High Performance Coordinate Descent Matrix Factorization for Recommender Systems. - Xi Yang 020; Jianbin Fang; Jing Chen 038; Chengkun Wu; Tao Tang 001; Kai Lu 001 (Conf. Computing Frontiers, 2017)

Efficient and Portable ALS Matrix Factorization for Recommender Systems. - Jing Chen 038; Jianbin Fang; Weifeng Liu 002; Tao Tang 001; Xuhao Chen 001; Canqun Yang (IPDPS Workshops, 2017)

多核/众核平台上推荐算法的实现与性能评估 (Implementation and Performance Evaluation of Recommender Algorithms Based on Multi-/Many-core Platforms). - Jing Chen 038; Jianbin Fang; Tao Tang 001; Canqun Yang (计算机科学, 2017)

An Adaptive Performance-oriented Scheduler for Static and Dynamic Heterogeneity. - Jing Chen 038; Pirah Noor Soomro; Mustafa Abdul Jabbar; Miquel Pericàs (CoRR, 2019)

LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. - Behzad Salami 001; Konstantinos Parasyris; Adrián Cristal; Osman S. Unsal; Xavier Martorell; Paul Carpenter; Raúl de la Cruz; Leonardo Bautista-Gomez; Daniel A. Jiménez; Carlos Álvarez 001; S. Nabavi; Sergi Madonar; et al. (CoRR, 2019)

LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. - Behzad Salami 001; Konstantinos Parasyris; Adrián Cristal; Osman S. Unsal; Xavier Martorell; Paul Carpenter; Raúl de la Cruz; Leonardo Bautista-Gomez; Daniel A. Jiménez; Carlos Álvarez 001; Seyed Saber Nabavi Larimi; Sergi Madonar; et al. (DATE, 2020)

Scheduling Task-parallel Applications in Dynamically Asymmetric Environments. - Jing Chen 038; Pirah Noor Soomro; Mustafa Abduljabbar; Madhavan Manivannan; Miquel Pericàs (ICPP Workshops, 2020)

clMF: A fine-grained and portable alternating least squares algorithm for parallel matrix factorization. - Jing Chen 038; Jianbin Fang; Weifeng Liu 002; Tao Tang 001; Canqun Yang (Future Gener. Comput. Syst., 2020)

BALS: Blocked Alternating Least Squares for Parallel Sparse Matrix Factorization on GPUs. - Jing Chen 038; Jianbin Fang; Weifeng Liu 002; Canqun Yang (IEEE Trans. Parallel Distributed Syst., 2021)

STEER: Asymmetry-aware Energy Efficient Task Scheduler for Cluster-based Multicore Architectures. - Jing Chen 038; Madhavan Manivannan; Bhavishya Goel; Mustafa Abduljabbar; Miquel Pericàs (SBAC-PAD, 2022)

ERASE: Energy Efficient Task Mapping and Resource Management for Work Stealing Runtimes. - Jing Chen 038; Madhavan Manivannan; Mustafa Abduljabbar; Miquel Pericàs (ACM Trans. Archit. Code Optim., 2022)

JOSS: Joint Exploration of CPU-Memory DVFS and Task Scheduling for Energy Efficiency. - Jing Chen 038; Madhavan Manivannan; Bhavishya Goel; Miquel Pericàs (ICPP, 2023)

Co-Design of Convolutional Algorithms and Long Vector RISC-V Processors for Efficient CNN Model Serving. - Sonia Rani Gupta; Nikela Papadopoulou; Jing Chen 038; Miquel Pericàs (ICPP, 2024)

SWEEP: Adaptive Task Scheduling for Exploring Energy Performance Trade-offs. - Jing Chen 038; Madhavan Manivannan; Bhavishya Goel; Miquel Pericàs (IPDPS, 2024)

CNN and RVV Co-design for Efficient Model Serving. - Sonia Rani Gupta; Nikela Papadopoulou; Jing Chen 038; Miquel Pericàs (DEBS, 2025)