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IPPS
2008
IEEE
14 years 1 months ago
Modeling and predicting application performance on parallel computers using HPC challenge benchmarks
A method is presented for modeling application performance on parallel computers in terms of the performance of microkernels from the HPC Challenge benchmarks. Specifically, the a...
Wayne Pfeiffer, Nicholas J. Wright
ISCA
2008
IEEE
135views Hardware» more  ISCA 2008»
14 years 1 months ago
ReVIVaL: A Variation-Tolerant Architecture Using Voltage Interpolation and Variable Latency
Process variations are poised to significantly degrade performance benefits sought by moving to the next nanoscale technology node. Parameter fluctuations in devices can introd...
Xiaoyao Liang, Gu-Yeon Wei, David Brooks
PAMI
2006
126views more  PAMI 2006»
13 years 7 months ago
Estimation of Nonlinear Errors-in-Variables Models for Computer Vision Applications
In an errors-in-variables (EIV) model, all the measurements are corrupted by noise. The class of EIV models with constraints separable into the product of two nonlinear functions, ...
Bogdan Matei, Peter Meer
CLOUDCOM
2010
Springer
13 years 5 months ago
Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud
Cloud computing has seen tremendous growth, particularly for commercial web applications. The on-demand, pay-as-you-go model creates a flexible and cost-effective means to access c...
Keith R. Jackson, Lavanya Ramakrishnan, Krishna Mu...
ICCAD
2006
IEEE
152views Hardware» more  ICCAD 2006»
14 years 4 months ago
Performance-oriented statistical parameter reduction of parameterized systems via reduced rank regression
Process variations in modern VLSI technologies are growing in both magnitude and dimensionality. To assess performance variability, complex simulation and performance models param...
Zhuo Feng, Peng Li