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» Kernels for Semi-Structured Data
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2011
IEEE
14 years 18 days ago
Performance Characterization and Optimization of Atomic Operations on AMD GPUs
—Atomic operations are important building blocks in supporting general-purpose computing on graphics processing units (GPUs). For instance, they can be used to coordinate executi...
Marwa Elteir, Heshan Lin, Wu-chun Feng
96
Voted
NIPS
2001
15 years 2 months ago
Quantizing Density Estimators
We suggest a nonparametric framework for unsupervised learning of projection models in terms of density estimation on quantized sample spaces. The objective is not to optimally re...
Peter Meinicke, Helge Ritter
104
Voted
ICML
2010
IEEE
15 years 1 months ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
98
Voted
EUROPAR
2001
Springer
15 years 5 months ago
Performance of High-Accuracy PDE Solvers on a Self-Optimizing NUMA Architecture
High-accuracy PDE solvers use multi-dimensional fast Fourier transforms. The FFTs exhibits a static and structured memory access pattern which results in a large amount of communic...
Sverker Holmgren, Dan Wallin
IFE
2010
87views more  IFE 2010»
14 years 10 months ago
A middleware for efficient stream processing in CUDA
This paper presents a middleware capable of out-of-order execution of kernels and data transfers for efficient stream processing in the compute unified device architecture (CUDA). ...
Shinta Nakagawa, Fumihiko Ino, Kenichi Hagihara