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» Compositional Memory Systems for Data Intensive Applications
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107
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ASPLOS
2010
ACM
15 years 7 months ago
MacroSS: macro-SIMDization of streaming applications
SIMD (Single Instruction, Multiple Data) engines are an essential part of the processors in various computing markets, from servers to the embedded domain. Although SIMD-enabled a...
Amir Hormati, Yoonseo Choi, Mark Woh, Manjunath Ku...
213
Voted
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
16 years 2 months ago
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Feng Pan, Xiang Zhang, Wei Wang 0010
WOSP
2010
ACM
15 years 7 months ago
Analytical modeling of lock-based concurrency control with arbitrary transaction data access patterns
Nowadays the 2-Phase-Locking (2PL) concurrency control algorithm still plays a core rule in the construction of transactional systems (e.g. database systems and transactional memo...
Pierangelo di Sanzo, Roberto Palmieri, Bruno Cicia...
SSDBM
2003
IEEE
142views Database» more  SSDBM 2003»
15 years 6 months ago
A Strategy Selection Framework for Adaptive Prefetching in Data Visualization
Accessing data stored in persistent memory represents a bottleneck for current visual exploration applications. Semantic caching of frequent queries at the client-side along with ...
Punit R. Doshi, Geraldine E. Rosario, Elke A. Rund...
84
Voted
ICIP
1995
IEEE
16 years 2 months ago
Parallel programmable video co-processor design
Modern video applications call for computationally intensive data processing at very high data rate. In order to meet the high-performance/low-cost constraints, the stateof-the-ar...
An-Yeu Wu, K. J. Ray Liu, Arun Raghupathy, Shang-C...