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13th GPGPU@PPoPP 2020: San Diego, CA, USA

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Adwait Jog, Onur Kayiran, Ashutosh Pattnaik:
GPGPU@PPoPP '20: 13th Annual Workshop on General Purpose Processing using Graphics Processing Unit colocated with 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, San Diego, California, USA, February 23, 2020. ACM 2020, ISBN 978-1-4503-7025-7
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  - conf/ppopp/GioiosaMLVPC20
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Roberto Gioiosa, Burcu Ozcelik Mutlu, Seyong Lee, Jeffrey S. Vetter, Giulio Picierro, Marco Cesati:
The Minos Computing Library: efficient parallel programming for extremely heterogeneous systems. 1-10
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  - conf/ppopp/QiaoRTH20
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Bo Qiao, Oliver Reiche, Jürgen Teich, Frank Hannig:
Unveiling kernel concurrency in multiresolution filters on GPUs with an image processing DSL. 11-20
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  - conf/ppopp/RemmelgHLSGD20
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Toomas Remmelg, Bastian Hagedorn, Lu Li, Michel Steuwer, Sergei Gorlatch, Christophe Dubach:
High-level hardware feature extraction for GPU performance prediction of stencils. 21-30
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  - conf/ppopp/WangLC20
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Qiang Wang, Chengjian Liu, Xiaowen Chu:
GPGPU performance estimation for frequency scaling using cross-benchmarking. 31-40
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  - conf/ppopp/MogersRLTOD20
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Naums Mogers, Valentin Radu, Lu Li, Jack Turner, Michael F. P. O'Boyle, Christophe Dubach:
Automatic generation of specialized direct convolutions for mobile GPUs. 41-50
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Bikash Gogoi, Unnikrishnan Cheramangalath, Rupesh Nasre:
Custom code generation for a graph DSL. 51-60
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Chao Peng, Ajitha Rajan:
Automated test generation for OpenCL kernels using fuzzing and constraint solving. 61-70

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