Jiajia Li

63 papers A* 2A 12B 12C 2Misc 1Journal 24Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads.
ASPLOS (3)
Qidong Zhao, Hao Wu, Yueming Hao, Zilingfeng Ye, Jiajia Li, Xu Liu, Keren Zhou
2025 A conf
RedSan: A Redundant Memory Instruction Sanitizer for GPU Programs.
SC
Yanbo Zhao, Yueming Hao, Zecheng Li, Shuyin Jiao, Xu Liu, Jiajia Li
2025 J jnl
SRSparse: Generating Codes for High-Performance Sparse Matrix-Vector Semiring Computations.
ACM Trans. Archit. Code Optim.
Zhen Du, Ying Liu, Ninghui Sun, Huimin Cui, Xiaobing Feng, Jiajia Li
2025 B conf
Scalable and Efficient Tensor Message-Passing Hypergraph Neural Networks.
IEEE Big Data
Syed Ahmed Taimoor, Shruti Shivakumar, Xiaorui Liu, Ramakrishnan Kannan, Jiajia Li
2025 A conf
SymProp: Scaling Sparse Symmetric Tucker Decomposition via Symmetry Propagation.
IPDPS
Zecheng Li, Shruti Shivakumar, Jiajia Li, Ramakrishnan Kannan
2025 J jnl
gHyPart: GPU-friendly End-to-End Hypergraph Partitioner.
ACM Trans. Archit. Code Optim.
Zhenlin Wu, Haosong Zhao, Hongyuan Liu, Wujie Wen, Jiajia Li
2024 J jnl
DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads.
CoRR
Qidong Zhao, Hao Wu, Yuming Hao, Zilingfeng Ye, Jiajia Li, Xu Liu, Keren Zhou
2024 A conf
FASTEN: Fast GPU-accelerated Segmented Matrix Multiplication for Heterogenous Graph Neural Networks.
ICS
Keren Zhou, Karthik Ganapathi Subramanian, Po-Hsun Lin, Matthias Fey, Binqian Yin, Jiajia Li
2024 B conf
POSTER: Optimizing Sparse Tensor Contraction with Revisiting Hash Table Design.
PPoPP
Guofeng Feng, Weile Jia, Ninghui Sun, Guangming Tan, Jiajia Li
2023 Misc conf
Fast Parallel Tensor Times Same Vector for Hypergraphs.
HiPC
Shruti Shivakumar, Ilya Amburg, Sinan G. Aksoy, Jiajia Li, Stephen J. Young, Srinivas Aluru
2023 J jnl
Fast Parallel Tensor Times Same Vector for Hypergraphs.
CoRR
Shruti Shivakumar, Ilya Amburg, Sinan G. Aksoy, Jiajia Li, Stephen J. Young, Srinivas Aluru
2023 B conf
Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness.
PPoPP
Zhen Xie, Jie Liu, Jiajia Li, Dong Li
2023 J jnl
Performance Implication of Tensor Irregularity and Optimization for Distributed Tensor Decomposition.
ACM Trans. Parallel Comput.
Zheng Miao, Jon C. Calhoun, Rong Ge, Jiajia Li
2023 J jnl
Sparse Symmetric Format for Tucker Decomposition.
IEEE Trans. Parallel Distributed Syst.
Shruti Shivakumar, Jiajia Li, Ramakrishnan Kannan, Srinivas Aluru
2022 A conf
AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices.
SC
Zhen Du, Jiajia Li, Yinshan Wang, Xueqi Li, Guangming Tan, Ninghui Sun
2022 J jnl
AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices.
CoRR
Zhen Du, Jiajia Li, Yinshan Wang, Xueqi Li, Guangming Tan, Ninghui Sun
2022 C conf
BALA-CPD: BALanced and Asynchronous Distributed Tensor Decomposition.
CLUSTER
Zheng Miao, Jiajia Li, Jon C. Calhoun, Rong Ge
2022 A* conf
DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs.
HPCA
Cheng Tan, Nicolas Bohm Agostini, Tong Geng, Chenhao Xie, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
2022 B conf
LB-HM: load balance-aware data placement on heterogeneous memory for task-parallel HPC applications.
