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Xiaoyi Lu
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2020 – today
- 2024
- [j16]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) - [j15]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) - [c125]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]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]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]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]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]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]Yuke Li, Arjun Kashyap, Yanfei Guo, Xiaoyi Lu:
Characterizing Lossy and Lossless Compression on Emerging BlueField DPU Architectures. HOTI 2023: 33-40 - [c119]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]Weicong Chen, Hao Qi, Xiaoyi Lu, Curtis Tatsuoka:
SBGT: Scaling Bayesian-based Group Testing for Disease Surveillance. IPDPS 2023: 951-962 - 2022
- [j13]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]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]Weicong Chen, Curtis Tatsuoka, Xiaoyi Lu:
HiBGT: High-Performance Bayesian Group Testing for COVID-19. HIPC 2022: 176-185 - [c115]Arjun Kashyap, Xiaoyi Lu
:
NVMe-oAF: Towards Adaptive NVMe-oF for IO-Intensive Workloads on HPC Cloud. HPDC 2022: 56-70 - [i5]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]Yang Wang, Xiaoyi Lu, Wenjun Zhou:
Global Adaptive Optimization Parameters For Robust Pupil Location. CIS 2021: 285-289 - [c113]Shashank Gugnani, Xiaoyi Lu:
DStore: A Fast, Tailless, and Quiescent-Free Object Store for PMEM. HPDC 2021: 31-43 - [c112]Yujie Hui, Jeffrey Lien, Xiaoyi Lu:
Characterizing and Accelerating End-to-End EdgeAI Inference Systems for Object Detection Applications. SEC 2021: 1-12 - [c111]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]Tianxi Li, Haiyang Shi, Xiaoyi Lu:
HatRPC: hint-accelerated thrift RPC over RDMA. SC 2021: 36 - [i4]Xiaoyi Lu, Arjun Kashyap:
Towards Offloadable and Migratable Microservices on Disaggregated Architectures: Vision, Challenges, and Research Roadmap. CoRR abs/2104.11272 (2021) - 2020
- [j12]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]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]Shashank Gugnani, Arjun Kashyap, Xiaoyi Lu:
Understanding the Idiosyncrasies of Real Persistent Memory. Proc. VLDB Endow. 14(4): 626-639 (2020) - [c109]Arjun Kashyap, Shashank Gugnani, Xiaoyi Lu:
Impact of Commodity Networks on Storage Disaggregation with NVMe-oF. Bench 2020: 41-56 - [c108]Xiaoyi Lu, Jianfeng Zhan:
Workshop 7: HPBDC High-Performance Big Data and Cloud Computing. IPDPS Workshops 2020: 385 - [c107]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]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
- [j9]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]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]Yujie Hui, Jeffrey Lien, Xiaoyi Lu:
Early Experience in Benchmarking Edge AI Processors with Object Detection Workloads. Bench 2019: 32-48 - [c104]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]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]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]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]Xiaoyi Lu, Jianfeng Zhan, Dhabaleswar K. Panda:
Introduction to HPBDC 2019. IPDPS Workshops 2019: 394 - [c99]Haiyang Shi, Xiaoyi Lu:
TriEC: tripartite graph based erasure coding NIC offload. SC 2019: 44:1-44:34 - 2018
- [j7]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]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]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]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]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]Haiyang Shi, Xiaoyi Lu, Dhabaleswar K. Panda:
EC-Bench: Benchmarking Onload and Offload Erasure Coders on Modern Hardware Architectures. Bench 2018: 215-230 - [c95]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]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]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]Rajarshi Biswas
, Xiaoyi Lu, Dhabaleswar K. Panda:
Accelerating TensorFlow with Adaptive RDMA-Based gRPC. HiPC 2018: 2-11 - [c91]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]Xiaoyi Lu, Jianfeng Zhan, Dhabaleswar K. Panda:
Introduction to HPBDC 2018. IPDPS Workshops 2018: 446 - [c89]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]Shashank Gugnani, Xiaoyi Lu, Dhabaleswar K. Panda:
Analyzing, Modeling, and Provisioning QoS for NVMe SSDs. UCC 2018: 247-256 - [i3]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]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) - [j3]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) - [c87]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 - [c86]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 - [c85]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]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 - [c83]Shashank Gugnani, Xiaoyi Lu, Dhabaleswar K. Panda:
Swift-X: Accelerating OpenStack Swift with RDMA for Building an Efficient HPC Cloud. CCGrid 2017: 238-247 - [c82]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 - [c81]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 - [c80]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 - [c79]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 - [c78]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 - [c77]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 - [c76]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 - [c75]Xiaoyi Lu, Jianfeng Zhan, Dhabaleswar K. Panda:
