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PDP
2008
IEEE
16 years 27 days ago
A Transformation Framework for Communicating Multiprocessor-Tasks
Parallel programming models based on a mixture of task and data parallelism have shown to be successful in addressing the increasing communication overhead of distributed memory p...
Jörg Dümmler, Thomas Rauber, Gudula R&uu...
HPDC
2010
IEEE
15 years 7 months ago
Twister: a runtime for iterative MapReduce
MapReduce programming model has simplified the implementation of many data parallel applications. The simplicity of the programming model and the quality of services provided by m...
Jaliya Ekanayake, Hui Li, Bingjing Zhang, Thilina ...
OOPSLA
2010
Springer
15 years 5 months ago
Language virtualization for heterogeneous parallel computing
As heterogeneous parallel systems become dominant, application developers are being forced to turn to an incompatible mix of low level programming models (e.g. OpenMP, MPI, CUDA, ...
Hassan Chafi, Zach DeVito, Adriaan Moors, Tiark Ro...
SAC
2009
ACM
16 years 1 months ago
Celling SHIM: compiling deterministic concurrency to a heterogeneous multicore
Parallel architectures are the way of the future, but are notoriously difficult to program. In addition to the low-level constructs they often present (e.g., locks, DMA, and non-...
Nalini Vasudevan, Stephen A. Edwards
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
16 years 20 days ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks