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CLUSTER
2009
IEEE
15 years 4 months ago
Coordinating the use of GPU and CPU for improving performance of compute intensive applications
GPUs have recently evolved into very fast parallel co-processors capable of executing general purpose computations extremely efficiently. At the same time, multi-core CPUs evolutio...
George Teodoro, Rafael Sachetto Oliveira, Olcay Se...
187
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CASES
2006
ACM
16 years 18 days ago
Supporting precise garbage collection in Java Bytecode-to-C ahead-of-time compiler for embedded systems
A Java bytecode-to-C ahead-of-time compiler (AOTC) can improve the performance of a Java virtual machine (JVM) by translating bytecode into C code, which is then compiled into mac...
Dong-Heon Jung, Sung-Hwan Bae, Jaemok Lee, Soo-Moo...
MEDINFO
2007
132views Healthcare» more  MEDINFO 2007»
15 years 8 months ago
Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...
SCP
2008
128views more  SCP 2008»
15 years 6 months ago
Mobile JikesRVM: A framework to support transparent Java thread migration
Today's complex applications must face the distribution of data and code among different network nodes. Computation in distributed contexts is demanding increasingly powerful...
Raffaele Quitadamo, Giacomo Cabri, Letizia Leonard...
RAID
2007
Springer
16 years 22 days ago
The NIDS Cluster: Scalable, Stateful Network Intrusion Detection on Commodity Hardware
Abstract. In this work we present a NIDS cluster as a scalable solution for realizing high-performance, stateful network intrusion detection on commodity hardware. The design addre...
Matthias Vallentin, Robin Sommer, Jason Lee, Craig...