Lingjia Tang
Lingjia TangAssociate Professor, Computer Science and EngineeringComputer Science and Engineering
4609 Beyster Bldg.2260 Hayward St.Ann Arbor, MI 48109-2121

Publication

Check out the complete publication list at the Google scholar page

[ISPASS ’24] Chandra Irugalbandara, Ashish Mahendra, Roland Daynauth, Tharuka Kasthuri Arachchige, Krisztian Flautner, Lingjia Tang, Yiping Kang, Jason Mars. “Scaling Down to Scale Up: A Cost- Benefit Analysis of Replacing OpenAI’s GPT-4 with Self-Hosted Open Source SLMs in Production”. The IEEE International Symposium on Performance Analysis of Systems and Software, 2024

[CAL ’23] Jason Mars, Yiping Kang, Roland Daynauth, Baichuan Li, Ashish Mahendra, Krisztian Flautner, Lingjia Tang. “The Jaseci Programming Paradigm and Runtime Stack: Building Scale-Out Production Applications Easy and Fast”. The IEEE Computer Architecture Letters ( Volume: 22, Issue: 2, July-Dec. 2023)

[ACL ’23] Christopher Clarke, Yuzhao Heng, Yiping Kang, Krisztian Flautner, Lingjia Tang and Jason Mars. “Label Agnostic Pre-training for Zero-shot Text Classification”. Findings of the Association for Computational Linguistics: ACL 2023

[ACL ’22] Christopher Clarke, Joseph Peper, Karthik Krishnamurthy, Walter Talamonti, Kevin Leach, Walter Lasecki, Yiping Kang, Lingjia Tang, Jason Mars. “One Agent To Rule Them All: Towards Multi-agent Conversational AI. “ Findings of the Association for Computational Linguistics: ACL 2022

[MICRO ’20] Tianyi Liu, Sen He, Sunzhou Huang, Danny Tsang, Lingjia Tang, Jason Mars, Wei Wan. “A Benchmarking Framework for Interactive 3 D Applications in the Cloud.” In Proceedings of the 53rd IEEE/ACM International Symposium on Microarchitecture (MICRO), 2020

[NAACL ’19] Outlier Detection for Improved Data Quality and Diversity in Dialog Systems.  Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang and Jason Mars. In Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), 2019. Acceptance rate: 26.3%

[Eurosys ’19] GrandSLAm: Guaranteeing SLAs for Jobs in Microservices Execution Frameworks. Ram Srivatsa Kannan, Lavanya Subramanian, Ashwin Raju, Jeongseob Ahn, Jason Mars, Lingjia Tang (EuroSys) 2019. Acceptance rate:21.7%

[TACO ’19] Caliper: Interference Estimator for Multi-tenant Environments Sharing Architectural Resources. Ram Srivatsa Kannan, Michael Laurenzano, Jeongseob Ahn, Jason Mars, Lingjia Tang. ACM Transactions on Architecture and Code Optimization.

[UIST ’18] Adasa: In-Vehicle Digital Assistant for Advanced Driver Assistance Features. Shih-Chieh Lin, Chang-Hong Hsu, Walter Talamonti, Yunqi Zhang, Steve Oney, Jason Mars and Lingjia Tang. The 31st ACM Symposium on User Interface Software and Technology. Acceptance rate: 21.3%

[NAACL ’18] Data Collection for Dialogue System: A Startup Perspective.  Yiping Kang, Yunqi Zhang, Jonathan K. Kummerfeld, Lingjia Tang and Jason Mars. In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), 2018. Acceptance rate: 29.4%

[ISCA ’18] Virtual Melting Temperature: Managing Server Load to Minimize Cooling Overhead with Phase Change Materials.  Matt Skach, Manish Arora, Dean Tullsen, Lingjia Tang and Jason Mars. In Proceedings of the 45th Annual International Symposium on Computer Architecture (ISCA), 2018.

[ISCA ’18] Gist: Efficient Data Encoding for Deep Neural Network Training. Animesh Jain, Amar Phanishayee, Jason Mars, Lingjia Tang and Gennady Pekhimenko. In Proceedings of the 45th Annual International Symposium on Computer Architecture (ISCA), 2018.

[ASPLOS ’18] SmoothOperator: Combating Power Fragmentation and Improving Power Utilization in Large-scale Datacenters. Chang-Hong Hsu, Qingyuan Deng, Jason Mars and Lingjia Tang. In Proceedings of the 23rd International Conference on Architectural Support for Programming Language and Operating Systems  (ASPLOS), 2018

[ASPLOS ’18] The Architectural Implications of Autonomous Driving: Constraints and Acceleration. Shih-Chieh Lin, Yunqi Zhang, Chang-Hong Hsu, Matt Skach, Md E. Haque, Lingjia Tang and Jason Mars. In Proceedings of the 23rd International Conference on Architectural Support for Programming Language and Operating Systems  (ASPLOS), 2018

[PACT ’18] Architectural Support for Convolutional Neural Networks on Modern CPUs. Animesh Jain, Michael A. Laurenzano, Gilles Pokam, Jason Mars and Lingjia Tang. In Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques (PACT), 2018.

[ISPASS ’18] Proctor: Identifying Interference in Shared Datacenters. Ram Srivatsa Kannan, Animesh Jain, Michael A. Laurenzano and Lingjia Tang and Jason Mars. In Proceedings of the International Symposium on Performance Analysis of Systems and Software (ISPASS), 2018

[MICRO ’17] Addressing Compute and Memory Bottlenecks for DNN Execution on GPU.  Parker Hill, Animesh Jain, Mason Hill, Babak Zamirai, Michael Laurenzano, Chang-Hong Hsu, Scott Mahlke, Lingjia Tang, Jason Mars . International Symposium on Microarchitecture (MICRO), 2017.

[ISCA ’17] PowerChief: Intelligent Power Allocation for Multi-Stage Applications to Improve Responsiveness on Power Constrained CMP.  Hailong Yang, Quan Chen, Moeiz Riaz, Zhongzhi Luan, Lingjia Tang, Jason Mars. In Proceedings of the 44th Annual International Symposium on Computer Architecture (ISCA), 2017.

[ASPLOS ’17] Neurosurgeon: Collaborative Intelligence Between Cloud and the Mobile Edge.  Yiping Kang, Johann Hauswald, Cao Gao, Austin Rovinski, Trevor Mudge, Jason Mars, and Lingjia Tang. In Proceedings of the 22nd International Conference on Architectural Support for Programming Language and Operating Systems  (ASPLOS), 2017. pdf

[ASPLOS ’17] Prophet: Precise QoS Prediction on Non-Preemptive Accelerators to Improve Utilization in Warehouse-Scale Computers.  Quan Chen, Hailong Yang, Minyi Guo, Ram Srivasta Kannan, Jason Mars and Lingjia Tang. In Proceedings of the 22nd International Conference on Architectural 2016

[ISCA ’16] Treadmill: Attributing the Source of Tail Latency through Precise Load Testing and Statistical Inference. Yunqi Zhang, David Meisner, Jason Mars, and Lingjia Tang. In Proceedings of the 43rd Annual International Symposium on Computer Architecture (ISCA), 2016. Acceptance Rate: 19%. pdf

[ISCA ’16] Powerchop: Identifying and Managing Non-criticality in Units in Hybrid Processor Architectures. Michael A. Laurenzano, Jiang Chen, Lingjia Tang, and Jason Mars. In Proceedings of the 43rd Annual International Symposium on Computer Architecture (ISCA), 2016. Acceptance Rate: 19%. pdf

[PLDI ’16] Input Responsive: Using Canary Inputs to Dynamically Steer Approximation. Michael A. Laurenzano, Parker Hill, Mehrzad Samadi, Scott Mahlke, Jason Mars and Lingjia Tang. in Proceedings of the 37th annual ACM SIGPLAN conference on Programming Language Design and Implementation (PLDI), 2016. Acceptance Rate: 16%. pdf

[Top Picks ’16] Sirius Implications for Future Warehouse Scale Computers. Johann Hauswald, Michael A. Laurenzano, Yunqi Zhang, Cheng Li, Austin Rovinski, Arjun Khurana, Ronald G. Dreslinski, Trevor Mudge, Vinicius Petrucci, Lingjia Tang and Jason Mars. IEEE Micro, 2016 Top Picks. Acceptance Rate: 10% of accepted papers from ISCA/HPCA/ASPLOS/MICRO (To appear)

[ASPLOS ’16] Baymax: QoS Awareness and Increased Utilization for Non-preemptive Accelerators in Warehouse Scale Computers. Quan Chen, Hailong Yang, Jason Mars, and Lingjia Tang. To appear In Proceedings of the Twenty First International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2016. Acceptance Rate: 19%. pdf

[MICRO ’16] Concise Loads and Stores: The Case for An Asymmetric Compute-Memory Architecture for Approximation Animesh Jain, Parker Hill, Shih-Chieh Lin, Muneed Khan, Md E. Haque, Scott Mahlke, Michael A. Laurenzano, Lingjia Tang, and Jason Mars. International Symposium on Microarchitecture (MICRO), 2016. Acceptance Rate: 21% (To Appear). 

