引用次数
引用: 1,653
H-指数: 21
I10-指数 : 29
出版物: 48
Study of Choosing the Optimal Storage Format of Sparse Matrix Vector Multiplication
L Jiajia , ZHANG Xiuxia , T Guangming , C Mingyu
Journal of Computer Research and Development 51 ( 4) 882
3
2014
Clinical characteristics of fatalities due to influenza A (H1N1) virus in Mexico.
Rollando Rollando , Maywan Hariono , GA Strobel , M Tanaka
Asian Journal of Cell Biology 12 ( 1) 535 -544
2003
Optimizing sparse tensor times matrix on multi-core and many-core architectures
Richard Vuduc , Jiajia Li , Yuchen Ma , Chenggang Yan
irregular applications: architectures and algorithms 26 -33
41
2016
Scalable tensor decompositions in high performance computing environments
Jiajia Li
Georgia Institute of Technology
4
2018
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect
Nathan R. Tallent , Shuaiwen Leon Song , Jiajia Li , Jieyang Chen
IEEE Transactions on Parallel and Distributed Systems 31 ( 1) 94 -110
152
2020
Sparta: high-performance, element-wise sparse tensor contraction on heterogeneous memory
Roberto Gioiosa , Jiajia Li , Dong Li , Jie Ren
acm sigplan symposium on principles and practice of parallel programming 318 -333
2
2021
Athena: high-performance sparse tensor contraction sequence on heterogeneous memory
Roberto Gioiosa , Jiajia Li , Dong Li , Jiawen Liu
international conference on supercomputing
1
2021
SMAT: an input adaptive auto-tuner for sparse matrix-vector multiplication
Jiajia Li , Guangming Tan , Mingyu Chen , Ninghui Sun
programming language design and implementation 48 ( 6) 117 -126
143
2013
A pattern based algorithmic autotuner for graph processing on GPUs
Ke Meng , Jiajia Li , Guangming Tan , Ninghui Sun
acm sigplan symposium on principles and practice of parallel programming 201 -213
20
2019
An efficient mixed-mode representation of sparse tensors
Israt Nisa , Jiajia Li , Aravind Sukumaran-Rajam , Prasant Singh Rawat
ieee international conference on high performance computing data and analytics 49
7
2019
An optimized large-scale hybrid DGEMM design for CPUs and ATI GPUs
Jiajia Li , Xingjian Li , Guangming Tan , Mingyu Chen
Proceedings of the 26th ACM international conference on Supercomputing - ICS '12 377 -386
16
2012
An Initial Characterization of the Emu Chick
Jason Riedy , Eric Hein , Tom Conte , Jeffrey Young
international parallel and distributed processing symposium 579 -588
17
2018
Introducing high performance computing concepts into engineering undergraduate curriculum: a success story
B. Neelima , Jiajia Li
ieee international conference on high performance computing data and analytics 6
7
2015
Optimizing sparse tensor times matrix on GPUs
Yuchen Ma , Jiajia Li , Xiaolong Wu , Chenggang Yan
Journal of Parallel and Distributed Computing 129 99 -109
15
2019
Efficient and effective sparse tensor reordering
Jiajia Li , Bora Uçar , Ümit V. Çatalyürek , Jimeng Sun
international conference on supercomputing 227 -237
9
2019
Bridging the gap between deep learning and sparse matrix format selection
Yue Zhao , Jiajia Li , Chunhua Liao , Xipeng Shen
acm sigplan symposium on principles and practice of parallel programming 53 ( 1) 94 -108
41
2018
Programming Strategies for Irregular Algorithms on the Emu Chick
Eric R. Hein , Srinivas Eswar , Abdurrahman Yaşar , Jiajia Li
parallel computing 7 ( 4) 1 -25
6
2020
Model-Driven Sparse CP Decomposition for Higher-Order Tensors
Jiajia Li , Jee Choi , Ioakeim Perros , Jimeng Sun
international parallel and distributed processing symposium 1048 -1057
61
2017
Load-Balanced Sparse MTTKRP on GPUs
Israt Nisa , Jiajia Li , Aravind Sukumaran-Rajam , Richard Vuduc
international parallel and distributed processing symposium 123 -133
37
2019
POSTER: Bridging the Gap Between Deep Learning and Sparse Matrix Format Selection
Yue Zhao , Jiajia Li , Chunhua Liao , Xipeng Shen
international conference on parallel architectures and compilation techniques 152 -153
2
2017