Explanation Exploration: Exploring Emergent Behavior. - Ross Gore; Paul F. Reynolds Jr.; Lingjia Tang; David C. Brogan (PADS, 2007)

Agile optimization for coercion. - Lingjia Tang; Paul F. Reynolds Jr. (WSC, 2007)

Directly characterizing cross core interference through contention synthesis. - Jason Mars; Lingjia Tang; Mary Lou Soffa (HiPEAC, 2011)

The impact of memory subsystem resource sharing on datacenter applications. - Lingjia Tang; Jason Mars; Neil Vachharajani; Robert Hundt; Mary Lou Soffa (ISCA, 2011)

Bubble-Up: increasing utilization in modern warehouse scale computers via sensible co-locations. - Jason Mars; Lingjia Tang; Robert Hundt; Kevin Skadron; Mary Lou Soffa (MICRO, 2011)

Heterogeneity in "Homogeneous" Warehouse-Scale Computers: A Performance Opportunity. - Jason Mars; Lingjia Tang; Robert Hundt (IEEE Comput. Archit. Lett., 2011)

Compiling for niceness: mitigating contention for QoS in warehouse scale computers. - Lingjia Tang; Jason Mars; Mary Lou Soffa (CGO, 2012)

Performance analysis of thread mappings with a holistic view of the hardware resources. - Wei Wang 054; Tanima Dey; Jason Mars; Lingjia Tang; Jack W. Davidson; Mary Lou Soffa (ISPASS, 2012)

Increasing Utilization in Modern Warehouse-Scale Computers Using Bubble-Up. - Jason Mars; Lingjia Tang; Kevin Skadron; Mary Lou Soffa; Robert Hundt (IEEE Micro, 2012)

ReQoS: reactive static/dynamic compilation for QoS in warehouse scale computers. - Lingjia Tang; Jason Mars; Wei Wang 054; Tanima Dey; Mary Lou Soffa (ASPLOS, 2013)

Optimizing Google's warehouse scale computers: The NUMA experience. - Lingjia Tang; Jason Mars; Xiao Zhang; Robert Hagmann; Robert Hundt; Eric Tune (HPCA, 2013)

Whare-map: heterogeneity in "homogeneous" warehouse-scale computers. - Jason Mars; Lingjia Tang (ISCA, 2013)

Bubble-flux: precise online QoS management for increased utilization in warehouse scale computers. - Hailong Yang 002; Alex D. Breslow; Jason Mars; Lingjia Tang (ISCA, 2013)

Enabling fair pricing on HPC systems with node sharing. - Alex D. Breslow; Ananta Tiwari; Martin Schulz 001; Laura Carrington; Lingjia Tang; Jason Mars (SC, 2013)

Understanding Application Contentiousness and Sensitivity on Modern Multicores. - Jason Mars; Lingjia Tang (Adv. Comput., 2013)

Protean Code: Achieving Near-Free Online Code Transformations for Warehouse Scale Computers. - Michael A. Laurenzano; Yunqi Zhang; Lingjia Tang; Jason Mars (MICRO, 2014)

SMiTe: Precise QoS Prediction on Real-System SMT Processors to Improve Utilization in Warehouse Scale Computers. - Yunqi Zhang; Michael A. Laurenzano; Jason Mars; Lingjia Tang (MICRO, 2014)

HaPPy: Hyperthread-aware Power Profiling Dynamically. - Yan Zhai; Xiao Zhang; Stéphane Eranian; Lingjia Tang; Jason Mars (USENIX ATC, 2014)

Enabling fair pricing on high performance computer systems with node sharing. - Alex D. Breslow; Ananta Tiwari; Martin Schulz 001; Laura Carrington; Lingjia Tang; Jason Mars (Sci. Program., 2014)

Sirius: An Open End-to-End Voice and Vision Personal Assistant and Its Implications for Future Warehouse Scale Computers. - Johann Hauswald; Michael A. Laurenzano; Yunqi Zhang; Cheng Li; Austin Rovinski; Arjun Khurana; Ronald G. Dreslinski; Trevor N. Mudge; Vinicius Petrucci; Lingjia Tang; Jason Mars (ASPLOS, 2015)

