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CLOUD
2010
ACM
15 years 10 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
IEEEPACT
2006
IEEE
15 years 11 months ago
Compiling for stream processing
This paper describes a compiler for stream programs that efficiently schedules computational kernels and stream memory operations, and allocates on-chip storage. Our compiler uses...
Abhishek Das, William J. Dally, Peter R. Mattson
AIEDU
2004
77views more  AIEDU 2004»
15 years 4 months ago
Interacting with Inspectable Bayesian Student Models
Inspectable student models focus on the idea of letting students and teachers interact with the representation of the student that the system maintains. Both humans and the system ...
Juan-Diego Zapata-Rivera, Jim E. Greer
NECO
2008
111views more  NECO 2008»
15 years 4 months ago
A Neural Network Model of the Eriksen Task: Reduction, Analysis, and Data Fitting
We analyze a neural network model of the Eriksen task, a twoalternative forced choice task in which subjects must correctly identify a central stimulus and disregard flankers that...
Yuan Sophie Liu, Philip Holmes, Jonathan D. Cohen
USENIX
2000
15 years 6 months ago
Techniques for the Design of Java Operating Systems
Language-basedextensible systems, such as Java Virtual Machines and SPIN, use type safety to provide memory safety in a single address space. By using software to provide safety, ...
Godmar Back, Patrick Tullmann, Leigh Stoller, Wils...