PPoPP
Zhen Xie, Jie Liu, Sam Ma, Jiajia Li, Dong Li
2022 J jnl
MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems.
CoRR
Jieyang Chen, Chenhao Xie, Jesun Sahariar Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
2021 — conf
A High Performance Sparse Tensor Algebra Compiler in MLIR.
LLVM-HPC@SC
Ruiqin Tian, Luanzheng Guo, Jiajia Li, Bin Ren, Gokcen Kestor
2021 J jnl
A High-Performance Sparse Tensor Algebra Compiler in Multi-Level IR.
CoRR
Ruiqin Tian, Luanzheng Guo, Jiajia Li, Bin Ren, Gokcen Kestor
2021 — conf
A Survey: Handling Irregularities in Neural Network Acceleration with FPGAs.
HPEC
Tong Geng, Chunshu Wu, Cheng Tan, Chenhao Xie, Anqi Guo, Pouya Haghi, Sarah Yuan He, Jiajia Li, Martin C. Herbordt, Ang Li
2021 A conf
Athena: high-performance sparse tensor contraction sequence on heterogeneous memory.
ICS
Jiawen Liu, Dong Li, Roberto Gioiosa, Jiajia Li
2021 C conf
DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications.
ICCD
Cheng Tan, Tong Geng, Chenhao Xie, Nicolas Bohm Agostini, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
2021 — conf
Efficient Parallel Sparse Symmetric Tucker Decomposition for High-Order Tensors.
ACDA
Shruti Shivakumar, Jiajia Li, Ramakrishnan Kannan, Srinivas Aluru
2021 B conf
Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures.
ICPP
Chenhao Xie, Jieyang Chen, Jesun Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
2021 B conf
Sparta: high-performance, element-wise sparse tensor contraction on heterogeneous memory.
PPoPP
Jiawen Liu, Jie Ren, Roberto Gioiosa, Dong Li, Jiajia Li
2020 J jnl
A Parallel Sparse Tensor Benchmark Suite on CPUs and GPUs.
CoRR
Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker
2020 — conf
A Sparse Tensor Benchmark Suite for CPUs and GPUs.
IISWC
Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker
2020 B conf
A parallel sparse tensor benchmark suite on CPUs and GPUs.
PPoPP
Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin J. Barker
2020 J jnl
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect.
IEEE Trans. Parallel Distributed Syst.
Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker
2020 J jnl
Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures.
CoRR
Chenhao Xie, Jieyang Chen, Jesun Sahariar Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin J. Barker, Mark Raugas, Ang Li
2020 — conf
On the Feasibility of Using Reduced-Precision Tensor Core Operations for Graph Analytics.
HPEC
Jesun Sahariar Firoz, Ang Li, Jiajia Li, Kevin J. Barker
2020 J jnl
Programming Strategies for Irregular Algorithms on the Emu Chick.
ACM Trans. Parallel Comput.
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
2019 J jnl
A microbenchmark characterization of the Emu chick.
Parallel Comput.
Jeffrey S. Young, Eric R. Hein, Srinivas Eswar, Patrick Lavin, Jiajia Li, E. Jason Riedy, Richard W. Vuduc, Tom Conte
2019 B conf
A pattern based algorithmic autotuner for graph processing on GPUs.
PPoPP
Ke Meng, Jiajia Li, Guangming Tan, Ninghui Sun
2019 A conf
An efficient mixed-mode representation of sparse tensors.
SC
Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Prashant Singh Rawat, Sriram Krishnamoorthy, P. Sadayappan
2019 A conf
Efficient and effective sparse tensor reordering.
ICS
Jiajia Li, Bora Uçar, Ümit V. Çatalyürek, Jimeng Sun, Kevin J. Barker, Richard W. Vuduc
2019 J jnl
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect.
CoRR
Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker
2019 A conf
Load-Balanced Sparse MTTKRP on GPUs.
IPDPS
Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Richard W. Vuduc, P. Sadayappan
2019 J jnl
Load-Balanced Sparse MTTKRP on GPUs.
