Allan Snavely - researchr alias

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Viewing Publication 1 - 63 from 63

2016

The case for colocation of high performance computing workloadsAlex D. Breslow, Leo Porter, Ananta Tiwari, Michael Laurenzano, Laura Carrington, Dean M. Tullsen, Allan Snavely. concurrency, 28(2):232-251, 2016. [doi]

PMaC's green queue: a framework for selecting energy optimal DVFS configurations in large scale MPI applicationsJoshua Peraza, Ananta Tiwari, Michael Laurenzano, Laura Carrington, Allan Snavely. concurrency, 28(2):211-231, 2016. [doi]

2013

Modeling and predicting performance of high performance computing applications on hardware acceleratorsMitesh R. Meswani, Laura Carrington, Didem Unat, Allan Snavely, Scott B. Baden, Stephen Poole. ijhpca, 27(2):89-108, 2013. [doi]

2012

2011

An idiom-finding tool for increasing productivity of acceleratorsLaura Carrington, Mustafa M. Tikir, Catherine Olschanowsky, Michael Laurenzano, Joshua Peraza, Allan Snavely, Stephen Poole. ics 2011: 202-212 [doi]

10x10: A General-purpose Architectural Approach to Heterogeneity and Energy EfficiencyAndrew A. Chien, Allan Snavely, Mark Gahagan. procedia, 4:1987-1996, 2011. [doi]

Automatic Recognition of Performance Idioms in Scientific ApplicationsJiahua He, Allan Snavely, Rob F. Van der Wijngaart, Michael A. Frumkin. ipps 2011: 118-127 [doi]

Reducing Energy Usage with Memory and Computation-Aware Dynamic Frequency ScalingMichael Laurenzano, Mitesh R. Meswani, Laura Carrington, Allan Snavely, Mustafa M. Tikir, Stephen Poole. europar 2011: 79-90 [doi]

Modeling and predicting application performance on hardware acceleratorsMitesh R. Meswani, Laura Carrington, Didem Unat, Allan Snavely, Scott B. Baden, Stephen Poole. iiswc 2011: 73 [doi]

A tool for characterizing and succinctly representing the data access patterns of applicationsCatherine Mills Olschanowsky, Allan Snavely, Laura Carrington. iiswc 2011: 126-135 [doi]

Auto-tuning for Energy Usage in Scientific ApplicationsAnanta Tiwari, Michael Laurenzano, Laura Carrington, Allan Snavely. europar 2012: 178-187 [doi]

2010

Understanding the Impact of Emerging Non-Volatile Memories on High-Performance, IO-Intensive ComputingAdrian M. Caulfield, Joel Coburn, Todor Mollov, Arup De, Ameen Akel, Jiahua He, Arun Jagatheesan, Rajesh K. Gupta, Allan Snavely, Steven Swanson. sc 2010: 1-11 [doi]

DASH-IO: an empirical study of flash-based IO for HPCJiahua He, Jeffrey Bennett, Allan Snavely. tg 2010: [doi]

DASH: a Recipe for a Flash-based Data Intensive SupercomputerJiahua He, Arun Jagatheesan, Sandeep Gupta, Jeffrey Bennett, Allan Snavely. sc 2010: 1-11 [doi]

PEBIL: Efficient static binary instrumentation for LinuxMichael Laurenzano, Mustafa M. Tikir, Laura Carrington, Allan Snavely. ispass 2010: 175-183 [doi]

DashMichael L. Norman, Allan Snavely. tg 2010: [doi]

PIR: PMaC s Idiom RecognizerCatherine Olschanowsky, Allan Snavely, Mitesh R. Meswani, Laura Carrington. icppw 2010: 189-196 [doi]

2009

2008

High-frequency simulations of global seismic wave propagation using SPECFEM3D_GLOBE on 62K processorsLaura Carrington, Dimitri Komatitsch, Michael Laurenzano, Mustafa M. Tikir, David Michéa, Nicolas Le Goff, Allan Snavely, Jeroen Tromp. sc 2008: 60 [doi]

Performance Prediction and Ranking of SupercomputersTzu-Yi Chen, Omid Khalili, Roy L. Campbell, Laura Carrington, Mustafa M. Tikir, Allan Snavely. ac, 72:135-172, 2008.

DARPA s HPCS Program- History, Models, Tools, LanguagesJack Dongarra, Robert Graybill, William Harrod, Robert F. Lucas, Ewing L. Lusk, Piotr Luszczek, Janice McMahon, Allan Snavely, Jeffrey S. Vetter, Katherine A. Yelick, Sadaf Alam, Roy L. Campbell, Laura Carrington, Tzu-Yi Chen, Omid Khalili, Jeremy Meredith, Mustafa M. Tikir. ac, 72:1-100, 2008.

