Amanote Research

Amanote Research

    RegisterSign In

Predicting Performance Impact of DVFS for Realistic Memory Systems

doi 10.1109/micro.2012.23
Full Text
Open PDF
Abstract

Available in full text

Date

December 1, 2012

Authors
Rustam MiftakhutdinovEiman EbrahimiYale N. Patt
Publisher

IEEE


Related search

Impact of Memory Technology Trends on Performance of Web Systems

English

Thermal vs Energy Optimization for DVFS-Enabled Processors in Embedded Systems

2007English

Hemispheric Memory for Surrealistic Versus Realistic Paintings

Cortex
DevelopmentalNeuropsychologyEducational PsychologyCognitive PsychologyCognitive NeurosciencePhysiological PsychologyNeurologyExperimental
1989English

An Approach to Predicting Performance for Component Based Systems

English

Techniques for Impact Evaluation of Performance Measurement Systems

International Journal of Quality and Reliability Management
AccountingManagementBusinessStrategy
2013English

Performance Limitations of Block-Multithreaded Distributed-Memory Systems

2009English

Associative Memory in Realistic Neuronal Networks

2002English

Predicting the Performance of Recommender Systems: An Information Theoretic Approach

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2011English

Predicting Reasoning From Memory.

Journal of Experimental Psychology: General
MedicineDevelopmental NeurosciencePsychologyExperimentalCognitive Psychology
2011English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy