Jiajia Li

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 42

Top Venues

CoRR

PPoPP

ACM Trans. Parallel Comput.

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Guofeng Feng, Weile Jia, Ninghui Sun, Guangming Tan, Jiajia Li
POSTER: Optimizing Sparse Tensor Contraction with Revisiting Hash Table Design. PPoPP (2024)
Keren Zhou, Karthik Ganapathi Subramanian, Po-Hsun Lin, Matthias Fey, Binqian Yin, Jiajia Li
FASTEN: Fast GPU-accelerated Segmented Matrix Multiplication for Heterogenous Graph Neural Networks. ICS (2024)
Shruti Shivakumar, Jiajia Li, Ramakrishnan Kannan, Srinivas Aluru
Sparse Symmetric Format for Tucker Decomposition. IEEE Trans. Parallel Distributed Syst. 34 (6) (2023)
Zheng Miao, Jon C. Calhoun, Rong Ge, Jiajia Li
Performance Implication of Tensor Irregularity and Optimization for Distributed Tensor Decomposition. ACM Trans. Parallel Comput. 10 (2) (2023)
Shruti Shivakumar, Ilya Amburg, Sinan G. Aksoy, Jiajia Li, Stephen J. Young, Srinivas Aluru
Fast Parallel Tensor Times Same Vector for Hypergraphs. HiPC (2023)
Zhen Xie, Jie Liu, Jiajia Li, Dong Li
Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness. PPoPP (2023)
Shruti Shivakumar, Ilya Amburg, Sinan G. Aksoy, Jiajia Li, Stephen J. Young, Srinivas Aluru
Fast Parallel Tensor Times Same Vector for Hypergraphs. CoRR (2023)
Zhen Du, Jiajia Li, Yinshan Wang, Xueqi Li, Guangming Tan, Ninghui Sun
AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices. CoRR (2022)
Zhen Du, Jiajia Li, Yinshan Wang, Xueqi Li, Guangming Tan, Ninghui Sun
AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices. SC (2022)
Jieyang Chen, Chenhao Xie, Jesun Sahariar Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems. CoRR (2022)
Zhen Xie, Jie Liu, Sam Ma, Jiajia Li, Dong Li
LB-HM: load balance-aware data placement on heterogeneous memory for task-parallel HPC applications. PPoPP (2022)
Cheng Tan, Nicolas Bohm Agostini, Tong Geng, Chenhao Xie, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs. HPCA (2022)
Jiawen Liu, Jie Ren, Roberto Gioiosa, Dong Li, Jiajia Li
Sparta: high-performance, element-wise sparse tensor contraction on heterogeneous memory. PPoPP (2021)
Shruti Shivakumar, Jiajia Li, Ramakrishnan Kannan, Srinivas Aluru
Efficient Parallel Sparse Symmetric Tucker Decomposition for High-Order Tensors. ACDA (2021)
Tong Geng, Chunshu Wu, Cheng Tan, Chenhao Xie, Anqi Guo, Pouya Haghi, Sarah Yuan He, Jiajia Li, Martin C. Herbordt, Ang Li
A Survey: Handling Irregularities in Neural Network Acceleration with FPGAs. HPEC (2021)
Jiawen Liu, Dong Li, Roberto Gioiosa, Jiajia Li
Athena: high-performance sparse tensor contraction sequence on heterogeneous memory. ICS (2021)
Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker
A parallel sparse tensor benchmark suite on CPUs and GPUs. PPoPP (2020)
Eric R. Hein, Srinivas Eswar, Abdurrahman Yasar, Jiajia Li, Jeffrey S. Young, Thomas M. Conte, Ümit V. Çatalyürek, Richard W. Vuduc, E. Jason Riedy, Bora Uçar
Programming Strategies for Irregular Algorithms on the Emu Chick. ACM Trans. Parallel Comput. 7 (4) (2020)
Jesun Sahariar Firoz, Ang Li, Jiajia Li, Kevin J. Barker
On the Feasibility of Using Reduced-Precision Tensor Core Operations for Graph Analytics. HPEC (2020)
Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker
A Sparse Tensor Benchmark Suite for CPUs and GPUs. IISWC (2020)
Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. IEEE Trans. Parallel Distributed Syst. 31 (1) (2020)
Ke Meng, Jiajia Li, Guangming Tan, Ninghui Sun
A pattern based algorithmic autotuner for graph processing on GPUs. PPoPP (2019)
Eric R. Hein, Srinivas Eswar, Abdurrahman Yasar, Jiajia Li, Jeffrey S. Young, Thomas M. Conte, Ümit V. Çatalyürek, Rich Vuduc, E. Jason Riedy, Bora Uçar
Programming Strategies for Irregular Algorithms on the Emu Chick. CoRR (2019)
Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Richard W. Vuduc, P. Sadayappan
Load-Balanced Sparse MTTKRP on GPUs. CoRR (2019)
Jiajia Li, Yuchen Ma, Xiaolong Wu, Ang Li, Kevin J. Barker
PASTA: a parallel sparse tensor algorithm benchmark suite. CCF Trans. High Perform. Comput. 1 (2) (2019)
Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Richard W. Vuduc, P. Sadayappan
Load-Balanced Sparse MTTKRP on GPUs. IPDPS (2019)
Jiajia Li, Bora Uçar, Ümit V. Çatalyürek, Jimeng Sun, Kevin J. Barker, Richard W. Vuduc
Efficient and effective sparse tensor reordering. ICS (2019)
Jiajia Li, Yuchen Ma, Xiaolong Wu, Ang Li, Kevin J. Barker
PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite. CoRR (2019)
Yuchen Ma, Jiajia Li, Xiaolong Wu, Chenggang Yan, Jimeng Sun, Richard W. Vuduc
Optimizing sparse tensor times matrix on GPUs. J. Parallel Distributed Comput. 129 (2019)
Jeffrey S. Young, Eric R. Hein, Srinivas Eswar, Patrick Lavin, Jiajia Li, E. Jason Riedy, Richard W. Vuduc, Tom Conte
A microbenchmark characterization of the Emu chick. Parallel Comput. 87 (2019)
Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Prashant Singh Rawat, Sriram Krishnamoorthy, P. Sadayappan
An efficient mixed-mode representation of sparse tensors. SC (2019)
Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen
Bridging the gap between deep learning and sparse matrix format selection. PPOPP (2018)
Eric R. Hein, Tom Conte, Jeffrey Young, Srinivas Eswar, Jiajia Li, Patrick Lavin, Richard W. Vuduc, E. Jason Riedy
An Initial Characterization of the Emu Chick. IPDPS Workshops (2018)
Jeffrey Young, Eric R. Hein, Srinivas Eswar, Patrick Lavin, Jiajia Li, E. Jason Riedy, Richard W. Vuduc, Tom Conte
A Microbenchmark Characterization of the Emu Chick. CoRR (2018)
Jiajia Li, Jimeng Sun, Richard W. Vuduc
HiCOO: hierarchical storage of sparse tensors. SC (2018)
Guangming Tan, Junhong Liu, Jiajia Li
Design and Implementation of Adaptive SpMV Library for Multicore and Many-Core Architecture. ACM Trans. Math. Softw. 44 (4) (2018)
Junhong Liu, Guangming Tan, Yulong Luo, Jiajia Li, Zeyao Mo, Ninghui Sun
An Autotuning Protocol to Rapidly Build Autotuners. ACM Trans. Parallel Comput. 5 (2) (2018)
Xiuxia Zhang, Guangming Tan, Shuangbai Xue, Jiajia Li, Ke-ren Zhou, Mingyu Chen
Understanding the GPU Microarchitecture to Achieve Bare-Metal Performance Tuning. PPOPP (2017)
Jiajia Li, Jee Choi, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc
Model-Driven Sparse CP Decomposition for Higher-Order Tensors. IPDPS (2017)
Jiajia Li, Yuchen Ma, Chenggang Yan, Richard W. Vuduc
Optimizing Sparse Tensor Times Matrix on Multi-core and Many-Core Architectures. IA3@SC (2016)
Jiajia Li, Casey Battaglino, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc
An input-adaptive and in-place approach to dense tensor-times-matrix multiply. SC (2015)
B. Neelima, Jiajia Li
Introducing high performance computing concepts into engineering undergraduate curriculum: a success story. EduHPC@SC (2015)
Jiajia Li, Guangming Tan, Mingyu Chen, Ninghui Sun
SMAT: an input adaptive auto-tuner for sparse matrix-vector multiplication. PLDI (2013)
Jiajia Li, Xingjian Li, Guangming Tan, Mingyu Chen, Ninghui Sun
An optimized large-scale hybrid DGEMM design for CPUs and ATI GPUs. ICS (2012)
Jiajia Li, Guangming Tan, Mingyu Chen
Automatically Tuned Dynamic Programming with an Algorithm-by-Blocks. ICPADS (2010)

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Publication Activity (10 Years)

Top Topics

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Jiajia Li