Jing Chen - RankMe

18 papers A 2B 2C 1Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	CNN and RVV Co-design for Efficient Model Serving. DEBS Sonia Rani Gupta, Nikela Papadopoulou, Jing Chen, Miquel Pericàs
2025	—	`conf`	ILAN: The Interference- and Locality-Aware NUMA Scheduler. SC Workshops Edvin Mellberg, Axel Carlsson, Jing Chen, Miquel Pericàs
2024	B	`conf`	Co-Design of Convolutional Algorithms and Long Vector RISC-V Processors for Efficient CNN Model Serving. ICPP Sonia Rani Gupta, Nikela Papadopoulou, Jing Chen, Miquel Pericàs
2024	A	`conf`	SWEEP: Adaptive Task Scheduling for Exploring Energy Performance Trade-offs. IPDPS Jing Chen, Madhavan Manivannan, Bhavishya Goel, Miquel Pericàs
2023	B	`conf`	JOSS: Joint Exploration of CPU-Memory DVFS and Task Scheduling for Energy Efficiency. ICPP Jing Chen, Madhavan Manivannan, Bhavishya Goel, Miquel Pericàs
2022	J	`jnl`	ERASE: Energy Efficient Task Mapping and Resource Management for Work Stealing Runtimes. CoRR Jing Chen, Madhavan Manivannan, Mustafa Abduljabbar, Miquel Pericàs
2022	J	`jnl`	ERASE: Energy Efficient Task Mapping and Resource Management for Work Stealing Runtimes. ACM Trans. Archit. Code Optim. Jing Chen, Madhavan Manivannan, Mustafa Abduljabbar, Miquel Pericàs
2022	C	`conf`	STEER: Asymmetry-aware Energy Efficient Task Scheduler for Cluster-based Multicore Architectures. SBAC-PAD Jing Chen, Madhavan Manivannan, Bhavishya Goel, Mustafa Abduljabbar, Miquel Pericàs
2021	J	`jnl`	BALS: Blocked Alternating Least Squares for Parallel Sparse Matrix Factorization on GPUs. IEEE Trans. Parallel Distributed Syst. Jing Chen, Jianbin Fang, Weifeng Liu, Canqun Yang
2020	A	`conf`	LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. DATE 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
2020	—	`conf`	Scheduling Task-parallel Applications in Dynamically Asymmetric Environments. ICPP Workshops Jing Chen, Pirah Noor Soomro, Mustafa Abduljabbar, Madhavan Manivannan, Miquel Pericàs
2020	J	`jnl`	Scheduling Task-parallel Applications in Dynamically Asymmetric Environments. CoRR Jing Chen, Pirah Noor Soomro, Mustafa Abduljabbar, Madhavan Manivannan, Miquel Pericàs
2020	J	`jnl`	clMF: A fine-grained and portable alternating least squares algorithm for parallel matrix factorization. Future Gener. Comput. Syst. Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Canqun Yang
2019	J	`jnl`	An Adaptive Performance-oriented Scheduler for Static and Dynamic Heterogeneity. CoRR Jing Chen, Pirah Noor Soomro, Mustafa Abdul Jabbar, Miquel Pericàs
2019	J	`jnl`	LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. CoRR 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
2017	—	`conf`	Efficient and Portable ALS Matrix Factorization for Recommender Systems. IPDPS Workshops Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Xuhao Chen, Canqun Yang
2017	—	`conf`	High Performance Coordinate Descent Matrix Factorization for Recommender Systems. Conf. Computing Frontiers Xi Yang, Jianbin Fang, Jing Chen, Chengkun Wu, Tao Tang, Kai Lu
2017	J	`jnl`	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). 计算机科学 Jing Chen, Jianbin Fang, Tao Tang, Canqun Yang