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Jiajia Li
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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
2982019
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
1752013
FROSTT: The formidable repository of open sparse tensors and tools
S Smith, JW Choi, J Li, R Vuduc, J Park, X Liu, G Karypis
1712017
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
1322018
HiCOO: Hierarchical storage of sparse tensors
J Li, J Sun, R Vuduc
SC18: International Conference for High Performance Computing, Networking …, 2018
1222018
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
882015
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
742017
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
682017
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
572019
Load-Balanced Sparse MTTKRP on GPUs
I Nisa, J Li, A Sukumaran-Rajam, R Vuduc, P Sadayappan
https://ieeexplore.ieee.org/document/8821030, 2019
562019
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
482016
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
462018
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
432019
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
422019
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
392019
Sparta: High-performance, element-wise sparse tensor contraction on heterogeneous memory
J Liu, J Ren, R Gioiosa, D Li, J Li
Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of …, 2021
362021
Alphasparse: Generating high performance spmv codes directly from sparse matrices
Z Du, J Li, Y Wang, X Li, G Tan, N Sun
SC22: International Conference for High Performance Computing, Networking …, 2022
292022
The landscape of software for tensor computations
C Psarras, L Karlsson, J Li, P Bientinesi
arXiv preprint arXiv:2103.13756, 2021
282021
ParTI!: A Parallel Tensor Infrastructure for Multicore CPU and GPUs
J Li, Y Ma, V Richard
Available from https://github.com/ hpcgarage/ParTI, 2018
27*2018
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
262019
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