Michael A. Laurenzano

30 papers A* 12A 1B 4Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adviser: An Intuitive Multi-Cloud Platform for Scientific and ML Workflows. CoRR Shihan Cheng, Michael A. Laurenzano, Brian Strauch, Timothy A. Ellis, Krish Wadhwani, David A. B. Hyde
2019	—	`conf`	An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. EMNLP/IJCNLP (1) 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
2019	J	`jnl`	An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. CoRR 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
2019	—	`conf`	Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. NAACL-HLT (1) Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars
2019	J	`jnl`	Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. CoRR Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars
2018	B	`conf`	Architectural support for convolutional neural networks on modern CPUs. PACT Animesh Jain, Michael A. Laurenzano, Gilles A. Pokam, Jason Mars, Lingjia Tang
2018	B	`conf`	Proctor: Detecting and Investigating Interference in Shared Datacenters. ISPASS Ram Srivatsa Kannan, Animesh Jain, Michael A. Laurenzano, Lingjia Tang, Jason Mars
2017	A*	`conf`	DeftNN: addressing bottlenecks for DNN execution on GPUs via synapse vector elimination and near-compute data fission. MICRO Parker Hill, Animesh Jain, Mason Hill, Babak Zamirai, Chang-Hong Hsu, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars
2017	J	`jnl`	Reining in Long Tails in Warehouse-Scale Computers with Quick Voltage Boosting Using Adrenaline. ACM Trans. Comput. Syst. Chang-Hong Hsu, Yunqi Zhang, Michael A. Laurenzano, David Meisner, Thomas F. Wenisch, Ronald G. Dreslinski, Jason Mars, Lingjia Tang
2016	B	`conf`	Characterization and bottleneck analysis of a 64-bit ARMv8 platform. ISPASS Michael A. Laurenzano, Ananta Tiwari, Allyson Cauble-Chantrenne, Adam Jundt, William A. Ward Jr., Roy L. Campbell, Laura Carrington
2016	A*	`conf`	Concise loads and stores: The case for an asymmetric compute-memory architecture for approximation. MICRO Animesh Jain, Parker Hill, Shih-Chieh Lin, Muneeb Khan, Md. Enamul Haque, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars
2016	A*	`conf`	Continuous shape shifting: Enabling loop co-optimization via near-free dynamic code rewriting. MICRO Animesh Jain, Michael A. Laurenzano, Lingjia Tang, Jason Mars
2016	A*	`conf`	CrystalBall: Statically analyzing runtime behavior via deep sequence learning. MICRO Stephen A. Zekany, Daniel Rings, Nathan Harada, Michael A. Laurenzano, Lingjia Tang, Jason Mars
2016	J	`jnl`	Designing Future Warehouse-Scale Computers for Sirius, an End-to-End Voice and Vision Personal Assistant. ACM Trans. Comput. Syst. 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
2016	A*	`conf`	Input responsiveness: using canary inputs to dynamically steer approximation. PLDI Michael A. Laurenzano, Parker Hill, Mehrzad Samadi, Scott A. Mahlke, Jason Mars, Lingjia Tang
2016	A	`conf`	Lightweight, Early Identification of At-Risk CS1 Students. ICER Soohyun Nam Liao, Daniel Zingaro, Michael A. Laurenzano, William G. Griswold, Leo Porter
2016	A*	`conf`	PowerChop: Identifying and Managing Non-critical Units in Hybrid Processor Architectures. ISCA Michael A. Laurenzano, Yunqi Zhang, Jiang Chen, Lingjia Tang, Jason Mars
2016	J	`jnl`	Sirius Implications for Future Warehouse-Scale Computers. IEEE Micro 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
2015	B	`conf`	AREP: Adaptive Resource Efficient Prefetching for Maximizing Multicore Performance. PACT Muneeb Khan, Michael A. Laurenzano, Jason Mars, Erik Hagersten, David Black-Schaffer
2015	A*	`conf`	Adrenaline: Pinpointing and reining in tail queries with quick voltage boosting. HPCA Chang-Hong Hsu, Yunqi Zhang, Michael A. Laurenzano, David Meisner, Thomas F. Wenisch, Jason Mars, Lingjia Tang, Ronald G. Dreslinski
2015	—	`conf`	Compute bottlenecks on the new 64-bit ARM. E2SC@SC Adam Jundt, Allyson Cauble-Chantrenne, Ananta Tiwari, Joshua Peraza, Michael A. Laurenzano, Laura Carrington
2015	A*	`conf`	DjiNN and Tonic: DNN as a service and its implications for future warehouse scale computers. ISCA Johann Hauswald, Yiping Kang, Michael A. Laurenzano, Quan Chen, Cheng Li, Trevor N. Mudge, Ronald G. Dreslinski, Jason Mars, Lingjia Tang
2015	A*	`conf`	Octopus-Man: QoS-driven task management for heterogeneous multicores in warehouse-scale computers. HPCA Vinicius Petrucci, Michael A. Laurenzano, John Doherty, Yunqi Zhang, Daniel Mossé, Jason Mars, Lingjia Tang
2015	J	`jnl`	PEBIL: binary instrumentation for practical data-intensive program analysis. Clust. Comput. Michael A. Laurenzano, Joshua Peraza, Laura Carrington, Ananta Tiwari, William A. Ward Jr., Roy L. Campbell
2015	A*	`conf`	Sirius: An Open End-to-End Voice and Vision Personal Assistant and Its Implications for Future Warehouse Scale Computers. ASPLOS 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
2014	—	`conf`	Characterizing the Performance-Energy Tradeoff of Small ARM Cores in HPC Computation. Euro-Par Michael A. Laurenzano, Ananta Tiwari, Adam Jundt, Joshua Peraza, William A. Ward Jr., Roy L. Campbell, Laura Carrington
2014	J	`jnl`	Making the Most of SMT in HPC: System- and Application-Level Perspectives. ACM Trans. Archit. Code Optim. Leo Porter, Michael A. Laurenzano, Ananta Tiwari, Adam Jundt, William A. Ward Jr., Roy L. Campbell, Laura Carrington
2014	—	`conf`	Modeling the Impact of Reduced Memory Bandwidth on HPC Applications. Euro-Par Ananta Tiwari, Anthony Gamst, Michael A. Laurenzano, Martin Schulz, Laura Carrington
2014	A*	`conf`	Protean Code: Achieving Near-Free Online Code Transformations for Warehouse Scale Computers. MICRO Michael A. Laurenzano, Yunqi Zhang, Lingjia Tang, Jason Mars
2014	A*	`conf`	SMiTe: Precise QoS Prediction on Real-System SMT Processors to Improve Utilization in Warehouse Scale Computers. MICRO Yunqi Zhang, Michael A. Laurenzano, Jason Mars, Lingjia Tang