Jing Chen

According to our database, Jing Chen authored at least 15 papers between 2017 and 2025.

Collaborative distances:

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

2025

CNN and RVV Co-design for Efficient Model Serving.

Sonia Rani Gupta, Nikela Papadopoulou, Jing Chen, Miquel Pericàs

Proceedings of the 19th ACM International Conference on Distributed and Event-based Systems, 2025

2024

SWEEP: Adaptive Task Scheduling for Exploring Energy Performance Trade-offs.

Jing Chen, Madhavan Manivannan, Bhavishya Goel, Miquel Pericàs

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Co-Design of Convolutional Algorithms and Long Vector RISC-V Processors for Efficient CNN Model Serving.

Sonia Rani Gupta, Nikela Papadopoulou, Jing Chen, Miquel Pericàs

Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023

JOSS: Joint Exploration of CPU-Memory DVFS and Task Scheduling for Energy Efficiency.

Jing Chen, Madhavan Manivannan, Bhavishya Goel, Miquel Pericàs

Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022

ERASE: Energy Efficient Task Mapping and Resource Management for Work Stealing Runtimes.

Jing Chen, Madhavan Manivannan, Mustafa Abduljabbar, Miquel Pericàs

ACM Trans. Archit. Code Optim., 2022

STEER: Asymmetry-aware Energy Efficient Task Scheduler for Cluster-based Multicore Architectures.

Jing Chen, Madhavan Manivannan, Bhavishya Goel, Mustafa Abduljabbar, Miquel Pericàs

Proceedings of the 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2022

2021

BALS: Blocked Alternating Least Squares for Parallel Sparse Matrix Factorization on GPUs.

Jing Chen, Jianbin Fang, Weifeng Liu, Canqun Yang

IEEE Trans. Parallel Distributed Syst., 2021

2020

clMF: A fine-grained and portable alternating least squares algorithm for parallel matrix factorization.

Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Canqun Yang

Future Gener. Comput. Syst., 2020

Scheduling Task-parallel Applications in Dynamically Asymmetric Environments.

Jing Chen, Pirah Noor Soomro, Mustafa Abduljabbar, Madhavan Manivannan, Miquel Pericàs

Proceedings of the ICPP Workshops '20: Workshops, Edmonton, AB, Canada, August 17-20, 2020, 2020

LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing.

Behzad Salami, Konstantinos Parasyris, Adrián Cristal, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raúl de la Cruz, Leonardo Bautista-Gomez, Daniel A. Jiménez, Carlos Álvarez, Seyed Saber Nabavi Larimi, Sergi Madonar, Miquel Pericàs, Pedro Trancoso, Mustafa Abduljabbar, Jing Chen, Pirah Noor Soomro, Madhavan Manivannan, Micha vor dem Berge, Stefan Krupop, Frank Klawonn, Al Mekhlafi, Sigrun May, Tobias Becker, Georgi Gaydadjiev, Hans Salomonsson, Devdatt P. Dubhashi, Oron Port, Yoav Etsion, Do Le Quoc, Christof Fetzer, Martin Kaiser, Nils Kucza, Jens Hagemeyer, René Griessl, Lennart Tigges, Kevin Mika, A. Hüffmeier, Marcelo Pasin, Valerio Schiavoni, Isabelly Rocha, Christian Göttel, Pascal Felber

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing.

Behzad Salami, Konstantinos Parasyris, Adrián Cristal, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raúl de la Cruz, Leonardo Bautista-Gomez, Daniel A. Jiménez, Carlos Álvarez, S. Nabavi, Sergi Madonar, Miquel Pericàs, Pedro Trancoso, Mustafa Abduljabbar, Jing Chen, Pirah Noor Soomro, Madhavan Manivannan, Micha vor dem Berge, Stefan Krupop, Frank Klawonn, Al Mekhlafi, Sigrun May, Tobias Becker, Georgi Gaydadjiev, Daniel Ödman, Hans Salomonsson, Devdatt P. Dubhashi, Oron Port, Yoav Etsion, Do Le Quoc, Christof Fetzer, Martin Kaiser, Nils Kucza, Jens Hagemeyer, René Griessl, Lennart Tigges, Kevin Mika, A. Hüffmeier, Th. Jungeblu, Marcelo Pasin, Valerio Schiavoni, Isabelly Rocha, Christian Göttel, Pascal Felber

CoRR, 2019

An Adaptive Performance-oriented Scheduler for Static and Dynamic Heterogeneity.

Jing Chen, Pirah Noor Soomro, Mustafa Abdul Jabbar, Miquel Pericàs

CoRR, 2019

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, Jianbin Fang, Tao Tang, Canqun Yang

计算机科学, 2017

Efficient and Portable ALS Matrix Factorization for Recommender Systems.

Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Xuhao Chen, Canqun Yang

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

High Performance Coordinate Descent Matrix Factorization for Recommender Systems.

Xi Yang, Jianbin Fang, Jing Chen, Chengkun Wu, Tao Tang, Kai Lu

Proceedings of the Computing Frontiers Conference, 2017