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» Compiling for stream processing
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136
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ICDE
2010
IEEE
226views Database» more  ICDE 2010»
16 years 3 months ago
Approximation Trade-Offs in Markovian Stream Processing: An Empirical Study
Abstract-- A large amount of the world's data is both sequential and imprecise. Such data is commonly modeled as Markovian streams; examples include words/sentences inferred f...
Julie Letchner, Christopher Re, Magdalena Balazins...
MMDB
2003
ACM
178views Multimedia» more  MMDB 2003»
15 years 9 months ago
Video query processing in the VDBMS testbed for video database research
The increased use of video data sets for multimedia-based applications has created a demand for strong video database support, including efficient methods for handling the content...
Walid G. Aref, Moustafa A. Hammad, Ann Christine C...
152
Voted
PVLDB
2008
216views more  PVLDB 2008»
15 years 2 months ago
Ad-hoc data processing in the cloud
Ad-hoc data processing has proven to be a critical paradigm for Internet companies processing large volumes of unstructured data. However, the emergence of cloud-based computing, ...
Dionysios Logothetis, Ken Yocum
109
Voted
MICRO
2009
IEEE
113views Hardware» more  MICRO 2009»
15 years 10 months ago
Portable compiler optimisation across embedded programs and microarchitectures using machine learning
Building an optimising compiler is a difficult and time consuming task which must be repeated for each generation of a microprocessor. As the underlying microarchitecture changes...
Christophe Dubach, Timothy M. Jones, Edwin V. Boni...
152
Voted
IEEEINTERACT
2002
IEEE
15 years 9 months ago
Compiling for Fine-Grain Concurrency: Planning and Performing Software Thread Integration
Embedded systems require control of many concurrent real-time activities, leading to system designs which feature multiple hardware peripherals with each providing a specific, ded...
Alexander G. Dean