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» Compositional Memory Systems for Data Intensive Applications
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EUROSYS
2008
ACM
15 years 9 months ago
Samurai: protecting critical data in unsafe languages
Programs written in type-unsafe languages such as C and C++ incur costly memory errors that result in corrupted data structures, program crashes, and incorrect results. We present...
Karthik Pattabiraman, Vinod Grover, Benjamin G. Zo...
100
Voted
JCP
2008
114views more  JCP 2008»
15 years 13 days ago
Statistical Analysis and Data Analysis of Stock Market by Interacting Particle Models
The statistical analysis of Chinese stock market fluctuations modeled by the interacting particle systems has been done in this paper. The contact model and voter model of the inte...
Jun Wang, Bingli Fan, Tiansong Wang
SC
2000
ACM
15 years 4 months ago
Improving Fine-Grained Irregular Shared-Memory Benchmarks by Data Reordering
We demonstrate that data reordering can substantially improve the performance of fine-grained irregular sharedmemory benchmarks, on both hardware and software shared-memory syste...
Y. Charlie Hu, Alan L. Cox, Willy Zwaenepoel
PLDI
2005
ACM
15 years 6 months ago
Automatic pool allocation: improving performance by controlling data structure layout in the heap
This paper describes Automatic Pool Allocation, a transformation framework that segregates distinct instances of heap-based data structures into seperate memory pools and allows h...
Chris Lattner, Vikram S. Adve
113
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IJIT
2004
15 years 1 months ago
Application of Neural Networks in Financial Data Mining
This paper deals with the application of a well-known neural network technique, multi-layer back-propagation (BP) neural network, in financial data mining. A modified neural networ...
Defu Zhang, Qingshan Jiang, Xin Li