Lingjia Tang

Assistant Professor, Computer Science

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 20th International Conference on Architectural Support for Programming Language and Operating Systems  (ASPLOS), 2017.

[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 20th International Conference on Architectural Support for Programming Language and Operating Systems  (ASPLOS), 2017.

 

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 43nd 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 ApproximationMichael 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 LearningDaniel 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). 

2015

[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

2014

[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.  .

2013

[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 2013pdf 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 2013pdf 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 2013pdf

2012

[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

2011

[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
 

2010 and before

Simulation/Numerical Optimization

Agile Optimization for Coercion. Lingjia Tang, Paul F. Reynolds. In Proceedings of the Winter Simulation Conferences 2007 (WSC ’07)

Explanation Exploration: Explore Emergent Behavior. Ross Gore, Paul Reynolds, Lingjia Tang, David Brogan. In Proceedings of the International Workshop on Principles of Advanced and Distributed Simulation (PADS’07).

Exploit User Insights for Efficient Simulation Adaptation. Lingjia Tang, Paul Reynolds. 2008 VMASC Capstone Conference.