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161
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APLAS
2010
ACM
15 years 2 months ago
Type Inference for Sublinear Space Functional Programming
We consider programming language aspects of algorithms that operate on data too large to fit into memory. In previous work we have introduced IntML, a functional programming langu...
Ugo Dal Lago, Ulrich Schöpp
131
Voted
NN
2002
Springer
137views Neural Networks» more  NN 2002»
15 years 3 months ago
Acetylcholine in cortical inference
Acetylcholine (ACh) plays an important role in a wide variety of cognitive tasks, such as perception, selective attention, associative learning, and memory. Extensive experimental...
Angela J. Yu, Peter Dayan
128
Voted
OOPSLA
2004
Springer
15 years 9 months ago
The garbage collection advantage: improving program locality
As improvements in processor speed continue to outpace improvements in cache and memory speed, poor locality increasingly degrades performance. Because copying garbage collectors ...
Xianglong Huang, Stephen M. Blackburn, Kathryn S. ...
CICC
2011
106views more  CICC 2011»
14 years 3 months ago
A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons
Efforts to achieve the long-standing dream of realizing scalable learning algorithms for networks of spiking neurons in silicon have been hampered by (a) the limited scalability of...
Jae-sun Seo, Bernard Brezzo, Yong Liu, Benjamin D....
142
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ASPLOS
2006
ACM
15 years 9 months ago
Architectural support for software-based protection
Control-Flow Integrity (CFI) is a property that guarantees program control flow cannot be subverted by a malicious adversary, even if the adversary has complete control of data m...
Mihai Budiu, Úlfar Erlingsson, Martí...