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8th PARMA-DITAM@HiPEAC 2017: Stockholm, Sweden

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Proceedings of the 8th Workshop and 6th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures and Design Tools and Architectures for Multicore Embedded Computing Platforms, PARMA-DITAM@HiPEAC 2017, Stockholm, Sweden, January 25, 2017. ACM 2017, ISBN 978-1-4503-4877-5

Acceleration and Boosting Energy-Efficiency

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Michail Doukas, Sotirios Xydis, Dimitrios Soudris:
Dataflow Acceleration of scikit-learn Gaussian Process Regression. 1-6
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Lu Li, Christoph W. Kessler:
VectorPU: A Generic and Efficient Data-container and Component Model for Transparent Data Transfer on GPU-based Heterogeneous Systems. 7-12
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María H. Auras-Rodríguez, Anthony Zimmermann, Gerd Ascheid, Rainer Leupers:
Using PEGs for Automatic Extraction of Memory Access Descriptions to Support Data-Parallel Pattern Recognition. 13-18
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David Pereira, Aleksandar Ilic, Leonel Sousa:
On Boosting Energy-Efficiency of Heterogeneous Embedded Systems via Game Theory. 19-24

Mapping Artificial Neural Networks

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Nicholas J. Fraser, Yaman Umuroglu, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers:
Scaling Binarized Neural Networks on Reconfigurable Logic. 25-30
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Yu Yang, Syed M. A. H. Jafri, Ahmed Hemani, Dimitrios Stathis:
MTP-Caffe: Memory, Timing, and Power aware tool for mapping CNNs to GPUs. 31-36

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