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» Schedule optimization for data processing flows on the cloud
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HIPC
2009
Springer
14 years 7 months ago
Optimizing the use of GPU memory in applications with large data sets
Abstract--With General Purpose programmable GPUs becoming more and more popular, automated tools are needed to bridge the gap between achievable performance from highly parallel ar...
Nadathur Satish, Narayanan Sundaram, Kurt Keutzer
PAMI
2010
238views more  PAMI 2010»
14 years 8 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
EUROPAR
2008
Springer
14 years 11 months ago
MPC: A Unified Parallel Runtime for Clusters of NUMA Machines
Over the last decade, Message Passing Interface (MPI) has become a very successful parallel programming environment for distributed memory architectures such as clusters. However, ...
Marc Pérache, Hervé Jourdren, Raymon...
EWSN
2007
Springer
15 years 9 months ago
Multithreading Optimization Techniques for Sensor Network Operating Systems
While a multithreading approach provides a convenient sensor application developing environment with automatic control flow and stack managment, it is considered to have a larger d...
Hyoseung Kim, Hojung Cha
EDBT
2009
ACM
218views Database» more  EDBT 2009»
15 years 4 months ago
Data integration flows for business intelligence
Business Intelligence (BI) refers to technologies, tools, and practices for collecting, integrating, analyzing, and presenting large volumes of information to enable better decisi...
Umeshwar Dayal, Malú Castellanos, Alkis Sim...