Automatically Tuned Dynamic Programming with an Algorithm-by-Blocks. - Jiajia Li 001; Guangming Tan; Mingyu Chen 001 (ICPADS, 2010)

An optimized large-scale hybrid DGEMM design for CPUs and ATI GPUs. - Jiajia Li 001; Xingjian Li 002; Guangming Tan; Mingyu Chen 001; Ninghui Sun (ICS, 2012)

SMAT: An Input Adaptive Sparse Matrix-Vector Multiplication Auto-Tuner - Jiajia Li 001; Xiuxia Zhang; Guangming Tan; Mingyu Chen 001 (CoRR, 2012)

SMAT: an input adaptive auto-tuner for sparse matrix-vector multiplication. - Jiajia Li 001; Guangming Tan; Mingyu Chen 001; Ninghui Sun (PLDI, 2013)

An input-adaptive and in-place approach to dense tensor-times-matrix multiply. - Jiajia Li 001; Casey Battaglino; Ioakeim Perros; Jimeng Sun 001; Richard W. Vuduc (SC, 2015)

Introducing high performance computing concepts into engineering undergraduate curriculum: a success story. - B. Neelima; Jiajia Li 001 (EduHPC@SC, 2015)

Optimizing Sparse Tensor Times Matrix on Multi-core and Many-Core Architectures. - Jiajia Li 001; Yuchen Ma 001; Chenggang Yan 001; Richard W. Vuduc (IA3@SC, 2016)

POSTER: Bridging the Gap Between Deep Learning and Sparse Matrix Format Selection. - Yue Zhao 011; Jiajia Li 001; Chunhua Liao; Xipeng Shen (PACT, 2017)

Model-Driven Sparse CP Decomposition for Higher-Order Tensors. - Jiajia Li 001; Jee Choi; Ioakeim Perros; Jimeng Sun 001; Richard W. Vuduc (IPDPS, 2017)

Understanding the GPU Microarchitecture to Achieve Bare-Metal Performance Tuning. - Xiuxia Zhang; Guangming Tan; Shuangbai Xue; Jiajia Li 001; Keren Zhou 001; Mingyu Chen 001 (PPoPP, 2017)

An Initial Characterization of the Emu Chick. - Eric R. Hein; Tom Conte 001; Jeffrey Young 001; Srinivas Eswar; Jiajia Li 001; Patrick Lavin; Richard W. Vuduc; E. Jason Riedy (IPDPS Workshops, 2018)

Bridging the gap between deep learning and sparse matrix format selection. - Yue Zhao 011; Jiajia Li 001; Chunhua Liao; Xipeng Shen (PPoPP, 2018)

HiCOO: hierarchical storage of sparse tensors. - Jiajia Li 001; Jimeng Sun 001; Richard W. Vuduc (SC, 2018)

Design and Implementation of Adaptive SpMV Library for Multicore and Many-Core Architecture. - Guangming Tan; Junhong Liu; Jiajia Li 001 (ACM Trans. Math. Softw., 2018)

An Autotuning Protocol to Rapidly Build Autotuners. - Junhong Liu; Guangming Tan; Yulong Luo; Jiajia Li 001; Zeyao Mo; Ninghui Sun (ACM Trans. Parallel Comput., 2018)

Scalable tensor decompositions in high performance computing environments. - Jiajia Li 001 (2018)

Efficient and effective sparse tensor reordering. - Jiajia Li 001; Bora Uçar; Ümit V. Çatalyürek; Jimeng Sun 001; Kevin J. Barker; Richard W. Vuduc (ICS, 2019)

Load-Balanced Sparse MTTKRP on GPUs. - Israt Nisa; Jiajia Li 001; Aravind Sukumaran-Rajam; Richard W. Vuduc; P. Sadayappan (IPDPS, 2019)

A pattern based algorithmic autotuner for graph processing on GPUs. - Ke Meng; Jiajia Li 001; Guangming Tan; Ninghui Sun (PPoPP, 2019)

An efficient mixed-mode representation of sparse tensors. - Israt Nisa; Jiajia Li 001; Aravind Sukumaran-Rajam; Prashant Singh Rawat; Sriram Krishnamoorthy; P. Sadayappan (SC, 2019)

PASTA: a parallel sparse tensor algorithm benchmark suite. - Jiajia Li 001; Yuchen Ma 001; Xiaolong Wu; Ang Li 006; Kevin J. Barker (CCF Trans. High Perform. Comput., 2019)

Optimizing sparse tensor times matrix on GPUs. - Yuchen Ma 001; Jiajia Li 001; Xiaolong Wu; Chenggang Yan 001; Jimeng Sun 001; Richard W. Vuduc (J. Parallel Distributed Comput., 2019)

A microbenchmark characterization of the Emu chick. - Jeffrey S. Young 001; Eric R. Hein; Srinivas Eswar; Patrick Lavin; Jiajia Li 001; E. Jason Riedy; Richard W. Vuduc; Tom Conte 001 (Parallel Comput., 2019)

On the Feasibility of Using Reduced-Precision Tensor Core Operations for Graph Analytics. - Jesun Sahariar Firoz; Ang Li 006; Jiajia Li 001; Kevin J. Barker (HPEC, 2020)

A Sparse Tensor Benchmark Suite for CPUs and GPUs. - Jiajia Li 001; Mahesh Lakshminarasimhan; Xiaolong Wu; Ang Li 006; Catherine Olschanowsky; Kevin J. Barker (IISWC, 2020)

A parallel sparse tensor benchmark suite on CPUs and GPUs. - Jiajia Li 001; Mahesh Lakshminarasimhan; Xiaolong Wu; Ang Li 006; Catherine Olschanowsky; Kevin J. Barker (PPoPP, 2020)

Programming Strategies for Irregular Algorithms on the Emu Chick. - Eric R. Hein; Srinivas Eswar; Abdurrahman Yasar; Jiajia Li 001; Jeffrey S. Young 001; Thomas M. Conte; Ümit V. Çatalyürek; Richard W. Vuduc; E. Jason Riedy; Bora Uçar (ACM Trans. Parallel Comput., 2020)

Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. - Ang Li 006; Shuaiwen Leon Song; Jieyang Chen; Jiajia Li 001; Xu Liu 001; Nathan R. Tallent; Kevin J. Barker (IEEE Trans. Parallel Distributed Syst., 2020)

Efficient Parallel Sparse Symmetric Tucker Decomposition for High-Order Tensors. - Shruti Shivakumar; Jiajia Li 001; Ramakrishnan Kannan; Srinivas Aluru (ACDA, 2021)

A Survey: Handling Irregularities in Neural Network Acceleration with FPGAs. - Tong Geng; Chunshu Wu; Cheng Tan 002; Chenhao Xie 001; Anqi Guo; Pouya Haghi; Sarah Yuan He; Jiajia Li 001; Martin C. Herbordt; Ang Li 006 (HPEC, 2021)

DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications. - Cheng Tan 002; Tong Geng; Chenhao Xie 001; Nicolas Bohm Agostini; Jiajia Li 001; Ang Li 006; Kevin J. Barker; Antonino Tumeo (ICCD, 2021)

Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures. - Chenhao Xie 001; Jieyang Chen; Jesun Firoz; Jiajia Li 001; Shuaiwen Leon Song; Kevin J. Barker; Mark Raugas; Ang Li 006 (ICPP, 2021)

Athena: high-performance sparse tensor contraction sequence on heterogeneous memory. - Jiawen Liu; Dong Li 001; Roberto Gioiosa; Jiajia Li 001 (ICS, 2021)

A High Performance Sparse Tensor Algebra Compiler in MLIR. - Ruiqin Tian; Luanzheng Guo; Jiajia Li 001; Bin Ren; Gokcen Kestor (LLVM-HPC@SC, 2021)

Sparta: high-performance, element-wise sparse tensor contraction on heterogeneous memory. - Jiawen Liu; Jie Ren 015; Roberto Gioiosa; Dong Li 001; Jiajia Li 001 (PPoPP, 2021)

A High-Performance Sparse Tensor Algebra Compiler in Multi-Level IR. - Ruiqin Tian; Luanzheng Guo; Jiajia Li 001; Bin Ren; Gokcen Kestor (CoRR, 2021)

BALA-CPD: BALanced and Asynchronous Distributed Tensor Decomposition. - Zheng Miao; Jiajia Li 001; Jon C. Calhoun; Rong Ge 002 (CLUSTER, 2022)

DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs. - Cheng Tan 002; Nicolas Bohm Agostini; Tong Geng; Chenhao Xie 001; Jiajia Li 001; Ang Li 006; Kevin J. Barker; Antonino Tumeo (HPCA, 2022)

LB-HM: load balance-aware data placement on heterogeneous memory for task-parallel HPC applications. - Zhen Xie; Jie Liu; Sam Ma 001; Jiajia Li 001; Dong Li 001 (PPoPP, 2022)

AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices. - Zhen Du; Jiajia Li 001; Yinshan Wang; Xueqi Li 001; Guangming Tan; Ninghui Sun (SC, 2022)

MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems. - Jieyang Chen; Chenhao Xie 001; Jesun Sahariar Firoz; Jiajia Li 001; Shuaiwen Leon Song; Kevin J. Barker; Mark Raugas; Ang Li 006 (CoRR, 2022)

Fast Parallel Tensor Times Same Vector for Hypergraphs. - Shruti Shivakumar; Ilya Amburg; Sinan G. Aksoy; Jiajia Li 001; Stephen J. Young; Srinivas Aluru (HiPC, 2023)

Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness. - Zhen Xie; Jie Liu; Jiajia Li 001; Dong Li 001 (PPoPP, 2023)

Performance Implication of Tensor Irregularity and Optimization for Distributed Tensor Decomposition. - Zheng Miao; Jon C. Calhoun; Rong Ge 002; Jiajia Li 001 (ACM Trans. Parallel Comput., 2023)

Sparse Symmetric Format for Tucker Decomposition. - Shruti Shivakumar; Jiajia Li 001; Ramakrishnan Kannan; Srinivas Aluru (IEEE Trans. Parallel Distributed Syst., 2023)

FASTEN: Fast GPU-accelerated Segmented Matrix Multiplication for Heterogenous Graph Neural Networks. - Keren Zhou 001; Karthik Ganapathi Subramanian; Po-Hsun Lin; Matthias Fey; Binqian Yin; Jiajia Li 001 (ICS, 2024)

POSTER: Optimizing Sparse Tensor Contraction with Revisiting Hash Table Design. - Guofeng Feng; Weile Jia; Ninghui Sun; Guangming Tan; Jiajia Li 001 (PPoPP, 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 001; Xu Liu 001; Keren Zhou 001 (CoRR, 2024)

SymProp: Scaling Sparse Symmetric Tucker Decomposition via Symmetry Propagation. - Zecheng Li 001; Shruti Shivakumar; Jiajia Li 001; Ramakrishnan Kannan (IPDPS, 2025)

gHyPart: GPU-friendly End-to-End Hypergraph Partitioner. - Zhenlin Wu; Haosong Zhao; Hongyuan Liu 002; Wujie Wen; Jiajia Li 001 (ACM Trans. Archit. Code Optim., 2025)

SRSparse: Generating Codes for High-Performance Sparse Matrix-Vector Semiring Computations. - Zhen Du; Ying Liu 055; Ninghui Sun; Huimin Cui; Xiaobing Feng 002; Jiajia Li 001 (ACM Trans. Archit. Code Optim., 2025)