Address:
Engineering Building II, 890 Oval Drive
Raleigh, NC
US
27695
About me
Jiajia Li is an Assistant Professor in Department of Computer Science at North Carolina State University (NCSU), Raleigh, NC.
Her research emphasizes on high performance computing with a focus on the interaction among applications, numerical methods, data structures, algorithms, automatic performance tuning, and computer architectures.
She is eager to pursue high performance sparse (multi-)linear algebra, solvers, and tensor decompositions for large-scale data analytics and domain applications on diverse computer architectures.
Please feel free to drop me an email @ jiajia.li@ncsu.edu if you have questions about CS PhD program, research collaboration, research/career/international life suggestions, etc.
For more information, please click here for the Curriculum Vitae
.
News
May 13-17: My student will present a recent work at SIAM LA'24, Paris, France
Apr 27-May 1: Will serve as the Registration Chair and organize the XTensor workshop at ASPLOS'24, San Diego, CA
March 2-6: Our work was presented as a poster at PPoPP'24, Edinburgh, UK
The 39th IEEE International Conference on Computer Design (ICCD’21) Best Paper Award
Rising Stars in Computational and Data Sciences, 2019 [Link]
Principles and Practice of Parallel Programming (PPoPP’19) Best Paper Award Finalist
ACM/IEEE International Conference for High-Performance Computing, Networking, Storage, and Analysis (SC'18) Best Student Paper Award [PNNL Press][GaTech Press]
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC).
BALA-CPD: BALanced and Asynchronous Distributed Tensor Decomposition
Zheng Miao, Jiajia Li, Jon Calhoun, Rong Ge.
The 24th IEEE Cluster (CLUSTER).
DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications CGRAs
Cheng Tan, Nicolas Bohm Agostini, Tong Geng, Chenhao Xie, Jiajia Li, Ang Li, Kevin Barker, Antonino Tumeo.
28th IEEE International Symposium on High-Performance Computer Architecture (HPCA).
A High Performance Sparse Tensor Algebra Compiler in MLIR
Ruiqin Tian, Luanzheng Guo, Jiajia Li, Bin Ren, Gokcen Kestor.
The International Conference for High
Performance Computing, Networking, Storage, and Analysis (SC), the Seventh Annual Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC)
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 Herbordt, Ang Li.
IEEE High Performance Extreme Computing Conference (HPEC).
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 Barker, Antonino Tumeo.
The 39th IEEE International Conference on Computer Design (ICCD).
Best Paper Award
Athena: High-Performance Sparse Tensor Contraction Sequence on Heterogeneous Memory
Jiawen Liu, Dong Li, Roberto Gioiosa, Jiajia Li
International Conference on Supercomputing (ICS). [paper][bib]
Efficient Parallel Sparse Symmetric Tucker Decomposition for High-Order Tensors
ACM/IEEE International Conference for High-Performance Computing, Networking, Storage, and Analysis (SC).
High-Performance Sparse Tensor Algebra Compiler.
Ruiqin Tian, Jiajia Li, Bin Ren, Gokcen Kestor
Women in High Performance Computing Workshop (WHPC), in conjunction with ACM/IEEE International Conference for High-Performance Computing, Networking, Storage, and Analysis (SC).
Generic, Sparse Tensor Core for Neural Networks.
Xiaolong Wu, Yang Yi, Dave (Jing) Tian, Jiajia Li
1st International Workshop on Machine Learning for Software Hardware Co-Design (MLSH), in conjunction with the 29th International Conference on Parallel Architectures and Compilation Techniques (PACT).
Programming Strategies for Irregular Algorithms on the Emu Chick.
Eric Hein, Srinivas Eswar, Abdurrahman Yasar, Jiajia Li, Jeffrey S. Young, Tom Conte, Umit V. Catalyurek, Rich Vuduc, Jason Riedy, Bora Ucar
Transactions on Parallel Computing.
On the Feasibility of Using Reduced- PrecisionTensor Core Operations for Graph Analytics
Jesun Sahariar Firoz, Ang Li, Jiajia Li, Kevin Barker
The IEEE High Performance Extreme Computing Conference (HPEC).
A Parallel Sparse Tensor Benchmark Suite on CPUs and GPUs
Jiajia Li, Mahesh Lakshminarasimhan, Xiaolong Wu, Ang Li, Catherine Olschanowsky, Kevin Barker
22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP). [paper][bib]
ParTI!: a Parallel Tensor Infrastructure for Data Analysis
Jiajia Li, Yuchen Ma, Chenggang Yan, Jimeng Sun, Richard Vuduc
Tensor-Learn Workshop, co-located with NIPS’16. [poster][code]
Optimizing Sparse Tensor Times Matrix on multi-core and many-core architectures
Jiajia Li, Yuchen Ma, Chenggang Yan, Richard Vuduc
The sixth Workshop on Irregular Applications:
Architectures and Algorithms (IA^3), co-located with SC’16. [paper][code][bib]
Model-driven Sparse CP Decomposition for High-Order Tensors
Jiajia Li, Ioakeim Perros, Jimeng Sun, Richard Vuduc
The fifth international Women in HPC workshop, co-located with SC’16. [poster]
Tensors in Data Analysis: Methods, Applications, and Software
Casey Battaglino, Jiajia Li, Ioakeim Perros, Jimeng Sun, Richard Vuduc
(To be submitted).
