Jiajia Li

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	总计	2018 年至今
引用	1198	1090
h 指数	18	17
i10 指数	24	23

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Richard VuducGeorgia Institute of Technology在 cc.gatech.edu 的电子邮件经过验证
Jimeng SunProfessor at University of Illinois Urbana-Champaign在 illinois.edu 的电子邮件经过验证
Mingyu Chen (陈明宇)Institute of Computing Technology,Chinese Academy of Sciences在 ict.ac.cn 的电子邮件经过验证
Ang LiSenior Computer Scientist, Pacific Northwest National Laboratory在 pnnl.gov 的电子邮件经过验证
Kevin J. BarkerHigh Performance Computing Group Lead, Pacific Northwest National Laboratory在 pnnl.gov 的电子邮件经过验证
Yuchen MaCollege of William and Mary在 email.wm.edu 的电子邮件经过验证
Jee W. ChoiUniversity of Oregon在 uoregon.edu 的电子邮件经过验证
Jeffrey YoungResearch Scientist, Georgia Institute of Technology在 gatech.edu 的电子邮件经过验证
Tom ConteAssociate Dean for Research, College of Computing; Professor of CS and ECE, Georgia Institute of在 gatech.edu 的电子邮件经过验证
Jieyang ChenOak Ridge National Laboratory, University of California, Riverside在 ornl.gov 的电子邮件经过验证
Shuaiwen Leon SongSenior Principal Scientist, Microsoft; SOAR Associate Professor, University of Sydney在 sydney.edu.au 的电子邮件经过验证
Ioakeim PerrosLead Staff Machine Learning Scientist, HEALTH[at]SCALE在 healthatscale.com 的电子邮件经过验证
Shaden SmithPrincipal Research SDE, Microsoft在 microsoft.com 的电子邮件经过验证
Eric HeinGeorgia Institute of Technology在 gatech.edu 的电子邮件经过验证
Jason RiedyMember Technical Staff, Lucata Corporation在 acm.org 的电子邮件经过验证
Srinivas EswarPhD Student, Georgia Institute of Technology在 gatech.edu 的电子邮件经过验证
Chunhua LiaoSenior Computer Scientist, Lawrence Livermore National Laboratory在 llnl.gov 的电子邮件经过验证
Xipeng ShenProfessor of Computer Science, North Carolina State University在 ncsu.edu 的电子邮件经过验证
Ümit V. ÇatalyürekProfessor, Computational Science and Engineering, Georgia Institute of Technology在 gatech.edu 的电子邮件经过验证
Nathan R. TallentPacific Northwest National Laboratory在 pnnl.gov 的电子邮件经过验证

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Jiajia Li

North Carolina State University

在 ncsu.edu 的电子邮件经过验证 - 首页

Tensor Algorithms High Performance Computing Parallel Computing


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect A Li, SL Song, J Chen, J Li, X Liu, N Tallent, K Barker https://ieeexplore.ieee.org/document/8763922, 2019	147	2019
SMAT: An input adaptive auto-tuner for sparse matrix-vector multiplication J Li, G Tan, M Chen, N Sun Proceedings of the 34th ACM SIGPLAN conference on Programming language …, 2013	142	2013
FROSTT: The formidable repository of open sparse tensors and tools S Smith, JW Choi, J Li, R Vuduc, J Park, X Liu, G Karypis	116	2017
HiCOO: Hierarchical storage of sparse tensors J Li, J Sun, R Vuduc SC18: International Conference for High Performance Computing, Networking …, 2018	82	2018
Bridging the gap between deep learning and sparse matrix format selection Y Zhao, J Li, C Liao, X Shen Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of …, 2018	79	2018
An input-adaptive and in-place approach to dense tensor-times-matrix multiply J Li, C Battaglino, I Perros, J Sun, R Vuduc Proceedings of the International Conference for High Performance Computing …, 2015	76	2015
Understanding the GPU microarchitecture to achieve bare-metal performance tuning X Zhang, G Tan, S Xue, J Li, K Zhou, M Chen Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of …, 2017	62	2017
Model-driven sparse CP decomposition for higher-order tensors J Li, J Choi, I Perros, J Sun, R Vuduc 2017 IEEE international parallel and distributed processing symposium (IPDPS …, 2017	60	2017
Optimizing sparse tensor times matrix on multi-core and many-core architectures J Li, Y Ma, C Yan, R Vuduc 2016 6th Workshop on Irregular Applications: Architecture and Algorithms …, 2016	40	2016
A pattern based algorithmic autotuner for graph processing on GPUs K Meng, J Li, G Tan, N Sun Proceedings of the 24th Symposium on Principles and Practice of Parallel …, 2019	38	2019
Load-Balanced Sparse MTTKRP on GPUs I Nisa, J Li, A Sukumaran-Rajam, R Vuduc, P Sadayappan https://ieeexplore.ieee.org/document/8821030, 2019	35	2019
Design and implementation of adaptive spmv library for multicore and many-core architecture G Tan, J Liu, J Li ACM Transactions on Mathematical Software (TOMS) 44 (4), 1-25, 2018	30	2018
Optimizing sparse tensor times matrix on GPUs Y Ma, J Li, X Wu, C Yan, J Sun, R Vuduc Journal of Parallel and Distributed Computing 129, 99-109, 2019	27	2019
Efficient and effective sparse tensor reordering J Li, B Uçar, ÜV Çatalyürek, J Sun, K Barker, R Vuduc Proceedings of the ACM International Conference on Supercomputing, 227-237, 2019	26	2019
An initial characterization of the Emu Chick E Hein, T Conte, J Young, S Eswar, J Li, P Lavin, R Vuduc, J Riedy 2018 IEEE International Parallel and Distributed Processing Symposium …, 2018	26	2018
An optimized large-scale hybrid DGEMM design for CPUs and ATI GPUs J Li, X Li, G Tan, M Chen, N Sun Proceedings of the 26th ACM international conference on Supercomputing, 377-386, 2012	22	2012
PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite J Li, Y Ma, X Wu, A Li, K Barker https://link.springer.com/article/10.1007/s42514-019-00012-w 1 (2), 111–130, 2019	21	2019
An efficient mixed-mode representation of sparse tensors I Nisa, J Li, A Sukumaran-Rajam, PS Rawat, S Krishnamoorthy, ... Proceedings of the International Conference for High Performance Computing …, 2019	20	2019
Programming strategies for irregular algorithms on the emu chick ER Hein, S Eswar, A Yaşar, J Li, JS Young, TM Conte, ÜV Çatalyürek, ... ACM Transactions on Parallel Computing (TOPC) 7 (4), 1-25, 2020	16	2020
ParTI!: A Parallel Tensor Infrastructure for Multicore CPU and GPUs J Li, Y Ma, V Richard Available from https://github.com/ hpcgarage/ParTI, 2018	16*	2018

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