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» High Performance Reasoning with Very Large Knowledge Bases
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BIOCOMP
2008
14 years 11 months ago
Reverse Engineering Module Networks by PSO-RNN Hybrid Modeling
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
SASP
2009
IEEE
291views Hardware» more  SASP 2009»
15 years 4 months ago
FCUDA: Enabling efficient compilation of CUDA kernels onto FPGAs
— As growing power dissipation and thermal effects disrupted the rising clock frequency trend and threatened to annul Moore’s law, the computing industry has switched its route...
Alexandros Papakonstantinou, Karthik Gururaj, John...
INFOCOM
2007
IEEE
15 years 4 months ago
Iterative Scheduling Algorithms
— The input-queued switch architecture is widely used in Internet routers due to its ability to run at very high line speeds. A central problem in designing an input-queued switc...
Mohsen Bayati, Balaji Prabhakar, Devavrat Shah, Ma...
CLUSTER
2003
IEEE
15 years 2 months ago
Coordinated Checkpoint versus Message Log for Fault Tolerant MPI
— Large Clusters, high availability clusters and Grid deployments often suffer from network, node or operating system faults and thus require the use of fault tolerant programmin...
Aurelien Bouteiller, Pierre Lemarinier, Gér...
CIARP
2009
Springer
15 years 4 months ago
Analysis of the GRNs Inference by Using Tsallis Entropy and a Feature Selection Approach
Abstract. An important problem in the bioinformatics field is to understand how genes are regulated and interact through gene networks. This knowledge can be helpful for many appl...
Fabrício Martins Lopes, Evaldo A. de Olivei...