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SOFTVIS
2005
ACM
14 years 28 days ago
Adding parallelism to visual data flow programs
Programming in parallel is an error-prone and complex task compounded by the lack of tool support for both programming and debugging. Recent advances in compiler-directed shared m...
Philip T. Cox, Simon Gauvin, Andrew Rau-Chaplin
ISPAN
2000
IEEE
13 years 11 months ago
Versatile Processor Design for Efficiency and High Performance
We present new architectural concepts for uniprocessor designs that conform to the data-driven computation paradigm. Usage of our D2 -CPU (Data-Driven processor) follows the natura...
Sotirios G. Ziavras
PLDI
2012
ACM
11 years 9 months ago
Diderot: a parallel DSL for image analysis and visualization
Research scientists and medical professionals use imaging technology, such as computed tomography (CT) and magnetic resonance imaging (MRI) to measure a wide variety of biological...
Charisee Chiw, Gordon Kindlmann, John Reppy, Lamon...
IPPS
1995
IEEE
13 years 11 months ago
Data parallel programming in an adaptive environment
For better utilization of computing resources, it is important to consider parallel programming environments in which the number of available processors varies at runtime. In this...
Guy Edjlali, Gagan Agrawal, Alan Sussman, Joel H. ...
ASPLOS
2006
ACM
14 years 1 months ago
Exploiting coarse-grained task, data, and pipeline parallelism in stream programs
As multicore architectures enter the mainstream, there is a pressing demand for high-level programming models that can effectively map to them. Stream programming offers an attrac...
Michael I. Gordon, William Thies, Saman P. Amarasi...