. Panda:
Designing Virtualization-Aware and Automatic Topology Detection Schemes for Accelerating Hadoop on SR-IOV-Enabled Clouds. CloudCom 2016: 152-159
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Xiaoyi Lu, Dipti Shankar, Shashank Gugnani, Hari Subramoni, Dhabaleswar K. Panda:
Impact of HPC Cloud Networking Technologies on Accelerating Hadoop RPC and HBase. CloudCom 2016: 310-317
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Jie Zhang, Xiaoyi Lu, Sourav Chakraborty, Dhabaleswar K. Panda:
Slurm-V: Extending Slurm for Building Efficient HPC Cloud with SR-IOV and IVShmem. Euro-Par 2016: 349-362
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Mingzhe Li, Xiaoyi Lu, Khaled Hamidouche, Jie Zhang, Dhabaleswar K. Panda:
Mizan-RMA: Accelerating Mizan Graph Processing Framework with MPI RMA. HiPC 2016: 42-51
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Jie Zhang, Xiaoyi Lu, Dhabaleswar K. Panda:
High Performance MPI Library for Container-Based HPC Cloud on InfiniBand Clusters. ICPP 2016: 268-277
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Nusrat Sharmin Islam, Md. Wasi-ur-Rahman, Xiaoyi Lu, Dhabaleswar K. Panda:
High Performance Design for HDFS with Byte-Addressability of NVM and RDMA. ICS 2016: 8:1-8:14
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Dipti Shankar, Xiaoyi Lu, Nusrat S. Islam, Md. Wasi-ur-Rahman, Dhabaleswar K. Panda:
High-Performance Hybrid Key-Value Store on Modern Clusters with RDMA Interconnects and SSDs: Non-blocking Extensions, Designs, and Benefits. IPDPS 2016: 393-402
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Dhabaleswar K. Panda, Jianfeng Zhan, Xiaoyi Lu:
HPBDC Introduction and Committees. IPDPS Workshops 2016: 1596
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Jie Zhang, Xiaoyi Lu, Dhabaleswar K. Panda:
Performance Characterization of Hypervisor-and Container-Based Virtualization for HPC on SR-IOV Enabled InfiniBand Clusters. IPDPS Workshops 2016: 1777-1784
[c56]
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Md. Wasi-ur-Rahman, Nusrat Sharmin Islam, Xiaoyi Lu, Dipti Shankar, Dhabaleswar K. Panda:
MR-Advisor: A Comprehensive Tuning Tool for Advising HPC Users to Accelerate MapReduce Applications on Supercomputers. SBAC-PAD 2016: 198-205
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Md. Wasi-ur-Rahman, Nusrat Sharmin Islam, Xiaoyi Lu, Dhabaleswar K. Panda:
Can Non-volatile Memory Benefit MapReduce Applications on HPC Clusters? PDSW-DISCS@SC 2016: 19-24
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Mingzhe Li, Khaled Hamidouche, Xiaoyi Lu, Hari Subramoni, Jie Zhang, Dhabaleswar K. Panda:
Designing MPI library with on-demand paging (ODP) of infiniband: challenges and benefits. SC 2016: 433-443
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Hari Subramoni, Albert Mathews Augustine, Mark Daniel Arnold, Jonathan L. Perkins, Xiaoyi Lu, Khaled Hamidouche, Dhabaleswar K. Panda:
INAM2: InfiniBand Network Analysis and Monitoring with MPI. ISC 2016: 300-320
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Mahidhar Tatineni, Xiaoyi Lu, Dong Ju Choi, Amitava Majumdar, Dhabaleswar K. Panda:
Experiences and Benefits of Running RDMA Hadoop and Spark on SDSC Comet. XSEDE 2016: 23:1-23:5
2015
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Fan Liang, Xiaoyi Lu:
Accelerating Iterative Big Data Computing Through MPI. J. Comput. Sci. Technol. 30(2): 283-294 (2015)
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Nusrat Sharmin Islam, Md. Wasi-ur-Rahman, Xiaoyi Lu, Dipti Shankar, Dhabaleswar K. Panda:
Performance characterization and acceleration of in-memory file systems for Hadoop and Spark applications on HPC clusters. IEEE BigData 2015: 243-252
[c50]
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Dipti Shankar, Xiaoyi Lu, Md. Wasi-ur-Rahman, Nusrat S. Islam, Dhabaleswar K. Panda:
Benchmarking key-value stores on high-performance storage and interconnects for web-scale workloads. IEEE BigData 2015: 539-544
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Jian Lin, Fan Liang, Xiaoyi Lu, Li Zha, Zhiwei Xu:
Modeling and Designing Fault-Tolerance Mechanisms for MPI-Based MapReduce Data Computing Framework. BigDataService 2015: 176-183
[c48]
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Adithya Bhat, Nusrat Sharmin Islam, Xiaoyi Lu, Md. Wasi-ur-Rahman, Dipti Shankar, Dhabaleswar K. Panda:
A Plugin-Based Approach to Exploit RDMA Benefits for Apache and Enterprise HDFS. BPOE 2015: 119-132
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Jie Zhang, Xiaoyi Lu, Mark Daniel Arnold, Dhabaleswar K. Panda:
MVAPICH2 over OpenStack with SR-IOV: An Efficient Approach to Build HPC Clouds. CCGRID 2015: 71-80
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Nusrat Sharmin Islam, Xiaoyi Lu, Md. Wasi-ur-Rahman, Dipti Shankar, Dhabaleswar K. Panda:
Triple-H: A Hybrid Approach to Accelerate HDFS on HPC Clusters with Heterogeneous Storage Architecture. CCGRID 2015: 101-110
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Mingzhe Li, Hari Subramoni, Khaled Hamidouche, Xiaoyi Lu, Dhabaleswar K. Panda:
High Performance MPI Datatype Support with User-Mode Memory Registration: Challenges, Designs, and Benefits. CLUSTER 2015: 226-235
[c44]
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Mingzhe Li, Khaled Hamidouche, Xiaoyi Lu, Jian Lin, Dhabaleswar K. Panda:
High-Performance and Scalable Design of MPI-3 RMA on Xeon Phi Clusters. Euro-Par 2015: 625-637
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Mingzhe Li, Khaled Hamidouche, Xiaoyi Lu, Jie Zhang, Jian Lin, Dhabaleswar K. Panda:
High Performance OpenSHMEM Strided Communication Support with InfiniBand UMR. HiPC 2015: 244-253
[c42]
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Lu Chao, Chundian Li, Fan Liang, Xiaoyi Lu, Zhiwei Xu:
Accelerating Apache Hive with MPI for Data Warehouse Systems. ICDCS 2015: 664-673
[c41]
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Nusrat Sharmin Islam, Dipti Shankar, Xiaoyi Lu, Md. Wasi-ur-Rahman, Dhabaleswar K. Panda:
Accelerating I/O Performance of Big Data Analytics on HPC Clusters through RDMA-Based Key-Value Store. ICPP 2015: 280-289
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Jian Lin, Khaled Hamidouche, Xiaoyi Lu, Mingzhe Li, Dhabaleswar K. Panda:
High-Performance Coarray Fortran Support with MVAPICH2-X: Initial Experience and Evaluation. IPDPS Workshops 2015: 225-234
[c39]
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Md. Wasi-ur-Rahman, Xiaoyi Lu, Nusrat Sharmin Islam, Raghunath Rajachandrasekar, Dhabaleswar K. Panda:
High-Performance Design of YARN MapReduce on Modern HPC Clusters with Lustre and RDMA. IPDPS 2015: 291-300
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Dipti Shankar, Xiaoyi Lu, Jithin Jose, Md. Wasi-ur-Rahman, Nusrat S. Islam, Dhabaleswar K. Panda:
Can RDMA benefit online data processing workloads on memcached and MySQL? ISPASS 2015: 159-160
[c37]
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Jian Lin, Khaled Hamidouche, Jie Zhang, Xiaoyi Lu, Abhinav Vishnu, Dhabaleswar K. Panda:
Accelerating k-NN Algorithm with Hybrid MPI and OpenSHMEM. OpenSHMEM 2015: 164-177
2014
[c36]
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Nusrat Sharmin Islam, Xiaoyi Lu, Md. Wasi-ur-Rahman, Raghunath Rajachandrasekar, Dhabaleswar K. Panda:
In-memory I/O and replication for HDFS with Memcached: Early experiences. IEEE BigData 2014: 213-218
[c35]
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Jithin Jose, Khaled Hamidouche, Xiaoyi Lu, Sreeram Potluri, Jie Zhang, Karen Tomko, Dhabaleswar K. Panda:
High performance OpenSHMEM for Xeon Phi clusters: Extensions, runtime designs and application co-design. CLUSTER 2014: 10-18
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Mingzhe Li, Xiaoyi Lu, Sreeram Potluri, Khaled Hamidouche, Jithin Jose, Karen Tomko, Dhabaleswar K. Panda:
Scalable Graph500 design with MPI-3 RMA. CLUSTER 2014: 230-238
[c33]
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Jie Zhang, Xiaoyi Lu, Jithin Jose, Rong Shi, Dhabaleswar K. Panda:
