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» An adaptive performance modeling tool for GPU architectures
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HIPEAC
2009
Springer
14 years 1 days ago
Predictive Runtime Code Scheduling for Heterogeneous Architectures
Heterogeneous architectures are currently widespread. With the advent of easy-to-program general purpose GPUs, virtually every recent desktop computer is a heterogeneous system. Co...
Víctor J. Jiménez, Lluís Vila...
JPDC
2008
167views more  JPDC 2008»
13 years 5 months ago
A performance study of general-purpose applications on graphics processors using CUDA
Graphics processors (GPUs) provide a vast number of simple, data-parallel, deeply multithreaded cores and high memory bandwidths. GPU architectures are becoming increasingly progr...
Shuai Che, Michael Boyer, Jiayuan Meng, David Tarj...
EGH
2004
Springer
13 years 10 months ago
A flexible simulation framework for graphics architectures
In this paper we describe a multipurpose tool for analysis of the performance characteristics of computer graphics hardware and software. We are developing Qsilver, a highly conï¬...
Jeremy W. Sheaffer, David P. Luebke, Kevin Skadron
EUROPAR
2009
Springer
13 years 12 months ago
An Extension of the StarSs Programming Model for Platforms with Multiple GPUs
While general-purpose homogeneous multi-core architectures are becoming ubiquitous, there are clear indications that, for a number of important applications, a better performance/p...
Eduard Ayguadé, Rosa M. Badia, Francisco D....
IPPS
2010
IEEE
13 years 3 months ago
Acceleration of spiking neural networks in emerging multi-core and GPU architectures
Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa ...