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ASPLOS
2010
ACM
15 years 10 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...
IEEEPACT
2007
IEEE
15 years 9 months ago
Architectural Support for the Stream Execution Model on General-Purpose Processors
There has recently been much interest in stream processing, both in industry (e.g., Cell, NVIDIA G80, ATI R580) and academia (e.g., Stanford Merrimac, MIT RAW), with stream progra...
Jayanth Gummaraju, Mattan Erez, Joel Coburn, Mende...
FIDJI
2003
Springer
15 years 8 months ago
Hard Real-Time Implementation of Embedded Software in JAVA
The popular slogan ”write once, run anywhere” effectively renders the expressive capabilities of the Java programming framework for developing, deploying, and reusing target-i...
Jean-Pierre Talpin, Abdoulaye Gamatié, Davi...
SCP
1998
163views more  SCP 1998»
15 years 2 months ago
Computing with Continuous Change
A central challenge in computer science and knowledge representation is the integration of conceptual frameworks for continuous and discrete change, as exemplified by the theory ...
Vineet Gupta, Radha Jagadeesan, Vijay A. Saraswat
OOPSLA
2010
Springer
15 years 1 months ago
Concurrency by modularity: design patterns, a case in point
General purpose object-oriented programs typically aren’t embarrassingly parallel. For these applications, finding enough concurrency remains a challenge in program design. To ...
Hridesh Rajan, Steven M. Kautz, Wayne Rowcliffe