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» An adaptive performance modeling tool for GPU architectures
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PROCEDIA
2010
148views more  PROCEDIA 2010»
12 years 11 months ago
SysCellC: a data-flow programming model on multi-GPU
High performance computing with low cost machines becomes a reality with GPU. Unfortunately, high performances are achieved when the programmer exploits the architectural specific...
Dominique Houzet, Sylvain Huet, Anis Rahman
SBACPAD
2008
IEEE
249views Hardware» more  SBACPAD 2008»
13 years 11 months ago
Processing Neocognitron of Face Recognition on High Performance Environment Based on GPU with CUDA Architecture
This work presents an implementation of Neocognitron Neural Network, using a high performance computing architecture based on GPU (Graphics Processing Unit). Neocognitron is an ar...
Gustavo Poli, José Hiroki Saito, Joã...
CGF
2008
179views more  CGF 2008»
13 years 4 months ago
Sketching MLS Image Deformations On the GPU
In this paper, we present an image editing tool that allows the user to deform images using a sketch-based interface. The user simply sketches a set of source curves in the input ...
Yanlin Weng, Xiaohan Shi, Hujun Bao, Jun Zhang
FPL
2009
Springer
172views Hardware» more  FPL 2009»
13 years 9 months ago
Performance comparison of single-precision SPICE Model-Evaluation on FPGA, GPU, Cell, and multi-core processors
Automated code generation and performance tuning techniques for concurrent architectures such as GPUs, Cell and FPGAs can provide integer factor speedups over multi-core processor...
Nachiket Kapre, André DeHon
DAC
2012
ACM
11 years 7 months ago
A QoS-aware memory controller for dynamically balancing GPU and CPU bandwidth use in an MPSoC
Diverse IP cores are integrated on a modern system-on-chip and share resources. Off-chip memory bandwidth is often the scarcest resource and requires careful allocation. Two of t...
Min Kyu Jeong, Mattan Erez, Chander Sudanthi, Nige...