Adrenaline: Pinpointing and reining in tail queries with quick voltage boosting. - Chang-Hong Hsu; Yunqi Zhang; Michael A. Laurenzano; David Meisner; Thomas F. Wenisch; Jason Mars; Lingjia Tang; Ronald G. Dreslinski (HPCA, 2015)

Octopus-Man: QoS-driven task management for heterogeneous multicores in warehouse-scale computers. - Vinicius Petrucci; Michael A. Laurenzano; John Doherty; Yunqi Zhang; Daniel Mossé; Jason Mars; Lingjia Tang (HPCA, 2015)

DjiNN and Tonic: DNN as a service and its implications for future warehouse scale computers. - Johann Hauswald; Yiping Kang; Michael A. Laurenzano; Quan Chen 002; Cheng Li; Trevor N. Mudge; Ronald G. Dreslinski; Jason Mars; Lingjia Tang (ISCA, 2015)

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 M. Tullsen; Lingjia Tang; Jason Mars (ISCA, 2015)

Baymax: QoS Awareness and Increased Utilization for Non-Preemptive Accelerators in Warehouse Scale Computers. - Quan Chen 002; Hailong Yang 002; Jason Mars; Lingjia Tang (ASPLOS, 2016)

PowerChop: Identifying and Managing Non-critical Units in Hybrid Processor Architectures. - Michael A. Laurenzano; Yunqi Zhang; Jiang Chen; Lingjia Tang; Jason Mars (ISCA, 2016)

Treadmill: Attributing the Source of Tail Latency through Precise Load Testing and Statistical Inference. - Yunqi Zhang; David Meisner; Jason Mars; Lingjia Tang (ISCA, 2016)

Concise loads and stores: The case for an asymmetric compute-memory architecture for approximation. - Animesh Jain; Parker Hill; Shih-Chieh Lin; Muneeb Khan; Md. Enamul Haque; Michael A. Laurenzano; Scott A. Mahlke; Lingjia Tang; Jason Mars (MICRO, 2016)

Continuous shape shifting: Enabling loop co-optimization via near-free dynamic code rewriting. - Animesh Jain; Michael A. Laurenzano; Lingjia Tang; Jason Mars (MICRO, 2016)

CrystalBall: Statically analyzing runtime behavior via deep sequence learning. - Stephen A. Zekany; Daniel Rings; Nathan Harada; Michael A. Laurenzano; Lingjia Tang; Jason Mars (MICRO, 2016)

Input responsiveness: using canary inputs to dynamically steer approximation. - Michael A. Laurenzano; Parker Hill; Mehrzad Samadi; Scott A. Mahlke; Jason Mars; Lingjia Tang (PLDI, 2016)

Sirius Implications for Future Warehouse-Scale Computers. - Johann Hauswald; Michael A. Laurenzano; Yunqi Zhang; Cheng Li; Austin Rovinski; Arjun Khurana; Ronald G. Dreslinski; Trevor N. Mudge; Vinicius Petrucci; Lingjia Tang; Jason Mars (IEEE Micro, 2016)

Designing Future Warehouse-Scale Computers for Sirius, an End-to-End Voice and Vision Personal Assistant. - Johann Hauswald; Michael A. Laurenzano; Yunqi Zhang; Hailong Yang 002; Yiping Kang; Cheng Li; Austin Rovinski; Arjun Khurana; Ronald G. Dreslinski; Trevor N. Mudge; Vinicius Petrucci; Lingjia Tang; et al. (ACM Trans. Comput. Syst., 2016)

Prophet: Precise QoS Prediction on Non-Preemptive Accelerators to Improve Utilization in Warehouse-Scale Computers. - Quan Chen 002; Hailong Yang 002; Minyi Guo; Ram Srivatsa Kannan; Jason Mars; Lingjia Tang (ASPLOS, 2017)

Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge. - Yiping Kang; Johann Hauswald; Cao Gao; Austin Rovinski; Trevor N. Mudge; Jason Mars; Lingjia Tang (ASPLOS, 2017)

PowerChief: Intelligent Power Allocation for Multi-Stage Applications to Improve Responsiveness on Power Constrained CMP. - Hailong Yang 002; Quan Chen 002; Moeiz Riaz; Zhongzhi Luan; Lingjia Tang; Jason Mars (ISCA, 2017)

DeftNN: addressing bottlenecks for DNN execution on GPUs via synapse vector elimination and near-compute data fission. - Parker Hill; Animesh Jain; Mason Hill; Babak Zamirai; Chang-Hong Hsu; Michael A. Laurenzano; Scott A. Mahlke; Lingjia Tang; Jason Mars (MICRO, 2017)

Thermal Time Shifting: Decreasing Data Center Cooling Costs with Phase-Change Materials. - Matt Skach; Manish Arora; Chang-Hong Hsu; Qi Li; Dean M. Tullsen; Lingjia Tang; Jason Mars (IEEE Internet Comput., 2017)

Reining in Long Tails in Warehouse-Scale Computers with Quick Voltage Boosting Using Adrenaline. - Chang-Hong Hsu; Yunqi Zhang; Michael A. Laurenzano; David Meisner; Thomas F. Wenisch; Ronald G. Dreslinski; Jason Mars; Lingjia Tang (ACM Trans. Comput. Syst., 2017)

Architectural support for convolutional neural networks on modern CPUs. - Animesh Jain; Michael A. Laurenzano; Gilles A. Pokam; Jason Mars; Lingjia Tang (PACT, 2018)

SmoothOperator: Reducing Power Fragmentation and Improving Power Utilization in Large-scale Datacenters. - Chang-Hong Hsu; Qingyuan Deng; Jason Mars; Lingjia Tang (ASPLOS, 2018)

The Architectural Implications of Autonomous Driving: Constraints and Acceleration. - Shih-Chieh Lin; Yunqi Zhang; Chang-Hong Hsu; Matt Skach; Md. Enamul Haque; Lingjia Tang; Jason Mars (ASPLOS, 2018)

Gist: Efficient Data Encoding for Deep Neural Network Training. - Animesh Jain; Amar Phanishayee; Jason Mars; Lingjia Tang; Gennady Pekhimenko (ISCA, 2018)

Virtual Melting Temperature: Managing Server Load to Minimize Cooling Overhead with Phase Change Materials. - Matt Skach; Manish Arora; Dean M. Tullsen; Lingjia Tang; Jason Mars (ISCA, 2018)

Proctor: Detecting and Investigating Interference in Shared Datacenters. - Ram Srivatsa Kannan; Animesh Jain; Michael A. Laurenzano; Lingjia Tang; Jason Mars (ISPASS, 2018)

Data Collection for Dialogue System: A Startup Perspective. - Yiping Kang; Yunqi Zhang; Jonathan K. Kummerfeld; Lingjia Tang; Jason Mars (NAACL-HLT (3), 2018)

Adasa: A Conversational In-Vehicle Digital Assistant for Advanced Driver Assistance Features. - Shih-Chieh Lin; Chang-Hong Hsu; Walter Talamonti; Yunqi Zhang; Steve Oney; Jason Mars; Lingjia Tang (UIST, 2018)

Rethinking Numerical Representations for Deep Neural Networks. - Parker Hill; Babak Zamirai; Shengshuo Lu; Yu-Wei Chao; Michael Laurenzano; Mehrzad Samadi; Marios C. Papaefthymiou; Scott A. Mahlke; Thomas F. Wenisch; Jia Deng 001; Lingjia Tang; Jason Mars (CoRR, 2018)

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. - Stefan Larson; Anish Mahendran; Joseph J. Peper; Christopher Clarke; Andrew Lee 001; Parker Hill; Jonathan K. Kummerfeld; Kevin Leach; Michael A. Laurenzano; Lingjia Tang; Jason Mars (EMNLP/IJCNLP (1), 2019)

GrandSLAm: Guaranteeing SLAs for Jobs in Microservices Execution Frameworks. - Ram Srivatsa Kannan; Lavanya Subramanian; Ashwin Raju; Jeongseob Ahn; Jason Mars; Lingjia Tang (EuroSys, 2019)

Understanding the Impact of Socket Density in Density Optimized Servers. - Manish Arora; Matt Skach; Wei Huang 004; Xudong An; Jason Mars; Lingjia Tang; Dean M. Tullsen (HPCA, 2019)

Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. - Stefan Larson; Anish Mahendran; Andrew Lee 001; Jonathan K. Kummerfeld; Parker Hill; Michael A. Laurenzano; Johann Hauswald; Lingjia Tang; Jason Mars (NAACL-HLT (1), 2019)

Caliper: Interference Estimator for Multi-tenant Environments Sharing Architectural Resources. - Ram Srivatsa Kannan; Michael Laurenzano; Jeongseob Ahn; Jason Mars; Lingjia Tang (ACM Trans. Archit. Code Optim., 2019)

A Benchmarking Framework for Interactive 3D Applications in the Cloud. - Tianyi Liu; Sen He 002; Sunzhou Huang; Danny H. K. Tsang; Lingjia Tang; Jason Mars; Wei Wang 054 (MICRO, 2020)

One Agent To Rule Them All: Towards Multi-agent Conversational AI. - Christopher Clarke; Joseph Peper; Karthik Krishnamurthy; Walter Talamonti; Kevin Leach; Walter S. Lasecki; Yiping Kang; Lingjia Tang; Jason Mars (ACL (Findings), 2022)

Towards Personalized Intelligence at Scale. - Yiping Kang; Ashish Mahendra; Christopher Clarke; Lingjia Tang; Jason Mars (CoRR, 2022)

Label Agnostic Pre-training for Zero-shot Text Classification. - Christopher Clarke; Yuzhao Heng; Yiping Kang; Krisztián Flautner; Lingjia Tang; Jason Mars (ACL (Findings), 2023)

The Jaseci Programming Paradigm and Runtime Stack: Building Scale-Out Production Applications Easy and Fast. - Jason Mars; Yiping Kang; Roland Daynauth; Baichuan Li; Ashish Mahendra; Krisztián Flautner; Lingjia Tang (IEEE Comput. Archit. Lett., 2023)

Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's GPT-4 with Self-Hosted Open Source SLMs in Production. - Chandra Irugalbandara; Ashish Mahendra; Roland Daynauth; Tharuka Kasthuri Arachchige; Krisztián Flautner; Lingjia Tang; Yiping Kang; Jason Mars (CoRR, 2023)

Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production. - Chandra Irugalbandara; Ashish Mahendra; Roland Daynauth; Tharuka Kasthuri Arachchige; Jayanaka L. Dantanarayana; Krisztián Flautner; Lingjia Tang; Yiping Kang; Jason Mars (ISPASS, 2024)

One Agent Too Many: User Perspectives on Approaches to Multi-agent Conversational AI. - Christopher Clarke; Karthik Krishnamurthy; Walter Talamonti; Yiping Kang; Lingjia Tang; Jason Mars (CoRR, 2024)

LLMs are Meaning-Typed Code Constructs. - Jason Mars; Yiping Kang; Jayanaka L. Dantanarayana; Chandra Irugalbandara; Kugesan Sivasothynathan; Lingjia Tang (CoRR, 2024)

PEFT-U: Parameter-Efficient Fine-Tuning for User Personalization. - Christopher Clarke; Yuzhao Heng; Lingjia Tang; Jason Mars (CoRR, 2024)

A Graph-Based Approach for Conversational AI-Driven Personal Memory Capture and Retrieval in a Real-world Application. - Savini Kashmira; Jayanaka L. Dantanarayana; Joshua Brodsky; Ashish Mahendra; Yiping Kang; Krisztián Flautner; Lingjia Tang; Jason Mars (CoRR, 2024)

Ranking Unraveled: Recipes for LLM Rankings in Head-to-Head AI Combat. - Roland Daynauth; Christopher Clarke; Krisztián Flautner; Lingjia Tang; Jason Mars (ACL (1), 2025)

SLMEval: Entropy-Based Calibration for Human-Aligned Evaluation of Large Language Models. - Roland Daynauth; Christopher Clarke; Krisztián Flautner; Lingjia Tang; Jason Mars (CoRR, 2025)

GraphRunner: A Multi-Stage Framework for Efficient and Accurate Graph-Based Retrieval. - Savini Kashmira; Jayanaka L. Dantanarayana; Krisztián Flautner; Lingjia Tang; Jason Mars (CoRR, 2025)