An Input-Adaptive and In-Place Approach to Dense Tensor-Times-Matrix Multiply
Jiajia Li, Casey Battaglino, Ioakeim Perros, Jimeng Sun, Richard Vuduc
The International Conference for High Performance Computing, Networking, Storage and Analysis (SC). [pdf][slides][code][bib]
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 (EduHPC), co-located with the International Conference for High Performance Computing, Networking, Storage and Analysis (SC). [pdf][bib]
SMAT: A Cross-Platform Input Adaptive Auto-Tuner for Sparse Matrix-Vector Multiplication
Jiajia Li, Zhonghai Zhang, Guangming Tan, David Bader
Technical Report.
The Study of Choosing the Best Storage Format of Sparse Matrix Vector Multiplication
Automatically Tuned Dynamic Programming with an Algorithm-by-Blocks
Jiajia Li, Guangming Tan, Mingyu Chen
16th International Conference on Parallel and Distributed Systems (ICPADS). [pdf][bib]
Activities
Organizing Activities
Program Co-Chair of the 26th International Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS'22).
Finance Chair of International Conference on Supercomputing (ICS'21).
Artifact Evaluation Chair of the 2021 edition of the International Conference on Languages Compilers, Tools and Theory of Embedded Systems (LCTES'21).
Publicity Chair of International Conference on Parallel Architectures and Compilation Techniques (PACT'20).
Finance and Session Chair of Principles and Practice of Parallel Programming (PPoPP'20).
Proceeding Chair of Emerging Parallel and Distributed Runtime Systems and Middleware Workshop (IPDRM'19), Held in conjunction with IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC'19).
Web Chair of International Conference on Parallel Architectures and Compilation Techniques (PACT'19).
Co-Chair of the 25th International European Conference on Parallel and Distributed Computing (Euro-Par'19).
Co-Organizer of The First International Workshop on the Intersection of High Performance Computing and Machine Learning (HPCaML'19), Held in conjunction with International Symposium on Code Generation and Optimization (CGO'19).
Co-Organizer of SIAM Conference on Computational Science and Engineering (SIAM CSE'19) Minisymposium "High Performance Sparse Matrix, Tensor, and Graph Kernels".
Peer Review Activities
2022: PC member of SC, IPDPS, ISC, CLUSTER, PPoPP, SIAM PP.
2021: PC member of SC, LCTES, ICPP, CLUSTER, ICS, ICDCS, ISC.
PC member of ACM/IEEE International Conference for High-Performance Computing, Networking, Storage, and Analysis (SC'20).
Research Poster Committee member of High Performance Computing, Networking, Storage, Data Analytics, and AI/Machine Learning (ISC'20).
PC member of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP'20).
PC member of the International Conference on Parallel Processing (ICPP'20).
Travel Grant PC member of the ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC'19).
PC member of the Workshop on Tensor Methods for Emerging Data Science Challenges (TMEDSC), held in conjunction with the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19).
PC member of the 25th International European Conference on Parallel and Distributed Computing (Euro-Par'19).
PC member of the First International Workshop on the Intersection of High Performance Computing and Machine Learning (HPCaML'19), held in conjunction with International Symposium on Code Generation and Optimization (CGO'19).
PC member of the International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP'17,18,19).
External PC member of The 32nd ACM International Conference on Supercomputing (ICS'18).
PC member of Experiments and Practice in Parallel and Distributed Computing Track of IEEE International Parallel & Distributed Processing Symposium (IPDPS'18).
PC member of Student Research Competition (SRC) of the 23rd ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'18).
PC member of Parallel Algorithm Track of National Annual Conference on High Performance Computing (HPC China)”.
Reviewer of
The 32nd ACM International Conference on Supercomputing (ICS'18),
The 47th International Conference on Parallel Processing (ICPP'18,19),
the 21st IEEE International Conference on Parallel and Distributed Systems (ICPADS'15),
the Transactions on Parallel and Distributed Systems(TPDS),
the Frontiers of Computer Science,
IEEE Transactions on Neural Networks and Learning Systems(TNNLS),
Algorithmica Journal,
Journal of Parallel and Distributed Computing (JPDC),
Parallel Computing Journal (ParCo),
Transactions on Knowledge and Data Engineering (TKDE),
Journal of Low Power Electronics and Applications,
Journal of Visual Communication and Image Representation,
IEEE Access,
International Journal of High Performance Computing Applications,
CCF Transactions on High Performance Computing (THPC)
.