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» On the performance of one-to-many data transformations
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ASPLOS
2010
ACM
14 years 4 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...
ICIP
1995
IEEE
14 years 10 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...
ICDE
2005
IEEE
101views Database» more  ICDE 2005»
14 years 10 months ago
GPIVOT: Efficient Incremental Maintenance of Complex ROLAP Views
Data warehousing and on-line analytical processing (OLAP) are essential for decision support applications. Common OLAP operations include for example drill down, roll up, pivot an...
Songting Chen, Elke A. Rundensteiner
DAC
2001
ACM
14 years 10 months ago
Clustered VLIW Architectures with Predicated Switching
In order to meet the high throughput requirements of applications exhibiting high ILP, VLIW ASIPs may increasingly include large numbers of functional unitsFUs. Unfortunately, `sw...
Margarida F. Jacome, Gustavo de Veciana, Satish Pi...
PLDI
2009
ACM
14 years 3 months ago
PetaBricks: a language and compiler for algorithmic choice
It is often impossible to obtain a one-size-fits-all solution for high performance algorithms when considering different choices for data distributions, parallelism, transformati...
Jason Ansel, Cy P. Chan, Yee Lok Wong, Marek Olsze...