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ORCIDXiaoyi Lu 0001
Person information
- affiliation: University of Florida, Department of Electrical and Computer Engineering, Gainesville, FL, USA
- affiliation: University of California, Department of Computer Science and Engineering, Merced, CA, USA
- affiliation: Ohio State University, Department of Computer Science and Engineering, Columbus, OH, USA
Other persons with the same name
- Xiaoyi Lu — disambiguation page
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2020 – today
- 2026
[c132]Jiaqi Xu
, Zhaorui Zhang, Gaolin Wei, Sheng Di, Benben Liu, Xiaodong Yu, Xiaoyi Lu:
DeepEBC: Compressing the Pre-Trained LLMs with Error-Bounded Lossy Compression. SCA/HPC Asia Workshops 2026: 274-283- 2025
- [j16]Zhaorui Zhang, Sheng Di, Benben Liu, Zhuoran Ji, Guanpeng Li, Xiaoyi Lu, Amelie Chi Zhou, Khalid Ayedh Alharthi, Jiannong Cao:
FedEFsz: Fair Cross-Silo Federated Learning System With Error-Bounded Lossy Compression. IEEE Trans. Parallel Distributed Syst. 36(12): 2482-2496 (2025) - [c131]Rahul Sidramappa Hoskeri, Xiaoyi Lu, Hua Huang:
Poster Abstract: Power Sensing Without Wires: Monitoring Usage via Electromagnetic Fields. BuildSys 2025: 312-313 - [c130]Arjun Kashyap, Yuke Li, Xiaoyi Lu:
DPU-KV: On the Benefits of DPU Offloading for In-Memory Key-Value Stores at the Edge. HPDC 2025: 11:1-11:14 - [c129]Arjun Kashyap, Yuke Li, Darren Ng, Xiaoyi Lu:
Understanding the Idiosyncrasies of Emerging BlueField DPUs. ICS 2025: 807-821 - [c128]Weicong Chen, Sarah J. Carr, Jing Zhang, Curtis Tatsuoka, Xiaoyi Lu:
SPRT2: Scalable, Parallel, and Real-Time fMRI Data Analysis on Heterogeneous Architectures. IPDPS 2025: 570-581 - [c127]Weicong Chen, Hao Qi, Curtis Tatsuoka, Xiaoyi Lu:
SBMGT: Scaling Bayesian Multinomial Group Testing. PPoPP 2025: 512-523 - [c126]Songkai Ma, Zhaorui Zhang, Sheng Di, Benben Liu, Xiaodong Yu, Xiaoyi Lu, Dan Wang:
Compression Error Sensitivity Analysis for Different Experts in MoE Model Inference. SC Workshops 2025: 339-348 - [c125]Adam Weingram, Duo Zhang, Zhonghao Chen, Hao Qi, Xiaoyi Lu:
HPC-R1: Characterizing R1-like Large Reasoning Models on HPC. SC 2025: 1368-1380 - [c124]Hao Qi, Weicong Chen, Chenghong Wang, Xiaoyi Lu:
DPAR: High-Performance, Secure, and Scalable Differential Privacy-based AllReduce. SC 2025: 1917-1934 - [i7]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Xiaoyi Lu, Ken Raffenetti, Hui Zhou, Kai Zhao, Khalid Ayedh Alharthi, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression. CoRR abs/2502.18554 (2025) - [i6]Songkai Ma, Zhaorui Zhang, Sheng Di, Benben Liu, Xiaodong Yu, Xiaoyi Lu, Dan Wang:
MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? CoRR abs/2509.07727 (2025) - 2024
- [j15]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) - [j14]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) - [j13]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) - [c123]Jianbo Dong, Hao Qi, Tianjing Xu, Xiaoli Liu, Chen Wei, Rongyao Wang, Xiaoyi Lu, Zheng Cao, Binzhang Fu:
Kspeed: Beating I/O Bottlenecks of Data Provisioning for RDMA Training Clusters. ICNP 2024: 1-12 - [c122]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 - [c121]Yuke Li, Arjun Kashyap, Weicong Chen, Yanfei Guo, Xiaoyi Lu:
Accelerating Lossy and Lossless Compression on Emerging BlueField DPU Architectures. IPDPS 2024: 373-385 - [c120]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 - [c119]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 - [c118]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 - [c117]Yafan Huang, Sheng Di, Zhaorui Zhang, Xiaoyi Lu, Guanpeng Li:
Versatile Datapath Soft Error Detection on the Cheap for HPC Applications. SC 2024: 55 - [c116]Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Zizhe Jian, Xin Liang, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur:
hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression. SC 2024: 104 - [i5]Deyi Xing, Weicong Chen, Curtis Tatsuoka, Xiaoyi Lu:
Ba-ZebraConf: A Three-Dimension Bayesian Framework for Efficient System Troubleshooting. CoRR abs/2412.11073 (2024) - 2023
- [j12]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) - [c115]Yuke Li, Arjun Kashyap, Yanfei Guo, Xiaoyi Lu:
Characterizing Lossy and Lossless Compression on Emerging BlueField DPU Architectures. HOTI 2023: 33-40 - [c114]Hao Qi, Liuyao Dai, Weicong Chen, Zhen Jia, Xiaoyi Lu:
Performance Characterization of Large Language Models on High-Speed Interconnects. HOTI 2023: 53-60 - [c113]Weicong Chen, Hao Qi, Xiaoyi Lu, Curtis Tatsuoka:
SBGT: Scaling Bayesian-based Group Testing for Disease Surveillance. IPDPS 2023: 951-962 - 2022
- [j11]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) - [c112]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 - [c111]Weicong Chen, Curtis Tatsuoka, Xiaoyi Lu:
HiBGT: High-Performance Bayesian Group Testing for COVID-19. HIPC 2022: 176-185 - [c110]Arjun Kashyap, Xiaoyi Lu:
NVMe-oAF: Towards Adaptive NVMe-oF for IO-Intensive Workloads on HPC Cloud. HPDC 2022: 56-70 - [i4]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
- [c109]Shashank Gugnani, Xiaoyi Lu:
DStore: A Fast, Tailless, and Quiescent-Free Object Store for PMEM. HPDC 2021: 31-43 - [c108]Shashank Gugnani, Tianxi Li, Xiaoyi Lu:
NVMe-CR: A Scalable Ephemeral Storage Runtime for Checkpoint/Restart with NVMe-over-Fabrics. IPDPS 2021: 172-181 - [c107]Tianxi Li, Haiyang Shi, Xiaoyi Lu:
HatRPC: hint-accelerated thrift RPC over RDMA. SC 2021: 36 - [i3]Xiaoyi Lu, Arjun Kashyap:
Towards Offloadable and Migratable Microservices on Disaggregated Architectures: Vision, Challenges, and Research Roadmap. CoRR abs/2104.11272 (2021) - 2020
- [j10]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) - [j9]Shashank Gugnani, Arjun Kashyap, Xiaoyi Lu:
Understanding the Idiosyncrasies of Real Persistent Memory. Proc. VLDB Endow. 14(4): 626-639 (2020) - [c106]Arjun Kashyap, Shashank Gugnani, Xiaoyi Lu:
Impact of Commodity Networks on Storage Disaggregation with NVMe-oF. Bench 2020: 41-56 - [c105]Xiaoyi Lu, Jianfeng Zhan:
Workshop 7: HPBDC High-Performance Big Data and Cloud Computing. IPDPS Workshops 2020: 385 - [c104]Tianxi Li, Dipti Shankar, Shashank Gugnani, Xiaoyi Lu:
RDMP-KV: designing remote direct memory persistence based key-value stores with PMEM. SC 2020: 52 - [c103]Haiyang Shi, Xiaoyi Lu:
INEC: fast and coherent in-network erasure coding. SC 2020: 66 - [e1]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
- 2019
- [j8]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) - [j7]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) - [c102]Yujie Hui, Jeffrey Lien, Xiaoyi Lu:
Early Experience in Benchmarking Edge AI Processors with Object Detection Workloads. Bench 2019: 32-48 - [c101]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 - [c100]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 - [c99]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 - [c98]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 - [c97]Xiaoyi Lu, Jianfeng Zhan, Dhabaleswar K. Panda:
Introduction to HPBDC 2019. IPDPS Workshops 2019: 394 - [c96]Haiyang Shi, Xiaoyi Lu:
TriEC: tripartite graph based erasure coding NIC offload. SC 2019: 44:1-44:34 - 2018
- [j6]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) - [j5]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) - [j4]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) - [c95]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 - [c94]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 - [c93]Haiyang Shi, Xiaoyi Lu, Dhabaleswar K. Panda:
EC-Bench: Benchmarking Onload and Offload Erasure Coders on Modern Hardware Architectures. Bench 2018: 215-230 - [c92]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 - [c91]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 - [c90]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 - [c89]Rajarshi Biswas, Xiaoyi Lu, Dhabaleswar K. Panda:
Accelerating TensorFlow with Adaptive RDMA-Based gRPC. HiPC 2018: 2-11 - [c88]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 - [c87]Xiaoyi Lu, Jianfeng Zhan, Dhabaleswar K. Panda:
Introduction to HPBDC 2018. IPDPS Workshops 2018: 446 - [c86]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 - [c85]Shashank Gugnani, Xiaoyi Lu, Dhabaleswar K. Panda:
Analyzing, Modeling, and Provisioning QoS for NVMe SSDs. UCC 2018: 247-256 - [i2]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
- [j3]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) - [j2]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) - [c84]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 - [c83]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 - [c82]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 - [c81]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 - [c80]Shashank Gugnani, Xiaoyi Lu, Dhabaleswar K. Panda:
Swift-X: Accelerating OpenStack Swift with RDMA for Building an Efficient HPC Cloud. CCGrid 2017: 238-247 - [c79]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 - [c78]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 - [c77]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 - [c76]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 - [c75]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 - [c74]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 - [c73]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 - [c72]Xiaoyi Lu, Jianfeng Zhan, Dhabaleswar K. Panda:
Introduction to HPBDC Workshop. IPDPS Workshops 2017: 1020 - [c71]Mohammadreza Bayatpour, Sourav Chakraborty, Hari Subramoni, Xiaoyi Lu, Dhabaleswar K. Panda:
Scalable reduction collectives with data partitioning-based multi-leader design. SC 2017: 64 - [c70]Jie Zhang, Xiaoyi Lu, Dhabaleswar K. Panda:
Is Singularity-based Container Technology Ready for Running MPI Applications on HPC Clouds? UCC 2017: 151-160 - [c69]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 - [c68]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 - [p1]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
- [j1]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) - [c67]Shashank Gugnani, Xiaoyi Lu, Dhabaleswar K. Panda:
Performance characterization of hadoop workloads on SR-IOV-enabled virtualized InfiniBand clusters. BDCAT 2016: 36-45 - [c66]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 - [c65]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 - [c64]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 - [c63]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 - [c62]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 - [c61]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 - [c60]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 - [c59]Jie Zhang, Xiaoyi Lu, Dhabaleswar K. Panda:
High Performance MPI Library for Container-Based HPC Cloud on InfiniBand Clusters. ICPP 2016: 268-277 - [c58]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 - [c57]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 - [c56]Dhabaleswar K. Panda, Jianfeng Zhan, Xiaoyi Lu:
HPBDC Introduction and Committees. IPDPS Workshops 2016: 1596 - [c55]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 - [c54]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 - [c53]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 - [c52]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 - [c51]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 - [c50]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
- [c49]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 - [c48]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 - [c47]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 - [c46]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 - [c45]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 - [c44]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 - [c43]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 - [c42]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 - [c41]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 - [c40]Lu Chao, Chundian Li, Fan Liang, Xiaoyi Lu, Zhiwei Xu:
Accelerating Apache Hive with MPI for Data Warehouse Systems. ICDCS 2015: 664-673 - [c39]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 - [c38]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 - [c37]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 - [c36]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 - [c35]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
- [c34]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 - [c33]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 - [c32]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 - [c31]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 - [c30]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 - [c29]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 - [c28]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 - [c27]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 - [c26]Md. Wasi-ur-Rahman, Xiaoyi Lu, Nusrat Sharmin Islam, Dhabaleswar K. Panda:
Performance Modeling for RDMA-Enhanced Hadoop MapReduce. ICPP 2014: 50-59 - [c25]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 - [c24]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 - [c23]Xiaoyi Lu, Fan Liang, Bing Wang, Li Zha, Zhiwei Xu:
DataMPI: Extending MPI to Hadoop-Like Big Data Computing. IPDPS 2014: 829-838 - [c22]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 - [c21]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 - [c20]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 - [c19]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 - [c18]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 - [c17]Fan Liang, Chen Feng, Xiaoyi Lu, Zhiwei Xu:
Performance Benefits of DataMPI: A Case Study with BigDataBench. BPOE@ASPLOS/VLDB 2014: 111-123 - [i1]Fan Liang, Chen Feng, Xiaoyi Lu, Zhiwei Xu:
Performance Benefits of DataMPI: A Case Study with BigDataBench. CoRR abs/1403.3480 (2014) - 2013
- [c16]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 - [c15]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 - [c14]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 - [c13]Dhabaleswar K. Panda, Xiaoyi Lu:
Tutorials. Hot Interconnects 2013 - [c12]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 - [c11]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 - [c10]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 - [c9]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
- [c8]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
- [c7]Xiaoyi Lu, Bing Wang, Li Zha, Zhiwei Xu:
Can MPI Benefit Hadoop and MapReduce Applications? ICPP Workshops 2011: 371-379 - [c6]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
- [c5]Jian Lin, Xiaoyi Lu, Lin Yu, Yongqiang Zou, Li Zha:
VegaWarden: A Uniform User Management System for Cloud Applications. NAS 2010: 457-464 - [c4]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
- 2009
- [c3]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 - [c2]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]Xiaoyi Lu, Qiang Yue, Yongqiang Zou, Xiaoning Wang:
An Experimental Analysis for Memory Usage of GOS Core. PDCAT 2008: 33-36
Coauthor Index
Nusrat S. Islam
aka: Nusrat Sharmin Islam
aka: Nusrat Sharmin Islam
Dhabaleswar K. Panda 0001
aka: Dhabaleswar K. D. K. Panda
aka: Dhabaleswar K. D. K. Panda
[j7] [c101] [c100] [c99] [c98] [c97] [j6] [j5] [j4] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [i2] [j3] [j2] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [p1] [j1] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c46] [c45] [c44] [c43] [c42] [c41] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c21] [c20] [c19] [c18] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8]
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