Can Inter-VM Shmem Benefit MPI Applications on SR-IOV Based Virtualized Infiniband Clusters? Euro-Par 2014: 342-353
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Md. Wasi-ur-Rahman, Xiaoyi Lu, Nusrat Sharmin Islam, Raghunath Rajachandrasekar, Dhabaleswar K. Panda:
MapReduce over Lustre: Can RDMA-Based Approach Benefit? Euro-Par 2014: 644-655
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Jie Zhang, Xiaoyi Lu, Jithin Jose, Mingzhe Li, Rong Shi, Dhabaleswar K. Panda:
High performance MPI library over SR-IOV enabled infiniband clusters. HiPC 2014: 1-10
[c30]
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Xiaoyi Lu, Md. Wasi-ur-Rahman, Nusrat S. Islam, Dipti Shankar, Dhabaleswar K. Panda:
Accelerating Spark with RDMA for Big Data Processing: Early Experiences. Hot Interconnects 2014: 9-16
[c29]
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Nusrat S. Islam, Xiaoyi Lu, Md. Wasi-ur-Rahman, Dhabaleswar K. Panda:
SOR-HDFS: a SEDA-based approach to maximize overlapping in RDMA-enhanced HDFS. HPDC 2014: 261-264
[c28]
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Md. Wasi-ur-Rahman, Xiaoyi Lu, Nusrat Sharmin Islam, Dhabaleswar K. Panda:
Performance Modeling for RDMA-Enhanced Hadoop MapReduce. ICPP 2014: 50-59
[c27]
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Rong Shi, Xiaoyi Lu, Sreeram Potluri, Khaled Hamidouche, Jie Zhang, Dhabaleswar K. Panda:
HAND: A Hybrid Approach to Accelerate Non-contiguous Data Movement Using MPI Datatypes on GPU Clusters. ICPP 2014: 221-230
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Md. Wasi-ur-Rahman, Xiaoyi Lu, Nusrat Sharmin Islam, Dhabaleswar K. Panda:
HOMR: a hybrid approach to exploit maximum overlapping in MapReduce over high performance interconnects. ICS 2014: 33-42
[c25]
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Xiaoyi Lu, Fan Liang, Bing Wang, Li Zha, Zhiwei Xu:
DataMPI: Extending MPI to Hadoop-Like Big Data Computing. IPDPS 2014: 829-838
[c24]
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Fan Liang, Chen Feng, Xiaoyi Lu, Zhiwei Xu:
Performance Characterization of Hadoop and Data MPI Based on Amdahl's Second Law. NAS 2014: 207-215
[c23]
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  - conf/pgas/JosePSLHSSP14
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Jithin Jose, Sreeram Potluri, Hari Subramoni, Xiaoyi Lu, Khaled Hamidouche, Karl W. Schulz, Hari Sundar, Dhabaleswar K. Panda:
Designing Scalable Out-of-core Sorting with Hybrid MPI+PGAS Programming Models. PGAS 2014: 7:1-7:9
[c22]
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Mingzhe Li, Jian Lin, Xiaoyi Lu, Khaled Hamidouche, Karen Tomko, Dhabaleswar K. Panda:
Scalable MiniMD Design with Hybrid MPI and OpenSHMEM. PGAS 2014: 24:1-24:4
[c21]
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Miao Luo, Xiaoyi Lu, Khaled Hamidouche, Krishna Chaitanya Kandalla, Dhabaleswar K. Panda:
Initial study of multi-endpoint runtime for MPI+OpenMP hybrid programming model on multi-core systems. PPoPP 2014: 395-396
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Rui Han, Xiaoyi Lu, Jiangtao Xu:
On Big Data Benchmarking. BPOE@ASPLOS/VLDB 2014: 3-18
[c19]
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Dipti Shankar, Xiaoyi Lu, Md. Wasi-ur-Rahman, Nusrat S. Islam, Dhabaleswar K. Panda:
A Micro-benchmark Suite for Evaluating Hadoop MapReduce on High-Performance Networks. BPOE@ASPLOS/VLDB 2014: 19-33
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Fan Liang, Chen Feng, Xiaoyi Lu, Zhiwei Xu:
Performance Benefits of DataMPI: A Case Study with BigDataBench. BPOE@ASPLOS/VLDB 2014: 111-123
[i2]
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Rui Han, Xiaoyi Lu:
On Big Data Benchmarking. CoRR abs/1402.5194 (2014)
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Fan Liang, Chen Feng, Xiaoyi Lu, Zhiwei Xu:
Performance Benefits of DataMPI: A Case Study with BigDataBench. CoRR abs/1403.3480 (2014)
2013
