World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
34
Citations
5083
World Ranking
9195
National Ranking
2580

Overview

Allan Snavely was affiliated with the University of California, San Diego in the United States. Throughout their academic career, they contributed to the scientific community primarily through their research and scholarly activities aligned with this institution.

Details regarding their recent papers, frequent co-authors, publication venues, book publications, fields of study, subfields, and main topics of work have not been documented in the available source data. This lack of information limits a comprehensive review of the specific thematic or disciplinary focus they maintained during their career.

There is no record of awards won by Allan Snavely in the provided data, nor are there citations or years associated with any such honors.

The absence of listed papers means no concrete examples of their published research with corresponding years and venues can be provided. Likewise, no frequent collaborators or common publication targets are known from the available information.

Given the scientist is deceased, their body of work is closed to new contributions, and this profile serves to summarize the known historical association and available metadata without detail on scientific output or impact metrics.

Best Publications

  • Symbiotic jobscheduling for a simultaneous multithreaded processor

    Allan Snavely;Dean M. Tullsen

  • A Framework for Performance Modeling and Prediction

    Allan Snavely;Laura Carrington;Nicole Wolter;Jesus Labarta

  • PEBIL: Efficient static binary instrumentation for Linux

    Michael A. Laurenzano;Mustafa M. Tikir;Laura Carrington;Allan Snavely

  • Symbiotic jobscheduling with priorities for a simultaneous multithreading processor

    Allan Snavely;Dean M. Tullsen;Geoff Voelker

  • Are user runtime estimates inherently inaccurate

    Cynthia Bailey Lee;Yael Schwartzman;Jennifer Hardy;Allan Snavely

  • Understanding the Impact of Emerging Non-Volatile Memories on High-Performance, IO-Intensive Computing

    Adrian M. Caulfield;Joel Coburn;Todor Mollov;Arup De

  • WRF nature run

    John Michalakes;Josh Hacker;Richard Loft;Michael O. McCracken

  • Modeling application performance by convolving machine signatures with application profiles

    A. Snavely;N. Wolter;L. Carrington

  • Quantifying Locality In The Memory Access Patterns of HPC Applications

    Jonathan Weinberg;Michael O. McCracken;Erich Strohmaier;Allan Snavely

  • Precise and realistic utility functions for user-centric performance analysis of schedulers

    Cynthia B. Lee;Allan E. Snavely

  • A performance prediction framework for scientific applications

    Laura Carrington;Allan Snavely;Nicole Wolter

  • Software Challenges in Extreme Scale Systems

    Vivek Sarkar;William Harrod;Allan E Snavely

  • Benchmark probes for grid assessment

    G. Chun;H. Dail;H. Casanova;A. Snavely

  • PSINS: An Open Source Event Tracer and Execution Simulator for MPI Applications

    Mustafa M. Tikir;Michael A. Laurenzano;Laura Carrington;Allan Snavely

  • High-frequency simulations of global seismic wave propagation using SPECFEM3D_GLOBE on 62K processors

    L. Carrington;D. Komatitsch;M. Laurenzano;M.M. Tikir

  • A genetic algorithms approach to modeling the performance of memory-bound computations

    Mustafa M Tikir;Laura Carrington;Erich Strohmaier;Allan Snavely

  • A performance prediction framework for scientific applications

    Laura Carrington;Allan Snavely;Xiaofeng Gao;Nicole Wolter

  • Multi-processor Performance on the Tera MTA

    Allan Snavely;Larry Carter;Jay Boisseau;Amit Majumdar

  • Modeling Power and Energy Usage of HPC Kernels

    Ananta Tiwari;Michael A. Laurenzano;Laura Carrington;Allan Snavely

  • How Well Can Simple Metrics Represent the Performance of HPC Applications

    Laura C. Carrington;Michael Laurenzano;Allan Snavely;Roy L. Campbell

Frequent Co-Authors

David H. Bailey
David H. Bailey Lawrence Berkeley National Laboratory
Jeffrey S. Vetter
Jeffrey S. Vetter Oak Ridge National Laboratory
Cynthia Lee
Cynthia Lee Northeastern University
Daniel A. Reed
Daniel A. Reed University of Utah
Bronis R. de Supinski
Bronis R. de Supinski Lawrence Livermore National Laboratory
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
John Mellor-Crummey
John Mellor-Crummey Rice University
Dean M. Tullsen
Dean M. Tullsen University of California, San Diego
Michael L. Norman
Michael L. Norman University of California, San Diego
Katherine Yelick
Katherine Yelick University of California, Berkeley

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