Michael A. Laurenzano

Publication Activity (10 Years)

Years Active: 2014-2019
Publications (10 Years): 17

Top Topics

Detecting Outliers

Top Venues

ACM Trans. Comput. Syst.

Publications

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)
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 (2019)
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 (2019)
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)
Animesh Jain, Michael A. Laurenzano, Gilles A. Pokam, Jason Mars, Lingjia Tang
Architectural support for convolutional neural networks on modern CPUs. PACT (2018)
Ram Srivatsa Kannan, Animesh Jain, Michael A. Laurenzano, Lingjia Tang, Jason Mars
Proctor: Detecting and Investigating Interference in Shared Datacenters. ISPASS (2018)
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) (2017)
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)
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)
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) (2016)
Animesh Jain, Michael A. Laurenzano, Lingjia Tang, Jason Mars
Continuous shape shifting: Enabling loop co-optimization via near-free dynamic code rewriting. MICRO (2016)
Stephen Zekany, Daniel Rings, Nathan Harada, Michael A. Laurenzano, Lingjia Tang, Jason Mars
CrystalBall: Statically analyzing runtime behavior via deep sequence learning. MICRO (2016)
Soohyun Nam Liao, Daniel Zingaro, Michael A. Laurenzano, William G. Griswold, Leo Porter
Lightweight, Early Identification of At-Risk CS1 Students. ICER (2016)
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) (2016)
Michael A. Laurenzano, Ananta Tiwari, Allyson Cauble-Chantrenne, Adam Jundt, William A. Ward Jr., Roy L. Campbell, Laura Carrington
Characterization and bottleneck analysis of a 64-bit ARMv8 platform. ISPASS (2016)
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)
Michael A. Laurenzano, Yunqi Zhang, Jiang Chen, Lingjia Tang, Jason Mars
PowerChop: Identifying and Managing Non-critical Units in Hybrid Processor Architectures. ISCA (2016)
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)
Michael A. Laurenzano, Joshua Peraza, Laura Carrington, Ananta Tiwari, William A. Ward Jr., Roy L. Campbell
PEBIL: binary instrumentation for practical data-intensive program analysis. Clust. Comput. 18 (1) (2015)
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)
Muneeb Khan, Michael A. Laurenzano, Jason Mars, Erik Hagersten, David Black-Schaffer
AREP: Adaptive Resource Efficient Prefetching for Maximizing Multicore Performance. PACT (2015)
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)
Adam Jundt, Allyson Cauble-Chantrenne, Ananta Tiwari, Joshua Peraza, Michael A. Laurenzano, Laura Carrington
Compute bottlenecks on the new 64-bit ARM. E2SC@SC (2015)
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)
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)
Michael A. Laurenzano, Yunqi Zhang, Lingjia Tang, Jason Mars
Protean Code: Achieving Near-Free Online Code Transformations for Warehouse Scale Computers. MICRO (2014)
Ananta Tiwari, Anthony Gamst, Michael A. Laurenzano, Martin Schulz, Laura Carrington
Modeling the Impact of Reduced Memory Bandwidth on HPC Applications. Euro-Par (2014)
Leo Porter, Michael A. Laurenzano, Ananta Tiwari, Adam Jundt, William A. Ward Jr., Roy L. Campbell, Laura Carrington
Making the Most of SMT in HPC: System- and Application-Level Perspectives. ACM Trans. Archit. Code Optim. 11 (4) (2014)
Michael A. Laurenzano, Ananta Tiwari, Adam Jundt, Joshua Peraza, William A. Ward Jr., Roy L. Campbell, Laura Carrington
Characterizing the Performance-Energy Tradeoff of Small ARM Cores in HPC Computation. Euro-Par (2014)