[MICRO ’16] CrystalBall: Statically Analyzing Runtime Behavior via Deep Sequence Learning. Daniel Rings, Nathan Harada, Michael A. Laurenzano, Lingjia Tang, and Jason Mars. International Symposium on Microarchitecture (MICRO), 2016. Acceptance Rate: 21% (To Appear). 

[MICRO ’16] Continuous Shape Shifting: Enabling Loop Co-optimization via Near-free Dynamic Code Rewriting. Animesh Jain, Michael A. Laurenzano, Lingjia Tang, and Jason Mars. International Symposium on Microarchitecture (MICRO), 2016. Acceptance Rate: 21% (To Appear). 

[ISCA ’15] Djinn: DNN as a Service and Its Implications for Future Warehouse Scale Computers. Johann Hauswald, Yiping Kang, Michael A. Laurenzano, Quan Chen, Cheng Li, Ronald Dreslinski, Trevor Mudge, Jason Mars, and Lingjia Tang. In Proceedings of the 42nd Annual International Symposium on Computer Architecture (ISCA), ISCA ’15, New York, NY, USA, 2015. ACM. Acceptance Rate: 19%  pdf slide lightning

[ISCA ’15] Thermal Time Shifting: Leveraging Phase Change Materials to Reduce Cooling Costs in Warehouse-Scale Computers. Matt Skach, Manish Arora, Chang-Hong Hsu, Qi Li, Dean Tullsen, Lingjia Tang, and Jason Mars. In Proceedings of the 42nd Annual International Symposium on Computer Architecture (ISCA), ISCA ’15, New York, NY, USA, 2015. ACM. Acceptance Rate: 19%  pdf slide

[ASPLOS ’15] Sirius: An Open End-to-End Voice and Vision Personal Assistant and Its Implications for Future Warehouse Scale Computers. Johann Hauswald, Yunqi Zhang, Michael A. Laurenzano, Cheng Li, Austin Rovinski, Arjun Khurana, Ron Dreslinski, Vinicius Petrucci, Trevor Mudge, Lingjia Tang, and Jason Mars. In Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), New York, NY, USA, 2015. ACM. Acceptance Rate: 17% pdf slide

[HPCA’15] Adrenaline: Pinpointing and Reining in Tail Queries with Quick Voltage Boosting. Chang-Hong Hsu, Yunqi Zhang, Michael A. Laurenzano, David Meisner, Thomas Wenisch, Lingjia Tang, Jason Mars, and Ron Dreslinski. In Proceedings of the 2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA), Washington, DC, USA, 2015. IEEE Computer Society. Acceptance Rate: 22% pdf slide

[HPCA’15] Octopus-Man: QoS-Driven Task Management for Heterogeneous Multicore in Warehouse Scale Computers. Vinicius Petrucci, Michael A. Laurenzano, Yunqi Zhang, John Doherty, Daniel Mosse, Jason Mars, and Lingjia Tang. In Proceedings of the 2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA), Washington, DC, USA, 2015. IEEE Computer Society. Acceptance Rate: 22% pdf slide

[MICRO ’14] Protean Code: Achieving Near-Free Online Code Transformations for Warehouse Scale Computers.  Michael Laurenzano, Yunqi Zhang, Lingjia Tang, and Jason Mars. In Proceedings of the 47th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO-47, New York, NY, USA, 2014. ACM. Acceptance Rate: 19%  pdf 

[MICRO ’14] SMiTe: Precise QoS Prediction on Real System SMT Processors to Improve Utilization in Warehouse Scale Computers. Yunqi Zhang, Michael Laurenzano, Jason Mars, and Lingjia Tang. In Proceedings of the 47th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO-47, New York, NY, USA, 2014. ACM. Acceptance Rate: 19% pdf slides lightening

[USENIX ATC ’14] HaPPy: Hyperthread-aware Power Profiling Dynamically   Yan Zhai, Xiao Zhang, Stephane Eranian, Lingjia Tang, and Jason Mars. In Proceedings of the 2014 USENIX Conference on USENIX Annual Technical Conference (Usenix ATC), USENIX ATC’14, pages 211-218, Berkeley, CA, USA, 2014. USENIX Association. Acceptance Rate: 15%  pdf

[Scientific Computing] Enabling fair pricing on high performance computer systems with node sharing   Alex D. Breslow, Ananta Tiwari, Martin Schulz, Laura Carrington, Lingjia Tang, and Jason Mars. Scientific Programming, 22(2):59-74, 2014.  .Support for Programming Language and Operating Systems  (ASPLOS), 2017.

[ISCA ’13] Bubble-Flux: Precise Online QoS Management for Increased Utilization in Warehouse Scale Computers Hailong Yang, Alex Breslow, Jason Mars and Lingjia Tang. International Symposium on Computer Architecture 2013. pdf slides

[ISCA ’13]  Heterogeneity in “Homogeneous” Warehouse-Scale Computers: A Production Scale Investigation and Design  Jason Mars, Lingjia Tang.  International Symposium on Computer Architecture 2013. pdf

[ASPLOS ’13]  ReQoS: Reactive Static/Dynamic Compilation for QoS in Warehouse Scale Computers  Lingjia Tang, Jason Mars, Wei Wang, Tanima Dey and Mary Lou Soffa. International Conference on Architectural Support for Programming Languages and Operating Systems 2013. pdf slides

[HPCA ’13]  Optimizing Google’s Warehouse Scale Computers: The NUMA Experience      Lingjia Tang, Jason Mars, Xiao Zhang, Robert Hagmann, Robert Hundt and Eric Tune. IEEE International Symposium on High Performance Computer Architecture 2013.pdf slides

[SC ’13] Enabling Fair Pricing on HPC Systems with Node Sharing  Alex Breslow, Ananta Tiwari, Laura Carrington, Lingjia Tang and Jason Mars. Super Computing 2013. pdf

[IEEE MICRO ’12] Increasing Utilization in Warehouse Scale Computers Using Bubble-Up!            Jason Mars, Lingjia Tang, Robert Hundt, Kevin Skadron, Mary Lou Soffa. Special Issue: IEEE Micro’s Top Picks from 2011 Computer Architecture Conferences (MICRO TOP PICKS) 2012. pdf

[CGO ’12] Compiling For Niceness: Mitigating Contention for QoS in Warehouse Scale Computers Lingjia Tang, Jason Mars, Mary Lou Soffa. International Symposium on Code Generation and Optimization 2012. Best paper awardpdf

[ISPASS ’12] Performance Analysis of Thread Mappings with a Holistic View of the Hardware Resources  Wei Wang, Tanima Dey, Jason Mars, Lingjia Tang, Jack Davidson, Mary Lou Soffa.IEEE International Symposium on Performance Analysis of Systems and Software 2012. pdf

[ISCA ’11] The Impact of Memory Subsystem Resource Sharing on Datacenter Applications     Lingjia Tang, Jason Mars, Neil Vachharajani, Robert Hundt, Mary Lou Soffa. International Symposium on Computer Architecture 2011. Acceptance Rate: (40/208) 19%selected as one of Excellent Papers for 2011 by Google pdf slides

[MICRO ’11] Bubble-Up: Increasing Sensible Co-locations for Improved Utilization in Modern Warehouse Scale Computers Jason Mars, Lingjia Tang, Robert Hundt, Kevin Skadron, Mary Lou Soffa. The 44th Annual IEEE/ACM International Symposium on Microarchitecture. Acceptance Rate: (44/209) 21% pdf

[HiPEAC ’11] Directly Characterizing Cross Core Interference Through Contention Synthesis   Jason Mars, Lingjia Tang, Mary Lou Soffa. In Proceedings of the International Conference on High Performance Embedded Architectures & Compilers 2011. Acceptance Rate: 23% pdf

[CAL ’11] Heterogeneity in “Homogeneous” Warehouse-Scale Computers: A Performance Opportunity Jason Mars, Lingjia Tang, Robert Hundt. In IEEE Computer Architecture Letters 2011. Acceptance Rate: 24% pdf

[EXADAPT ’11] Contentiousness vs. Sensitivity: Improving Contention Aware Runtime Systems on Multicore Architectures Lingjia Tang, Jason Mars, Mary Lou Soffa. In ACM SIGPLAN 1st International Workshop on Adaptive Self-Tuning Computing Systems for the Exaflop Era (EXADAPT) @ PLDI 2011