Introduction to HPBDC Workshop. IPDPS Workshops 2017: 1020 - [c74]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 - [c73]Mohammadreza Bayatpour, Sourav Chakraborty, Hari Subramoni
, Xiaoyi Lu, Dhabaleswar K. Panda:
Scalable reduction collectives with data partitioning-based multi-leader design. SC 2017: 64 - [c72]Jie Zhang, Xiaoyi Lu, Dhabaleswar K. Panda:
Is Singularity-based Container Technology Ready for Running MPI Applications on HPC Clouds? UCC 2017: 151-160 - [c71]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 - [c70]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
- [j2]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]Shashank Gugnani, Xiaoyi Lu, Dhabaleswar K. Panda:
Performance characterization of hadoop workloads on SR-IOV-enabled virtualized InfiniBand clusters. BDCAT 2016: 36-45 - [c68]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 - [c67]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 - [c66]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]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 - [c64]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 - [c63]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 - [c62]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 - [c61]Jie Zhang, Xiaoyi Lu, Dhabaleswar K. Panda:
High Performance MPI Library for Container-Based HPC Cloud on InfiniBand Clusters. ICPP 2016: 268-277 - [c60]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 - [c59]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 - [c58]Dhabaleswar K. Panda, Jianfeng Zhan, Xiaoyi Lu:
HPBDC Introduction and Committees. IPDPS Workshops 2016: 1596 - [c57]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]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 - [c55]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 - [c54]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 - [c53]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 - [c52]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
- [j1]Fan Liang, Xiaoyi Lu:
Accelerating Iterative Big Data Computing Through MPI. J. Comput. Sci. Technol. 30(2): 283-294 (2015) - [c51]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]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 - [c49]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]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 - [c47]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 - [c46]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 - [c45]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]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 - [c43]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]Lu Chao, Chundian Li, Fan Liang, Xiaoyi Lu, Zhiwei Xu:
Accelerating Apache Hive with MPI for Data Warehouse Systems. ICDCS 2015: 664-673 - [c41]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 - [c40]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]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 - [c38]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]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]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]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 - [c34]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]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 - [c32]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 - [c31]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]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]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]Md. Wasi-ur-Rahman, Xiaoyi Lu, Nusrat Sharmin Islam, Dhabaleswar K. Panda:
Performance Modeling for RDMA-Enhanced Hadoop MapReduce. ICPP 2014: 50-59 - [c27]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 - [c26]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]Xiaoyi Lu, Fan Liang, Bing Wang, Li Zha, Zhiwei Xu:
DataMPI: Extending MPI to Hadoop-Like Big Data Computing. IPDPS 2014: 829-838 - [c24]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]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]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]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 - [c20]Rui Han, Xiaoyi Lu, Jiangtao Xu:
On Big Data Benchmarking. BPOE@ASPLOS/VLDB 2014: 3-18 - [c19]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 - [c18]Fan Liang, Chen Feng, Xiaoyi Lu, Zhiwei Xu:
Performance Benefits of DataMPI: A Case Study with BigDataBench. BPOE@ASPLOS/VLDB 2014: 111-123 - [i2]Rui Han, Xiaoyi Lu:
On Big Data Benchmarking. CoRR abs/1402.5194 (2014) - [i1]Fan Liang, Chen Feng, Xiaoyi Lu, Zhiwei Xu:
Performance Benefits of DataMPI: A Case Study with BigDataBench. CoRR abs/1403.3480 (2014) - 2013
- [c17]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 - [c16]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]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]Dhabaleswar K. Panda, Xiaoyi Lu:
Tutorials. Hot Interconnects 2013 - [c13]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 - [c12]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]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]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]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]Xiaoyi Lu, Bing Wang, Li Zha, Zhiwei Xu:
Can MPI Benefit Hadoop and MapReduce Applications? ICPP Workshops 2011: 371-379 - [c7]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]Jian Lin
, Xiaoyi Lu, Lin Yu, Yongqiang Zou, Li Zha:
VegaWarden: A Uniform User Management System for Cloud Applications. NAS 2010: 457-464 - [c5]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]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
aka: Nusrat Sharmin Islam
aka: Dhabaleswar K. D. K. Panda
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