How Well Can Simple Metrics Represent the Performance of HPC Applications? - Laura Carrington; Michael Laurenzano; Allan Snavely; Roy L. Campbell; Larry P. Davis (SC, 2005)

Low cost trace-driven memory simulation using SimPoint. - Michael Laurenzano; Beth Simon; Allan Snavely; Meghan Gunn (SIGARCH Comput. Archit. News, 2005)

High-frequency simulations of global seismic wave propagation using SPECFEM3D_GLOBE on 62K processors. - Laura Carrington; Dimitri Komatitsch; Michael Laurenzano; Mustafa M. Tikir; David Michéa; Nicolas Le Goff; Allan Snavely; Jeroen Tromp (SC, 2008)

PSINS: An Open Source Event Tracer and Execution Simulator for MPI Applications. - Mustafa M. Tikir; Michael Laurenzano; Laura Carrington; Allan Snavely (Euro-Par, 2009)

PEBIL: Efficient static binary instrumentation for Linux. - Michael Laurenzano; Mustafa M. Tikir; Laura Carrington; Allan Snavely (ISPASS, 2010)

Reducing Energy Usage with Memory and Computation-Aware Dynamic Frequency Scaling. - Michael Laurenzano; Mitesh R. Meswani; Laura Carrington; Allan Snavely; Mustafa M. Tikir; Stephen Poole 001 (Euro-Par (1), 2011)

Auto-tuning for Energy Usage in Scientific Applications. - Ananta Tiwari; Michael Laurenzano; Laura Carrington; Allan Snavely (Euro-Par Workshops (2), 2011)

An idiom-finding tool for increasing productivity of accelerators. - Laura Carrington; Mustafa M. Tikir; Catherine Olschanowsky; Michael Laurenzano; Joshua Peraza; Allan Snavely; Stephen Poole 001 (ICS, 2011)

Green Queue: Customized Large-Scale Clock Frequency Scaling. - Ananta Tiwari; Michael Laurenzano; Joshua Peraza; Laura Carrington; Allan Snavely (CGC, 2012)

Modeling Power and Energy Usage of HPC Kernels. - Ananta Tiwari; Michael Laurenzano; Laura Carrington; Allan Snavely (IPDPS Workshops, 2012)

A Static Binary Instrumentation Threading Model for Fast Memory Trace Collection. - Michael Laurenzano; Joshua Peraza; Laura Carrington; Ananta Tiwari; William A. Ward Jr.; Roy L. Campbell (SC Companion, 2012)

Efficient HPC Data Motion via Scratchpad Memory. - Kayla O. Seager; Ananta Tiwari; Michael Laurenzano; Joshua Peraza; Pietro Cicotti; Laura Carrington (SC Companion, 2012)

Understanding the performance of stencil computations on Intel's Xeon Phi. - Joshua Peraza; Ananta Tiwari; Michael Laurenzano; Laura Carrington; William A. Ward Jr.; Roy L. Campbell (CLUSTER, 2013)

Inferring Large-Scale Computation Behavior via Trace Extrapolation. - Laura Carrington; Michael Laurenzano; Ananta Tiwari (IPDPS Workshops, 2013)

Characterizing Large-Scale HPC Applications through Trace extrapolation. - Laura Carrington; Michael Laurenzano; Ananta Tiwari (Parallel Process. Lett., 2013)

Characterizing the Performance-Energy Tradeoff of Small ARM Cores in HPC Computation. - Michael A. Laurenzano; Ananta Tiwari; Adam Jundt; Joshua Peraza; William A. Ward Jr.; Roy L. Campbell; Laura Carrington (Euro-Par, 2014)

Modeling the Impact of Reduced Memory Bandwidth on HPC Applications. - Ananta Tiwari; Anthony Gamst; Michael A. Laurenzano; Martin Schulz 001; Laura Carrington (Euro-Par, 2014)

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)

Making the Most of SMT in HPC: System- and Application-Level Perspectives. - Leo Porter 001; Michael A. Laurenzano; Ananta Tiwari; Adam Jundt; William A. Ward Jr.; Roy L. Campbell; Laura Carrington (ACM Trans. Archit. Code Optim., 2014)

AREP: Adaptive Resource Efficient Prefetching for Maximizing Multicore Performance. - Muneeb Khan; Michael A. Laurenzano; Jason Mars; Erik Hagersten; David Black-Schaffer (PACT, 2015)

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)

Compute bottlenecks on the new 64-bit ARM. - Adam Jundt; Allyson Cauble-Chantrenne; Ananta Tiwari; Joshua Peraza; Michael A. Laurenzano; Laura Carrington (E2SC@SC, 2015)

Performance and energy efficiency analysis of 64-bit ARM using GAMESS. - Ananta Tiwari; Kristopher Keipert; Adam Jundt; Joshua Peraza; Sarom S. Leang; Michael Laurenzano; Mark S. Gordon; Laura Carrington (Co-HPC@SC, 2015)

PEBIL: binary instrumentation for practical data-intensive program analysis. - Michael A. Laurenzano; Joshua Peraza; Laura Carrington; Ananta Tiwari; William A. Ward Jr.; Roy L. Campbell (Clust. Comput., 2015)

Lightweight, Early Identification of At-Risk CS1 Students. - Soohyun Nam Liao; Daniel Zingaro; Michael A. Laurenzano; William G. Griswold; Leo Porter 001 (ICER, 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)

Characterization and bottleneck analysis of a 64-bit ARMv8 platform. - Michael A. Laurenzano; Ananta Tiwari; Allyson Cauble-Chantrenne; Adam Jundt; William A. Ward Jr.; Roy L. Campbell; Laura Carrington (ISPASS, 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)

The case for colocation of high performance computing workloads. - Alex D. Breslow; Leo Porter 001; Ananta Tiwari; Michael Laurenzano; Laura Carrington; Dean M. Tullsen; Allan Snavely (Concurr. Comput. Pract. Exp., 2016)

PMaC's green queue: a framework for selecting energy optimal DVFS configurations in large scale MPI applications. - Joshua Peraza; Ananta Tiwari; Michael Laurenzano; Laura Carrington; Allan Snavely (Concurr. Comput. Pract. Exp., 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)

Low-overhead Online Code Transformations. - Michael Laurenzano (2016)

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)

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)

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

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)