Jiajia Li

According to our database, Jiajia Li authored at least 48 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads.

Qidong Zhao, Hao Wu, Yuming Hao, Zilingfeng Ye, Jiajia Li, Xu Liu, Keren Zhou

CoRR, 2024

POSTER: Optimizing Sparse Tensor Contraction with Revisiting Hash Table Design.

Guofeng Feng, Weile Jia, Ninghui Sun, Guangming Tan, Jiajia Li

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

FASTEN: Fast GPU-accelerated Segmented Matrix Multiplication for Heterogenous Graph Neural Networks.

Keren Zhou, Karthik Ganapathi Subramanian, Po-Hsun Lin, Matthias Fey, Binqian Yin, Jiajia Li

Proceedings of the 38th ACM International Conference on Supercomputing, 2024

2023

Sparse Symmetric Format for Tucker Decomposition.

Shruti Shivakumar, Jiajia Li, Ramakrishnan Kannan, Srinivas Aluru

IEEE Trans. Parallel Distributed Syst., June, 2023

Performance Implication of Tensor Irregularity and Optimization for Distributed Tensor Decomposition.

Zheng Miao, Jon C. Calhoun, Rong Ge, Jiajia Li

ACM Trans. Parallel Comput., June, 2023

Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness.

Zhen Xie, Jie Liu, Jiajia Li, Dong Li

Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

Fast Parallel Tensor Times Same Vector for Hypergraphs.

Shruti Shivakumar, Ilya Amburg, Sinan G. Aksoy, Jiajia Li, Stephen J. Young, Srinivas Aluru

Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

2022

MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems.

Jieyang Chen, Chenhao Xie, Jesun Sahariar Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li

CoRR, 2022

AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices.

Zhen Du, Jiajia Li, Yinshan Wang, Xueqi Li, Guangming Tan, Ninghui Sun

Proceedings of the SC22: International Conference for High Performance Computing, 2022

LB-HM: load balance-aware data placement on heterogeneous memory for task-parallel HPC applications.

Zhen Xie, Jie Liu, Sam Ma, Jiajia Li, Dong Li

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs.

Cheng Tan, Nicolas Bohm Agostini, Tong Geng, Chenhao Xie, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

BALA-CPD: BALanced and Asynchronous Distributed Tensor Decomposition.

Zheng Miao, Jiajia Li, Jon C. Calhoun, Rong Ge

Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021

A High-Performance Sparse Tensor Algebra Compiler in Multi-Level IR.

Ruiqin Tian, Luanzheng Guo, Jiajia Li, Bin Ren, Gokcen Kestor

CoRR, 2021

Sparta: high-performance, element-wise sparse tensor contraction on heterogeneous memory.

Jiawen Liu, Jie Ren, Roberto Gioiosa, Dong Li, Jiajia Li

Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

A High Performance Sparse Tensor Algebra Compiler in MLIR.

Ruiqin Tian, Luanzheng Guo, Jiajia Li, Bin Ren, Gokcen Kestor

Proceedings of the 7th IEEE/ACM Workshop on the LLVM Compiler Infrastructure in HPC, 2021

Athena: high-performance sparse tensor contraction sequence on heterogeneous memory.

Jiawen Liu, Dong Li, Roberto Gioiosa, Jiajia Li

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures.

Chenhao Xie, Jieyang Chen, Jesun Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications.

Cheng Tan, Tong Geng, Chenhao Xie, Nicolas Bohm Agostini, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo

Proceedings of the 39th IEEE International Conference on Computer Design, 2021

A Survey: Handling Irregularities in Neural Network Acceleration with FPGAs.

Tong Geng, Chunshu Wu, Cheng Tan, Chenhao Xie, Anqi Guo, Pouya Haghi, Sarah Yuan He, Jiajia Li, Martin C. Herbordt, Ang Li

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Efficient Parallel Sparse Symmetric Tucker Decomposition for High-Order Tensors.

Shruti Shivakumar, Jiajia Li, Ramakrishnan Kannan, Srinivas Aluru

Proceedings of the 2021 SIAM Conference on Applied and Computational Discrete Algorithms, 2021

2020

Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect.

Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker

IEEE Trans. Parallel Distributed Syst., 2020

Programming Strategies for Irregular Algorithms on the Emu Chick.

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

ACM Trans. Parallel Comput., 2020

A parallel sparse tensor benchmark suite on CPUs and GPUs.

Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker

Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

A Sparse Tensor Benchmark Suite for CPUs and GPUs.

Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker

Proceedings of the IEEE International Symposium on Workload Characterization, 2020

On the Feasibility of Using Reduced-Precision Tensor Core Operations for Graph Analytics.

Jesun Sahariar Firoz, Ang Li, Jiajia Li, Kevin J. Barker

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019

A microbenchmark characterization of the Emu chick.

Jeffrey S. Young, Eric R. Hein, Srinivas Eswar, Patrick Lavin, Jiajia Li, E. Jason Riedy, Richard W. Vuduc, Tom Conte

Parallel Comput., 2019

Optimizing sparse tensor times matrix on GPUs.

Yuchen Ma, Jiajia Li, Xiaolong Wu, Chenggang Yan, Jimeng Sun, Richard W. Vuduc

J. Parallel Distributed Comput., 2019

PASTA: a parallel sparse tensor algorithm benchmark suite.

Jiajia Li, Yuchen Ma, Xiaolong Wu, Ang Li, Kevin J. Barker

CCF Trans. High Perform. Comput., 2019

An efficient mixed-mode representation of sparse tensors.

Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Prashant Singh Rawat, Sriram Krishnamoorthy, P. Sadayappan

Proceedings of the International Conference for High Performance Computing, 2019

A pattern based algorithmic autotuner for graph processing on GPUs.

Ke Meng, Jiajia Li, Guangming Tan, Ninghui Sun

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

Load-Balanced Sparse MTTKRP on GPUs.

Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Richard W. Vuduc, P. Sadayappan

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Efficient and effective sparse tensor reordering.

Jiajia Li, Bora Uçar, Ümit V. Çatalyürek, Jimeng Sun, Kevin J. Barker, Richard W. Vuduc

Proceedings of the ACM International Conference on Supercomputing, 2019

2018

Scalable tensor decompositions in high performance computing environments.

Jiajia Li

PhD thesis, 2018

An Autotuning Protocol to Rapidly Build Autotuners.

Junhong Liu, Guangming Tan, Yulong Luo, Jiajia Li, Zeyao Mo, Ninghui Sun

ACM Trans. Parallel Comput., 2018

Design and Implementation of Adaptive SpMV Library for Multicore and Many-Core Architecture.

Guangming Tan, Junhong Liu, Jiajia Li

ACM Trans. Math. Softw., 2018

HiCOO: hierarchical storage of sparse tensors.

Jiajia Li, Jimeng Sun, Richard W. Vuduc

Proceedings of the International Conference for High Performance Computing, 2018

Bridging the gap between deep learning and sparse matrix format selection.

Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen

Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018

An Initial Characterization of the Emu Chick.

Eric R. Hein, Tom Conte, Jeffrey Young, Srinivas Eswar, Jiajia Li, Patrick Lavin, Richard W. Vuduc, E. Jason Riedy

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2017

Understanding the GPU Microarchitecture to Achieve Bare-Metal Performance Tuning.

Xiuxia Zhang, Guangming Tan, Shuangbai Xue, Jiajia Li, Keren Zhou, Mingyu Chen

Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017

Model-Driven Sparse CP Decomposition for Higher-Order Tensors.

Jiajia Li, Jee Choi, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

POSTER: Bridging the Gap Between Deep Learning and Sparse Matrix Format Selection.

Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen

Proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques, 2017

2016

Optimizing Sparse Tensor Times Matrix on Multi-core and Many-Core Architectures.

Jiajia Li, Yuchen Ma, Chenggang Yan, Richard W. Vuduc

Proceedings of the 6th Workshop on Irregular Applications: Architecture and Algorithms, 2016

2015

Introducing high performance computing concepts into engineering undergraduate curriculum: a success story.

B. Neelima, Jiajia Li

Proceedings of the Workshop on Education for High-Performance Computing, 2015

An input-adaptive and in-place approach to dense tensor-times-matrix multiply.

Jiajia Li, Casey Battaglino, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc

Proceedings of the International Conference for High Performance Computing, 2015

2013

SMAT: an input adaptive auto-tuner for sparse matrix-vector multiplication.

Jiajia Li, Guangming Tan, Mingyu Chen, Ninghui Sun

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2013

2012

SMAT: An Input Adaptive Sparse Matrix-Vector Multiplication Auto-Tuner

Jiajia Li, Xiuxia Zhang, Guangming Tan, Mingyu Chen

CoRR, 2012

An optimized large-scale hybrid DGEMM design for CPUs and ATI GPUs.

Jiajia Li, Xingjian Li, Guangming Tan, Mingyu Chen, Ninghui Sun

Proceedings of the International Conference on Supercomputing, 2012

2010

Automatically Tuned Dynamic Programming with an Algorithm-by-Blocks.

Jiajia Li, Guangming Tan, Mingyu Chen

Proceedings of the 16th IEEE International Conference on Parallel and Distributed Systems, 2010