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ASPLOS
2010
ACM
14 years 2 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...
SIGARCH
2008
94views more  SIGARCH 2008»
13 years 7 months ago
Optimized on-chip pipelining of memory-intensive computations on the cell BE
Multiprocessors-on-chip, such as the Cell BE processor, regularly suffer from restricted bandwidth to off-chip main memory. We propose to reduce memory bandwidth requirements, and...
Christoph W. Kessler, Jörg Keller
VLSISP
2008
100views more  VLSISP 2008»
13 years 7 months ago
Memory-constrained Block Processing for DSP Software Optimization
Digital signal processing (DSP) applications involve processing long streams of input data. It is important to take into account this form of processing when implementing embedded ...
Ming-Yung Ko, Chung-Ching Shen, Shuvra S. Bhattach...
GG
2008
Springer
13 years 8 months ago
Transformation-Based Operationalization of Graph Languages
Graph Languages1 emerged during the seventies from the necessity to process data structures with complex interrelations. Nowadays, various variants of these languages can be found...
Erhard Weinell
ASAP
2004
IEEE
119views Hardware» more  ASAP 2004»
13 years 11 months ago
Automatic Synthesis of Customized Local Memories for Multicluster Application Accelerators
Distributed local memories, or scratchpads, have been shown to effectively reduce cost and power consumption of application-specific accelerators while maintaining performance. Th...
Manjunath Kudlur, Kevin Fan, Michael L. Chu, Scott...