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ORCIDMichael Laurenzano
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2010 – 2019
- 2019
[j10]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)- [c36]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 - [c35]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 - [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
- [c34]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 - [c33]Ram Srivatsa Kannan, Animesh Jain, Michael A. Laurenzano, Lingjia Tang, Jason Mars:
Proctor: Detecting and Investigating Interference in Shared Datacenters. ISPASS 2018: 76-86 - [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) - 2017
- [j9]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) - [c32]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
- [b1]Michael Laurenzano:
Low-overhead Online Code Transformations. University of Michigan, USA, 2016 - [j8]Joshua Peraza, Ananta Tiwari, Michael Laurenzano, Laura Carrington, Allan Snavely:
PMaC's green queue: a framework for selecting energy optimal DVFS configurations in large scale MPI applications. Concurr. Comput. Pract. Exp. 28(2): 211-231 (2016) - [j7]Alex D. Breslow, Leo Porter, Ananta Tiwari, Michael Laurenzano, Laura Carrington, Dean M. Tullsen, Allan Snavely:
The case for colocation of high performance computing workloads. Concurr. Comput. Pract. Exp. 28(2): 232-251 (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) - [c31]Soohyun Nam Liao, Daniel Zingaro, Michael A. Laurenzano, William G. Griswold, Leo Porter:
Lightweight, Early Identification of At-Risk CS1 Students. ICER 2016: 123-131 - [c30]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 - [c29]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: 36-45 - [c28]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 - [c27]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 - [c26]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 - [c25]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
- [j4]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): 1-14 (2015) - [c24]Muneeb Khan, Michael A. Laurenzano, Jason Mars, Erik Hagersten, David Black-Schaffer:
AREP: Adaptive Resource Efficient Prefetching for Maximizing Multicore Performance. PACT 2015: 367-378 - [c23]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 - [c22]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 - [c21]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 - [c20]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 - [c19]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: 6:1-6:7 - [c18]Ananta Tiwari, Kristopher Keipert, Adam Jundt, Joshua Peraza, Sarom S. Leang, Michael Laurenzano, Mark S. Gordon, Laura Carrington:
Performance and energy efficiency analysis of 64-bit ARM using GAMESS. Co-HPC@SC 2015: 8:1-8:10 - 2014
- [j3]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): 59:1-59:26 (2014) - [c17]Ananta Tiwari, Anthony Gamst, Michael A. Laurenzano, Martin Schulz, Laura Carrington:
Modeling the Impact of Reduced Memory Bandwidth on HPC Applications. Euro-Par 2014: 63-74 - [c16]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: 124-137 - [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 - 2013
- [j2]Laura Carrington, Michael Laurenzano, Ananta Tiwari:
Characterizing Large-Scale HPC Applications through Trace extrapolation. Parallel Process. Lett. 23(4) (2013) - [c13]Joshua Peraza, Ananta Tiwari, Michael Laurenzano, Laura Carrington, William A. Ward Jr., Roy L. Campbell:
Understanding the performance of stencil computations on Intel's Xeon Phi. CLUSTER 2013: 1-5 - [c12]Laura Carrington, Michael Laurenzano, Ananta Tiwari:
Inferring Large-Scale Computation Behavior via Trace Extrapolation. IPDPS Workshops 2013: 1667-1674 - 2012
- [c11]Ananta Tiwari, Michael Laurenzano, Joshua Peraza, Laura Carrington, Allan Snavely:
Green Queue: Customized Large-Scale Clock Frequency Scaling. CGC 2012: 260-267 - [c10]Ananta Tiwari, Michael Laurenzano, Laura Carrington, Allan Snavely:
Modeling Power and Energy Usage of HPC Kernels. IPDPS Workshops 2012: 990-998 - [c9]Michael Laurenzano, Joshua Peraza, Laura Carrington, Ananta Tiwari, William A. Ward Jr., Roy L. Campbell:
A Static Binary Instrumentation Threading Model for Fast Memory Trace Collection. SC Companion 2012: 741-745 - [c8]Kayla O. Seager, Ananta Tiwari, Michael Laurenzano, Joshua Peraza, Pietro Cicotti, Laura Carrington:
Efficient HPC Data Motion via Scratchpad Memory. SC Companion 2012: 801-805 - 2011
- [c7]Michael Laurenzano, Mitesh R. Meswani, Laura Carrington, Allan Snavely, Mustafa M. Tikir, Stephen Poole:
Reducing Energy Usage with Memory and Computation-Aware Dynamic Frequency Scaling. Euro-Par (1) 2011: 79-90 - [c6]Ananta Tiwari, Michael Laurenzano, Laura Carrington, Allan Snavely:
Auto-tuning for Energy Usage in Scientific Applications. Euro-Par Workshops (2) 2011: 178-187 - [c5]Laura Carrington, Mustafa M. Tikir, Catherine Olschanowsky, Michael Laurenzano, Joshua Peraza, Allan Snavely, Stephen Poole:
An idiom-finding tool for increasing productivity of accelerators. ICS 2011: 202-212 - 2010
- [c4]Michael Laurenzano, Mustafa M. Tikir, Laura Carrington, Allan Snavely:
PEBIL: Efficient static binary instrumentation for Linux. ISPASS 2010: 175-183
2000 – 2009
- 2009
- [c3]Mustafa M. Tikir, Michael Laurenzano, Laura Carrington, Allan Snavely:
PSINS: An Open Source Event Tracer and Execution Simulator for MPI Applications. Euro-Par 2009: 135-148 - 2008
- [c2]Laura Carrington, Dimitri Komatitsch, Michael Laurenzano, Mustafa M. Tikir, David Michéa, Nicolas Le Goff, Allan Snavely, Jeroen Tromp:
High-frequency simulations of global seismic wave propagation using SPECFEM3D_GLOBE on 62K processors. SC 2008: 60 - 2005
- [j1]Michael Laurenzano, Beth Simon, Allan Snavely, Meghan Gunn:
Low cost trace-driven memory simulation using SimPoint. SIGARCH Comput. Archit. News 33(5): 81-86 (2005) - [c1]Laura Carrington, Michael Laurenzano, Allan Snavely, Roy L. Campbell, Larry P. Davis:
How Well Can Simple Metrics Represent the Performance of HPC Applications? SC 2005: 48
Coauthor Index
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