Sciweavers

IPPS
2008
IEEE
14 years 6 months ago
Improving software reliability and productivity via mining program source code
A software system interacts with third-party libraries through various APIs. Insufficient documentation and constant refactorings of third-party libraries make API library reuse ...
Tao Xie, Mithun Acharya, Suresh Thummalapenta, Kun...
IPPS
2008
IEEE
14 years 6 months ago
NETEMBED: A network resource mapping service for distributed applications
Emerging configurable infrastructures (large-scale overlays, grids, distributed testbeds, and sensor networks among others) comprise diverse sets of computing resources and netwo...
Jorge Londoño, Azer Bestavros
IPPS
2008
IEEE
14 years 6 months ago
Lattice Boltzmann simulation optimization on leading multicore platforms
We present an auto-tuning approach to optimize application performance on emerging multicore architectures. The methodology extends the idea of searchbased performance optimizatio...
Samuel Williams, Jonathan Carter, Leonid Oliker, J...
IPPS
2008
IEEE
14 years 6 months ago
Build to order linear algebra kernels
—The performance bottleneck for many scientific applications is the cost of memory access inside linear algebra kernels. Tuning such kernels for memory efficiency is a complex ...
Jeremy G. Siek, Ian Karlin, Elizabeth R. Jessup
IPPS
2008
IEEE
14 years 6 months ago
Energy efficient packet classification hardware accelerator
Packet classification is an important function in a router’s line-card. Although many excellent solutions have been proposed in the past, implementing high speed packet classifi...
Alan Kennedy, Xiaojun Wang, Bin Liu
IPPS
2008
IEEE
14 years 6 months ago
Multi-source video multicast in peer-to-peer networks
We propose a novel framework for multi-source video streaming in peer-to-peer (P2P) networks. Multiple videos are distributed to all requesting peers exploiting full collaboration...
Francisco de Asís López-Fuentes, Eck...
IPPS
2008
IEEE
14 years 6 months ago
Adaptive Locality-Effective Kernel Machine for protein phosphorylation site prediction
In this study, we propose a new machine learning model namely, Adaptive Locality-Effective Kernel Machine (Adaptive-LEKM) for protein phosphorylation site prediction. Adaptive-LEK...
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert...