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» Compiling for stream processing
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150
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ASPLOS
2006
ACM
15 years 11 months ago
Tartan: evaluating spatial computation for whole program execution
Spatial Computing (SC) has been shown to be an energy-efficient model for implementing program kernels. In this paper we explore the feasibility of using SC for more than small k...
Mahim Mishra, Timothy J. Callahan, Tiberiu Chelcea...
ASPLOS
2006
ACM
15 years 11 months ago
Accelerator: using data parallelism to program GPUs for general-purpose uses
GPUs are difficult to program for general-purpose uses. Programmers can either learn graphics APIs and convert their applications to use graphics pipeline operations or they can ...
David Tarditi, Sidd Puri, Jose Oglesby
113
Voted
PLDI
2010
ACM
15 years 10 months ago
Bamboo: a data-centric, object-oriented approach to many-core software
Traditional data-oriented programming languages such as dataflow s and stream languages provide a natural abstraction for parallel programming. In these languages, a developer fo...
Jin Zhou, Brian Demsky
EMSOFT
2006
Springer
15 years 8 months ago
Mixing signals and modes in synchronous data-flow systems
Synchronous data-flow languages such as Scade/Lustre manage infinite sequences, or streams, as primitive values making them naturally adapted to the description of datadominated s...
Jean-Louis Colaço, Grégoire Hamon, M...
WWW
2004
ACM
16 years 5 months ago
XJ: integration of XML processing into java
The increased importance of XML as a universal data representation format has led to several proposals for enabling the development of applications that operate on XML data. These...
Igor Peshansky, Michael G. Burke, Mukund Raghavach...