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Offline Compression for On-Chip RAM Nathan Cooprider John Regehr School of Computing, University of Utah
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Document Date: 2007-03-27 19:07:01

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File Size: 258,05 KB

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San Francisco / Link¨oping / Ottawa / Portland / Vancouver / Grenoble / San Jose / Orlando / Baltimore / Washington / DC / Berlin / Atlanta / Seoul / Cambridge / Los Angeles / Jersey City / San Diego / Chicago / /

Company

Atmel / Embedded Networked Sensor Systems / Ge / Embedded Computing Systems / Embedded Systems / D R A G T tT E Sa T / Phong Co / Scott McPeak S. P. / D RAG T tT E Sa / /

Country

France / Canada / Korea / Germany / Sweden / United States / /

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USD / /

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Facility

University of Utah / /

IndustryTerm

enough hardware / sensor network applications / compare applications / low-end systems / software developers / memory systems / software developer / electronic systems / energy usage / energy / benchmark applications / Online RAM optimizations / sensor networks / data dissemination protocol / software using wholeprogram analysis / sensor networking applications / hardware devices / lower-power processors / On-line memory compression / capable processors / on-line compression / opensource software / wireless sensor networks / out-of-the-box applications / Online RAM size optimization / sensor network developer / static operating systems / binary search / robot control applications / wireless sensor network nodes / cacheless systems / Interrupt-driven software uses / runtime systems / workstation applications / microcontroller software / /

OperatingSystem

TinyOS / Linux / /

Organization

University of Utah / National Science Foundation / Harvard / Vx / On-Chip RAM Nathan Cooprider John Regehr School of Computing / /

Person

Michael Stilkerich / Chris Karlof / Lan S. Bai / Ozcan Ozturk / Ben L. Titzer / Chris Lattner / Rodric M. Rabbah / Richard Neves / Lei Yang / Rajiv Gupta / Kirk Webb / Surupa Biswas / Alastair Reid / Robert von Behren / Eric Eide / David Culler / Margaret Martonosi / Jason Hill / Rahul Razdan / David Brooks / Dirk Grunwald / Michael D. Smith / Seth Copen Goldstein / David Gay / Nathan Cooprider / Andreas Gal / C. Scott Ananian / Bob Davidson / Kristofer Pister / Christian Wawersich / Naveen Sastry / F. Kenneth Zadeck / Saman Amarasinghe / Srimat Chakradhar / Mihai Budiu / Volker Barthelmann / Matt Welsh / Wolfgang Schr / Mark Stephenson / John Regehr / Robert Szewczyk / Michael Franz / Kip Walker / Westley Weimer / Jonathan Babb / Youtao Zhang / George C. Necula / Ai / Bhuvan Middha / Max Baron / Thomas Reps / Majd Sakr / Robert P. Dick / Bjorn De Sutter / Matthew Simpson / Jens Palsberg / Daniel Lee / Rajeev Barua / Bonita Springs / Krishna V. Palem / Laurie Hendren / Alec Woo / Mahmut Kandemir / Dominique Chanet / Haris Lekatsas / Vikram Adve / Trishul M. Chilimbi / James R. Larus / Mary Jane Irwin / Seth Hollar / David Wagner / Phil Levis / Gogul Balakrishnan / Ross Bannatyne / Jonathan W. Hui / Mark N. Wegman / Martin Rinard / Nathan Cooprider John / Cheryl Cadden / /

Position

embedded software developer / TinyOS task scheduler / volatile qualifier / General / head / representative / embedded software developer / our work has two concrete benefits / scheduler data structure / /

Product

Avrora / a tool / CComp / CComp / /

ProgrammingLanguage

Java / L / DC / FL / R / C / /

ProvinceOrState

California / Georgia / New Jersey / Maryland / Illinois / Florida / Massachusetts / /

Technology

Object-Oriented Programming / cheaper / lower-power processors / RAM / Linux / API / encryption / oLed / link-level packet encryption / Java / 100 processors / AVR processor / AV / floating point unit / operating systems / flash memory / AVR processors / http / caching / simulation / data dissemination protocol / Parallel Processing / /

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