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HPDC
2002
IEEE
15 years 11 months ago
Using Kernel Couplings to Predict Parallel Application Performance
Performance models provide significant insight into the performance relationships between an application and the system used for execution. The major obstacle to developing perfor...
Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Ri...
IPPS
1999
IEEE
15 years 11 months ago
Visualization and Performance Prediction of Multithreaded Solaris Programs by Tracing Kernel Threads
Efficient performance tuning of parallel programs is often hard. We present a performance prediction and visualization tool called VPPB. Based on a monitored uni-processor executi...
Magnus Broberg, Lars Lundberg, Håkan Grahn
CVPR
2007
IEEE
16 years 8 months ago
Sensor noise modeling using the Skellam distribution: Application to the color edge detection
In this paper, we introduce the Skellam distribution as a sensor noise model for CCD or CMOS cameras. This is derived from the Poisson distribution of photons that determine the s...
Youngbae Hwang, Jun-Sik Kim, In-So Kweon
ICRA
2005
IEEE
119views Robotics» more  ICRA 2005»
16 years 10 days ago
Comparison of Alternate Methods for Distributed Motion Planning of Robot Collectives within a Potential Field Framework
– In this paper, we evaluate the performance of two candidate formulations for distributed motion planning of robot collectives within an Artificial Potential Field (APF) framewo...
Leng-Feng Lee, Rajankumar Bhatt, Venkat Krovi
IPSN
2005
Springer
16 years 7 days ago
A robust architecture for distributed inference in sensor networks
— Many inference problems that arise in sensor networks require the computation of a global conclusion that is consistent with local information known to each node. A large class...
Mark A. Paskin, Carlos Guestrin, Jim McFadden