CoRR
Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam, Richard W. Vuduc, P. Sadayappan
2019 J jnl
Optimizing sparse tensor times matrix on GPUs.
J. Parallel Distributed Comput.
Yuchen Ma, Jiajia Li, Xiaolong Wu, Chenggang Yan, Jimeng Sun, Richard W. Vuduc
2019 J jnl
PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite.
CoRR
Jiajia Li, Yuchen Ma, Xiaolong Wu, Ang Li, Kevin J. Barker
2019 J jnl
PASTA: a parallel sparse tensor algorithm benchmark suite.
CCF Trans. High Perform. Comput.
Jiajia Li, Yuchen Ma, Xiaolong Wu, Ang Li, Kevin J. Barker
2019 J jnl
Programming Strategies for Irregular Algorithms on the Emu Chick.
CoRR
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
2018 J jnl
A Microbenchmark Characterization of the Emu Chick.
CoRR
Jeffrey Young, Eric R. Hein, Srinivas Eswar, Patrick Lavin, Jiajia Li, E. Jason Riedy, Richard W. Vuduc, Tom Conte
2018 J jnl
An Autotuning Protocol to Rapidly Build Autotuners.
ACM Trans. Parallel Comput.
Junhong Liu, Guangming Tan, Yulong Luo, Jiajia Li, Zeyao Mo, Ninghui Sun
2018 — conf
An Initial Characterization of the Emu Chick.
IPDPS Workshops
Eric R. Hein, Tom Conte, Jeffrey Young, Srinivas Eswar, Jiajia Li, Patrick Lavin, Richard W. Vuduc, E. Jason Riedy
2018 B conf
Bridging the gap between deep learning and sparse matrix format selection.
PPoPP
Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen
2018 J jnl
Design and Implementation of Adaptive SpMV Library for Multicore and Many-Core Architecture.
ACM Trans. Math. Softw.
Guangming Tan, Junhong Liu, Jiajia Li
2018 A conf
HiCOO: hierarchical storage of sparse tensors.
SC
Jiajia Li, Jimeng Sun, Richard W. Vuduc
2018 — —
Scalable tensor decompositions in high performance computing environments.
Jiajia Li
2017 A conf
Model-Driven Sparse CP Decomposition for Higher-Order Tensors.
IPDPS
Jiajia Li, Jee Choi, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc
2017 B conf
POSTER: Bridging the Gap Between Deep Learning and Sparse Matrix Format Selection.
PACT
Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen
2017 B conf
Understanding the GPU Microarchitecture to Achieve Bare-Metal Performance Tuning.
PPoPP
Xiuxia Zhang, Guangming Tan, Shuangbai Xue, Jiajia Li, Keren Zhou, Mingyu Chen
2016 — conf
Optimizing Sparse Tensor Times Matrix on Multi-core and Many-Core Architectures.
IA3@SC
Jiajia Li, Yuchen Ma, Chenggang Yan, Richard W. Vuduc
2015 A conf
An input-adaptive and in-place approach to dense tensor-times-matrix multiply.
SC
Jiajia Li, Casey Battaglino, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc
2015 — conf
Introducing high performance computing concepts into engineering undergraduate curriculum: a success story.
EduHPC@SC
B. Neelima, Jiajia Li
2013 A* conf
SMAT: an input adaptive auto-tuner for sparse matrix-vector multiplication.
PLDI
Jiajia Li, Guangming Tan, Mingyu Chen, Ninghui Sun
2012 A conf
An optimized large-scale hybrid DGEMM design for CPUs and ATI GPUs.
ICS
Jiajia Li, Xingjian Li, Guangming Tan, Mingyu Chen, Ninghui Sun
2012 J jnl
SMAT: An Input Adaptive Sparse Matrix-Vector Multiplication Auto-Tuner
CoRR
Jiajia Li, Xiuxia Zhang, Guangming Tan, Mingyu Chen
2010 B conf
Automatically Tuned Dynamic Programming with an Algorithm-by-Blocks.
ICPADS
Jiajia Li, Guangming Tan, Mingyu Chen