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Journal Articles
- 2023
[j10]Jason Mars
, Yiping Kang, Roland Daynauth, Baichuan Li, Ashish Mahendra, Krisztián Flautner, Lingjia Tang:
The Jaseci Programming Paradigm and Runtime Stack: Building Scale-Out Production Applications Easy and Fast. IEEE Comput. Archit. Lett. 22(2): 101-104 (2023)- 2019
- [j9]Ram Srivatsa Kannan, Michael Laurenzano, Jeongseob Ahn, Jason Mars, Lingjia Tang:
Caliper: Interference Estimator for Multi-tenant Environments Sharing Architectural Resources. ACM Trans. Archit. Code Optim. 16(3): 22:1-22:25 (2019) - 2017
- [j8]Matt Skach, Manish Arora, Chang-Hong Hsu, Qi Li, Dean M. Tullsen, Lingjia Tang, Jason Mars:
Thermal Time Shifting: Decreasing Data Center Cooling Costs with Phase-Change Materials. IEEE Internet Comput. 21(4): 34-43 (2017) - [j7]Chang-Hong Hsu, Yunqi Zhang, Michael A. Laurenzano, David Meisner, Thomas F. Wenisch, Ronald G. Dreslinski, Jason Mars, Lingjia Tang:
Reining in Long Tails in Warehouse-Scale Computers with Quick Voltage Boosting Using Adrenaline. ACM Trans. Comput. Syst. 35(1): 2:1-2:33 (2017) - 2016
- [j6]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:
Sirius Implications for Future Warehouse-Scale Computers. IEEE Micro 36(3): 42-53 (2016) - [j5]Johann Hauswald, Michael A. Laurenzano, Yunqi Zhang, Hailong Yang, Yiping Kang, Cheng Li, Austin Rovinski, Arjun Khurana, Ronald G. Dreslinski, Trevor N. Mudge, Vinicius Petrucci, Lingjia Tang, Jason Mars:
Designing Future Warehouse-Scale Computers for Sirius, an End-to-End Voice and Vision Personal Assistant. ACM Trans. Comput. Syst. 34(1): 2:1-2:32 (2016) - 2014
- [j4]Alex D. Breslow, Ananta Tiwari, Martin Schulz, Laura Carrington, Lingjia Tang, Jason Mars:
Enabling fair pricing on high performance computer systems with node sharing. Sci. Program. 22(2): 59-74 (2014) - 2013
- [j3]Jason Mars, Lingjia Tang:
Understanding Application Contentiousness and Sensitivity on Modern Multicores. Adv. Comput. 91: 59-85 (2013) - 2012
- [j2]Jason Mars, Lingjia Tang, Kevin Skadron, Mary Lou Soffa, Robert Hundt:
Increasing Utilization in Modern Warehouse-Scale Computers Using Bubble-Up. IEEE Micro 32(3): 88-99 (2012) - 2011
- [j1]Jason Mars, Lingjia Tang, Robert Hundt:
Heterogeneity in "Homogeneous" Warehouse-Scale Computers: A Performance Opportunity. IEEE Comput. Archit. Lett. 10(2): 29-32 (2011)
Conference and Workshop Papers
- 2024
- [c47]Chandra Irugalbandara, Ashish Mahendra, Roland Daynauth, Tharuka Kasthuri Arachchige, Jayanaka Dantanarayana, Krisztián Flautner, Lingjia Tang, Yiping Kang, Jason Mars:
Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production. ISPASS 2024: 280-291 - 2023
- [c46]Christopher Clarke, Yuzhao Heng, Yiping Kang, Krisztián Flautner, Lingjia Tang, Jason Mars:
Label Agnostic Pre-training for Zero-shot Text Classification. ACL (Findings) 2023: 1009-1021 - 2022
- [c45]Christopher Clarke, Joseph Peper, Karthik Krishnamurthy, Walter Talamonti, Kevin Leach, Walter S. Lasecki, Yiping Kang, Lingjia Tang, Jason Mars:
One Agent To Rule Them All: Towards Multi-agent Conversational AI. ACL (Findings) 2022: 3258-3267 - 2020
- [c44]Tianyi Liu, Sen He, Sunzhou Huang, Danny H. K. Tsang, Lingjia Tang, Jason Mars, Wei Wang:
A Benchmarking Framework for Interactive 3D Applications in the Cloud. MICRO 2020: 881-894 - 2019
- [c43]Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars:
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. EMNLP/IJCNLP (1) 2019: 1311-1316 - [c42]Ram Srivatsa Kannan, Lavanya Subramanian, Ashwin Raju, Jeongseob Ahn, Jason Mars, Lingjia Tang:
GrandSLAm: Guaranteeing SLAs for Jobs in Microservices Execution Frameworks. EuroSys 2019: 34:1-34:16 - [c41]Manish Arora, Matt Skach, Wei Huang, Xudong An, Jason Mars, Lingjia Tang, Dean M. Tullsen:
Understanding the Impact of Socket Density in Density Optimized Servers. HPCA 2019: 687-700 - [c40]Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars:
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. NAACL-HLT (1) 2019: 517-527 - 2018
- [c39]Animesh Jain, Michael A. Laurenzano, Gilles A. Pokam, Jason Mars, Lingjia Tang:
Architectural support for convolutional neural networks on modern CPUs. PACT 2018: 16:1-16:13 - [c38]Chang-Hong Hsu, Qingyuan Deng, Jason Mars, Lingjia Tang:
SmoothOperator: Reducing Power Fragmentation and Improving Power Utilization in Large-scale Datacenters. ASPLOS 2018: 535-548 - [c37]Shih-Chieh Lin, Yunqi Zhang, Chang-Hong Hsu, Matt Skach, Md. Enamul Haque, Lingjia Tang, Jason Mars:
The Architectural Implications of Autonomous Driving: Constraints and Acceleration. ASPLOS 2018: 751-766 - [c36]Matt Skach, Manish Arora, Dean M. Tullsen, Lingjia Tang, Jason Mars:
Virtual Melting Temperature: Managing Server Load to Minimize Cooling Overhead with Phase Change Materials. ISCA 2018: 15-28 - [c35]Animesh Jain, Amar Phanishayee, Jason Mars, Lingjia Tang, Gennady Pekhimenko:
Gist: Efficient Data Encoding for Deep Neural Network Training. ISCA 2018: 776-789 - [c34]Ram Srivatsa Kannan, Animesh Jain, Michael A. Laurenzano, Lingjia Tang, Jason Mars:
Proctor: Detecting and Investigating Interference in Shared Datacenters. ISPASS 2018: 76-86 - [c33]Yiping Kang, Yunqi Zhang, Jonathan K. Kummerfeld, Lingjia Tang, Jason Mars:
Data Collection for Dialogue System: A Startup Perspective. NAACL-HLT (3) 2018: 33-40 - [c32]Shih-Chieh Lin, Chang-Hong Hsu, Walter Talamonti, Yunqi Zhang, Steve Oney, Jason Mars, Lingjia Tang:
Adasa: A Conversational In-Vehicle Digital Assistant for Advanced Driver Assistance Features. UIST 2018: 531-542 - 2017
- [c31]Quan Chen, Hailong Yang, Minyi Guo, Ram Srivatsa Kannan, Jason Mars, Lingjia Tang:
Prophet: Precise QoS Prediction on Non-Preemptive Accelerators to Improve Utilization in Warehouse-Scale Computers. ASPLOS 2017: 17-32 - [c30]Yiping Kang, Johann Hauswald, Cao Gao, Austin Rovinski, Trevor N. Mudge, Jason Mars, Lingjia Tang:
Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge. ASPLOS 2017: 615-629 - [c29]Hailong Yang, Quan Chen, Moeiz Riaz, Zhongzhi Luan, Lingjia Tang, Jason Mars:
PowerChief: Intelligent Power Allocation for Multi-Stage Applications to Improve Responsiveness on Power Constrained CMP. ISCA 2017: 133-146 - [c28]Parker Hill, Animesh Jain, Mason Hill, Babak Zamirai, Chang-Hong Hsu, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars:
DeftNN: addressing bottlenecks for DNN execution on GPUs via synapse vector elimination and near-compute data fission. MICRO 2017: 786-799 - 2016
- [c27]Quan Chen, Hailong Yang, Jason Mars, Lingjia Tang:
Baymax: QoS Awareness and Increased Utilization for Non-Preemptive Accelerators in Warehouse Scale Computers. ASPLOS 2016: 681-696 - [c26]Michael A. Laurenzano, Yunqi Zhang, Jiang Chen, Lingjia Tang, Jason Mars:
PowerChop: Identifying and Managing Non-critical Units in Hybrid Processor Architectures. ISCA 2016: 140-152 - [c25]Yunqi Zhang, David Meisner, Jason Mars, Lingjia Tang:
Treadmill: Attributing the Source of Tail Latency through Precise Load Testing and Statistical Inference. ISCA 2016: 456-468 - [c24]Animesh Jain, Michael A. Laurenzano, Lingjia Tang, Jason Mars:
Continuous shape shifting: Enabling loop co-optimization via near-free dynamic code rewriting. MICRO 2016: 23:1-23:12 - [c23]Stephen Zekany, Daniel Rings, Nathan Harada, Michael A. Laurenzano, Lingjia Tang, Jason Mars:
CrystalBall: Statically analyzing runtime behavior via deep sequence learning. MICRO 2016: 24:1-24:12 - [c22]Animesh Jain, Parker Hill, Shih-Chieh Lin, Muneeb Khan, Md. Enamul Haque, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars:
Concise loads and stores: The case for an asymmetric compute-memory architecture for approximation. MICRO 2016: 41:1-41:13 - [c21]Michael A. Laurenzano, Parker Hill, Mehrzad Samadi, Scott A. Mahlke, Jason Mars, Lingjia Tang:
Input responsiveness: using canary inputs to dynamically steer approximation. PLDI 2016: 161-176 - 2015
- [c20]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:
Sirius: An Open End-to-End Voice and Vision Personal Assistant and Its Implications for Future Warehouse Scale Computers. ASPLOS 2015: 223-238 - [c19]Vinicius Petrucci, Michael A. Laurenzano, John Doherty, Yunqi Zhang, Daniel Mossé, Jason Mars, Lingjia Tang:
Octopus-Man: QoS-driven task management for heterogeneous multicores in warehouse-scale computers. HPCA 2015: 246-258 - [c18]Chang-Hong Hsu, Yunqi Zhang, Michael A. Laurenzano, David Meisner, Thomas F. Wenisch, Jason Mars, Lingjia Tang, Ronald G. Dreslinski:
Adrenaline: Pinpointing and reining in tail queries with quick voltage boosting. HPCA 2015: 271-282 - [c17]Johann Hauswald, Yiping Kang, Michael A. Laurenzano, Quan Chen, Cheng Li, Trevor N. Mudge, Ronald G. Dreslinski, Jason Mars, Lingjia Tang:
DjiNN and Tonic: DNN as a service and its implications for future warehouse scale computers. ISCA 2015: 27-40 - [c16]Matt Skach, Manish Arora, Chang-Hong Hsu, Qi Li, Dean M. Tullsen, Lingjia Tang, Jason Mars:
Thermal time shifting: leveraging phase change materials to reduce cooling costs in warehouse-scale computers. ISCA 2015: 439-449 - 2014
- [c15]Yunqi Zhang, Michael A. Laurenzano, Jason Mars, Lingjia Tang:
SMiTe: Precise QoS Prediction on Real-System SMT Processors to Improve Utilization in Warehouse Scale Computers. MICRO 2014: 406-418 - [c14]Michael A. Laurenzano, Yunqi Zhang, Lingjia Tang, Jason Mars:
Protean Code: Achieving Near-Free Online Code Transformations for Warehouse Scale Computers. MICRO 2014: 558-570 - [c13]Yan Zhai, Xiao Zhang, Stéphane Eranian, Lingjia Tang, Jason Mars:
HaPPy: Hyperthread-aware Power Profiling Dynamically. USENIX ATC 2014: 211-217 - 2013
- [c12]Lingjia Tang, Jason Mars, Wei Wang, Tanima Dey, Mary Lou Soffa:
ReQoS: reactive static/dynamic compilation for QoS in warehouse scale computers. ASPLOS 2013: 89-100 - [c11]Lingjia Tang, Jason Mars, Xiao Zhang, Robert Hagmann, Robert Hundt, Eric Tune:
Optimizing Google's warehouse scale computers: The NUMA experience. HPCA 2013: 188-197 - [c10]Hailong Yang, Alex D. Breslow, Jason Mars, Lingjia Tang:
Bubble-flux: precise online QoS management for increased utilization in warehouse scale computers. ISCA 2013: 607-618 - [c9]Jason Mars, Lingjia Tang:
Whare-map: heterogeneity in "homogeneous" warehouse-scale computers. ISCA 2013: 619-630 - [c8]Alex D. Breslow, Ananta Tiwari, Martin Schulz, Laura Carrington, Lingjia Tang, Jason Mars:
Enabling fair pricing on HPC systems with node sharing. SC 2013: 37:1-37:12 - 2012
- [c7]Lingjia Tang, Jason Mars, Mary Lou Soffa:
Compiling for niceness: mitigating contention for QoS in warehouse scale computers. CGO 2012: 1-12 - [c6]Wei Wang, Tanima Dey, Jason Mars, Lingjia Tang, Jack W. Davidson, Mary Lou Soffa:
Performance analysis of thread mappings with a holistic view of the hardware resources. ISPASS 2012: 156-167 - 2011
- [c5]Jason Mars, Lingjia Tang, Mary Lou Soffa:
Directly characterizing cross core interference through contention synthesis. HiPEAC 2011: 167-176 - [c4]Lingjia Tang, Jason Mars, Neil Vachharajani, Robert Hundt, Mary Lou Soffa:
The impact of memory subsystem resource sharing on datacenter applications. ISCA 2011: 283-294 - [c3]Jason Mars, Lingjia Tang, Robert Hundt, Kevin Skadron, Mary Lou Soffa:
Bubble-Up: increasing utilization in modern warehouse scale computers via sensible co-locations. MICRO 2011: 248-259 - 2007
- [c2]Ross Gore, Paul F. Reynolds Jr., Lingjia Tang, David C. Brogan:
Explanation Exploration: Exploring Emergent Behavior. PADS 2007: 113-122 - [c1]Lingjia Tang, Paul F. Reynolds Jr.:
Agile optimization for coercion. WSC 2007: 900-909
Editorship
- 2022
- [e2]Valentina Salapura, Mohamed Zahran, Fred Chong, Lingjia Tang:
ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18 - 22, 2022. ACM 2022, ISBN 978-1-4503-8610-4 [contents] - 2017
- [e1]Vijay Janapa Reddi, Aaron Smith, Lingjia Tang:
Proceedings of the 2017 International Symposium on Code Generation and Optimization, CGO 2017, Austin, TX, USA, February 4-8, 2017. ACM 2017, ISBN 978-1-5090-4931-8 [contents]
Informal and Other Publications
- 2024
- [i12]Christopher Clarke, Karthik Krishnamurthy, Walter Talamonti, Yiping Kang, Lingjia Tang, Jason Mars:
One Agent Too Many: User Perspectives on Approaches to Multi-agent Conversational AI. CoRR abs/2401.07123 (2024) - [i11]Jason Mars, Yiping Kang, Jayanaka Dantanarayana, Chandra Irugalbandara, Kugesan Sivasothynathan, Lingjia Tang:
LLMs are Meaning-Typed Code Constructs. CoRR abs/2405.08965 (2024) - [i10]Christopher Clarke, Yuzhao Heng, Lingjia Tang, Jason Mars:
PEFT-U: Parameter-Efficient Fine-Tuning for User Personalization. CoRR abs/2407.18078 (2024) - 2023
- [i9]Jason Mars, Yiping Kang, Roland Daynauth, Baichuan Li, Ashish Mahendra, Krisztián Flautner, Lingjia Tang:
The Jaseci Programming Paradigm and Runtime Stack: Building Scale-out Production Applications Easy and Fast. CoRR abs/2305.09864 (2023) - [i8]Christopher Clarke, Yuzhao Heng, Yiping Kang, Krisztián Flautner, Lingjia Tang, Jason Mars:
Label Agnostic Pre-training for Zero-shot Text Classification. CoRR abs/2305.16521 (2023) - [i7]Chandra Irugalbandara, Ashish Mahendra, Roland Daynauth, Tharuka Kasthuri Arachchige, Krisztián 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. CoRR abs/2312.14972 (2023) - 2022
- [i6]Yiping Kang, Ashish Mahendra, Christopher Clarke, Lingjia Tang, Jason Mars:
Towards Personalized Intelligence at Scale. CoRR abs/2203.06668 (2022) - [i5]Christopher Clarke, Joseph Joshua Peper, Karthik Krishnamurthy, Walter Talamonti, Kevin Leach, Walter S. Lasecki, Yiping Kang, Lingjia Tang, Jason Mars:
One Agent To Rule Them All: Towards Multi-agent Conversational AI. CoRR abs/2203.07665 (2022) - 2020
- [i4]Tianyi Liu, Sen He, Sunzhou Huang, Danny H. K. Tsang, Lingjia Tang, Jason Mars, Wei Wang:
A Benchmarking Framework for Interactive 3D Applications in the Cloud. CoRR abs/2006.13378 (2020) - 2019
- [i3]Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars:
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. CoRR abs/1904.03122 (2019) - [i2]Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars:
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. CoRR abs/1909.02027 (2019) - 2018
- [i1]Parker Hill, Babak Zamirai, Shengshuo Lu, Yu-Wei Chao, Michael Laurenzano, Mehrzad Samadi, Marios C. Papaefthymiou, Scott A. Mahlke, Thomas F. Wenisch, Jia Deng, Lingjia Tang, Jason Mars:
Rethinking Numerical Representations for Deep Neural Networks. CoRR abs/1808.02513 (2018)
Coauthor Index
Michael Laurenzano
aka: Michael A. Laurenzano
aka: Michael A. Laurenzano
[j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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