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Jithin Jose, Mingzhe Li, Xiaoyi Lu, Krishna Chaitanya Kandalla, Mark Daniel Arnold, Dhabaleswar K. Panda:
SR-IOV Support for Virtualization on InfiniBand Clusters: Early Experience. CCGRID 2013: 385-392
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Md. Wasi-ur-Rahman, Xiaoyi Lu, Nusrat S. Islam, Dhabaleswar K. Panda:
Does RDMA-based enhanced Hadoop MapReduce need a new performance model? SoCC 2013: 45:1-45:2
[c15]
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Rong Shi, Sreeram Potluri, Khaled Hamidouche, Xiaoyi Lu, Karen Tomko, Dhabaleswar K. Panda:
A scalable and portable approach to accelerate hybrid HPL on heterogeneous CPU-GPU clusters. CLUSTER 2013: 1-8
[c14]
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Dhabaleswar K. Panda, Xiaoyi Lu:
Tutorials. Hot Interconnects 2013
[c13]
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Nusrat S. Islam, Xiaoyi Lu, Md. Wasi-ur-Rahman, Dhabaleswar K. Panda:
Can Parallel Replication Benefit Hadoop Distributed File System for High Performance Interconnects? Hot Interconnects 2013: 75-78
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Xiaoyi Lu, Nusrat S. Islam, Md. Wasi-ur-Rahman, Jithin Jose, Hari Subramoni, Hao Wang, Dhabaleswar K. Panda:
High-Performance Design of Hadoop RPC with RDMA over InfiniBand. ICPP 2013: 641-650
[c11]
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Md. Wasi-ur-Rahman, Nusrat Sharmin Islam, Xiaoyi Lu, Jithin Jose, Hari Subramoni, Hao Wang, Dhabaleswar K. Panda:
High-Performance RDMA-based Design of Hadoop MapReduce over InfiniBand. IPDPS Workshops 2013: 1908-1917
[c10]
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Xiaoyi Lu, Md. Wasi-ur-Rahman, Nusrat Sharmin Islam, Dhabaleswar K. Panda:
A Micro-benchmark Suite for Evaluating Hadoop RPC on High-Performance Networks. WBDB 2013: 32-42
2012
[c9]
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Nusrat Sharmin Islam, Xiaoyi Lu, Md. Wasi-ur-Rahman, Jithin Jose, Dhabaleswar K. Panda:
A Micro-benchmark Suite for Evaluating HDFS Operations on Modern Clusters. WBDB 2012: 129-147
2011
[c8]
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Xiaoyi Lu, Bing Wang, Li Zha, Zhiwei Xu:
Can MPI Benefit Hadoop and MapReduce Applications? ICPP Workshops 2011: 371-379
[c7]
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Xiaoyi Lu, Jian Lin, Li Zha, Zhiwei Xu:
Vega LingCloud: A Resource Single Leasing Point System to Support Heterogeneous Application Modes on Shared Infrastructure. ISPA 2011: 99-106
2010
[c6]
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Jian Lin, Xiaoyi Lu, Lin Yu, Yongqiang Zou, Li Zha:
VegaWarden: A Uniform User Management System for Cloud Applications. NAS 2010: 457-464
[c5]
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Juan Peng, Xiaoyi Lu, Boqun Cheng, Li Zha:
JAMILA: A Usable Batch Job Management System to Coordinate Heterogeneous Clusters and Diverse Applications over Grid or Cloud Infrastructure. NPC 2010: 412-422
[c4]
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Xiaoyi Lu, Jian Lin, Yongqiang Zou, Juan Peng, Xingwu Liu, Li Zha:
Investigating, Modeling, and Ranking Interface Complexity of Web Services on the World Wide Web. SERVICES 2010: 375-382

2000 – 2009

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2009
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Xiaoyi Lu, Yongqiang Zou, Fei Xiong, Jian Lin, Li Zha:
ICOMC: Invocation Complexity Of Multi-Language Clients for Classified Web Services and its Impact on Large Scale SOA Applications. PDCAT 2009: 186-194
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Qiang Yue, Xiaoyi Lu, Zhiguang Shan, Zhiwei Xu, Haiyan Yu, Li Zha:
A Model of Message-Based Debugging Facilities for Web or Grid Services. SERVICES I 2009: 155-162
2008
[c1]
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Xiaoyi Lu, Qiang Yue, Yongqiang Zou, Xiaoning Wang:
An Experimental Analysis for Memory Usage of GOS Core. PDCAT 2008: 33-36

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