Jiajia Li

Cited by

	All	Since 2016
Citations	635	588
h-index	14	13
i10-index	16	15

220

110

165

2013201420152016201720182019202020212 8 21 14 41 119 177 207 30

Co-authors

Richard VuducGeorgia Institute of TechnologyVerified email at cc.gatech.edu
Jimeng SunProfessor at University of Illinois Urbana-ChampaignVerified email at illinois.edu
Mingyu Chen (陈明宇)Institute of Computing Technology,Chinese Academy of SciencesVerified email at ict.ac.cn
Yuchen MaHong Kong University of Science and TechnologyVerified email at connect.ust.hk
Kevin J. BarkerHigh Performance Computing Group Lead, Pacific Northwest National LaboratoryVerified email at pnnl.gov
Ang LiSenior Computer Scientist, Pacific Northwest National LaboratoryVerified email at pnnl.gov
Jee W. ChoiUniversity of OregonVerified email at uoregon.edu
Ioakeim PerrosLead Machine Learning Scientist, HEALTH[at]SCALEVerified email at healthatscale.com
Jeffrey YoungResearch Scientist, Georgia Institute of TechnologyVerified email at gatech.edu
Tom ConteProfessor of CS and ECE, Georgia Institute of TechnologyVerified email at gatech.edu
Shaden SmithSenior Research SDE, MicrosoftVerified email at cs.umn.edu
Eric HeinGeorgia Institute of TechnologyVerified email at gatech.edu
Jason RiedySenior Research Scientist, Georgia Institute of TechnologyVerified email at cc.gatech.edu
Yue ZhaoFacebookVerified email at ncsu.edu
Chunhua LiaoSenior Computer Scientist, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Xipeng ShenProfessor of Computer Science, North Carolina State UniversityVerified email at ncsu.edu
Jongsoo ParkResearch Scientist, FacebookVerified email at fb.com
Xing LiuResearch Scientist, FacebookVerified email at fb.com
Patrick LavinPh.D. Student, Georgia TechVerified email at gatech.edu
Ümit V. ÇatalyürekProfessor, Computational Science and Engineering, Georgia Institute of TechnologyVerified email at gatech.edu

Jiajia Li

Pacific Northwest National Laboratory

Verified email at pnnl.gov - Homepage

Tensor Algorithms High Performance Computing Parallel Computing


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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	98	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	65	2017
An input-adaptive and in-place approach to dense tensor-times-matrix multiply J Li, C Battaglino, I Perros, J Sun, R Vuduc SC'15: Proceedings of the International Conference for High Performance …, 2015	59	2015
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	45	2017
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	44	2019
HiCOO: Hierarchical storage of sparse tensors J Li, J Sun, R Vuduc SC18: International Conference for High Performance Computing, Networking …, 2018	42	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	40	2018
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	38	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	33	2016
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	18	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	18	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	17	2012
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	16	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	14	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	13	2018
A microbenchmark characterization of the Emu Chick JS Young, E Hein, S Eswar, P Lavin, J Li, J Riedy, R Vuduc, T Conte Parallel Computing 87, 60-69, 2019	10	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	9	2019
Introducing high performance computing concepts into engineering undergraduate curriculum: a success story B Neelima, J Li Proceedings of the Workshop on Education for High-Performance Computing, 1-8, 2015	8	2015
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	7	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	6	2020

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