Code coverage, performance approximation and automatic recognition of idioms in scientific applicationsJiahua He, Allan Snavely, Rob F. Van der Wijngaart, Michael A. Frumkin. hpdc 2008: 223-224 [doi]

Accurate memory signatures and synthetic address traces for HPC applicationsJonathan Weinberg, Allan Snavely. ics 2008: 36-45 [doi]

2007

2006

A performance prediction framework for scientific applicationsLaura Carrington, Allan Snavely, Nicole Wolter. fgcs, 22(3):336-346, 2006. [doi]

Evaluating petascale - Evaluating petascale infrastructure systems: benchmarks, models, and applicationsRobert J. Fowler, Allan Snavely, Daniel A. Reed. sc 2006: 31 [doi]

Path Grammar Guided Trace Compression and Trace ApproximationXiaofeng Gao, Allan Snavely, Larry Carter. hpdc 2006: 57-68 [doi]

Special section: Large-scale system performance modeling and analysisAdolfy Hoisie, Darren J. Kerbyson, Celso L. Mendes, Daniel A. Reed, Allan Snavely. fgcs, 22(3):291-292, 2006. [doi]

Measuring the Performance and Reliability of Production Computational GridsOmid Khalili, Jiahua He, Catherine Olschanowsky, Allan Snavely, Henri Casanova. ccgrid 2006: 293-300 [doi]

Topic 2: Performance Prediction and EvaluationJesús Labarta, Bernd Mohr, Allan Snavely, Jeffrey S. Vetter. europar 2006: 63 [doi]

On the User - Scheduler Dialogue: Studies of User-Provided Runtime Estimates and Utility FunctionsCynthia Bailey Lee, Allan Snavely. ijhpca, 20(4):495-506, 2006. [doi]

Performance Evaluation and Modeling of Ultra-Scale SystemsLeonid Oliker, Rupak Biswas, Rob F. Van der Wijngaart, David H. Bailey, Allan Snavely. In Michael A. Heroux, Padma Raghavan, Horst D. Simon, editors, Parallel Processing for Scientific Computing. Volume 20 of Software, Environments, Tools, pages 77-96, SIAM, 2006. [doi]

99 utilization - Is 99 utilization of a supercomputer a good thing?Allan Snavely, Jeremy Kepner. sc 2006: 37 [doi]

Symbiotic Space-Sharing on SDSC s DataStar SystemJonathan Weinberg, Allan Snavely. jsspp 2007: 192-209 [doi]

When Jobs Play Nice: The Case For Symbiotic Space-SharingJonathan Weinberg, Allan Snavely. hpdc 2006: 361-362 [doi]

User-guided symbiotic space-sharing of real workloadsJonathan Weinberg, Allan Snavely. ics 2006: 345-352 [doi]

2005

Performance Modeling: Understanding the Past and Predicting the FutureDavid H. Bailey, Allan Snavely. europar 2005: 185-195 [doi]

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: 48 [doi]

ALITER: an asynchronous lightweight instrumentation tool for event recordingXiaofeng Gao, Beth Simon, Allan Snavely. sigarch, 33(5):33-38, 2005. [doi]

EMPS: An Environment for Memory Performance StudiesJeffrey K. Hollingsworth, Allan Snavely, Simone Sbaraglia, Kattamuri Ekanadham. ipps 2005: [doi]

Low cost trace-driven memory simulation using SimPointMichael Laurenzano, Beth Simon, Allan Snavely, Meghan Gunn. sigarch, 33(5):81-86, 2005. [doi]

Topic 2 - Performance Prediction and EvaluationAllen D. Malony, Thomas Fahringer, Allan Snavely, Luís Silva. europar 2005: 93 [doi]

Quantifying Locality In The Memory Access Patterns of HPC ApplicationsJonathan Weinberg, Michael O. McCracken, Erich Strohmaier, Allan Snavely. sc 2005: 50 [doi]

2004

Benchmark Probes for Grid AssessmentGreg Chun, Holly Dail, Henri Casanova, Allan Snavely. ipps 2004: [doi]

Are User Runtime Estimates Inherently Inaccurate?Cynthia Bailey Lee, Yael Schwartzman, Jennifer Hardy, Allan Snavely. jsspp 2005: 253-263 [doi]

2003

2002

Symbiotic jobscheduling with priorities for a simultaneous multithreading processorAllan Snavely, Dean M. Tullsen, Geoffrey M. Voelker. sigmetrics 2002: 66-76 [doi]

A framework for performance modeling and predictionAllan Snavely, Laura Carrington, Nicole Wolter, Jesús Labarta, Rosa M. Badia, Avi Purkayastha. sc 2002: 1-17 [doi]

2000

Symbiotic Jobscheduling for a Simultaneous Multithreading ProcessorAllan Snavely, Dean M. Tullsen. asplos 2000: 234-244 [doi]

1999

Performance and Programming Experience on the Tera MTALarry Carter, John Feo, Allan Snavely. ppsc 1999:

1998

Multi-processor Performance on the Tera MTAAllan Snavely, Larry Carter, Jay Boisseau, Amit Majumdar, Kang Su Gatlin, Nick Mitchell, John Feo, Brian Koblenz. sc 1998: 4 [doi]

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