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9th GPGPU@PPOPP 2016: Barcelona, Spain
- David R. Kaeli, John Cavazos:
Proceedings of the 9th Annual Workshop on General Purpose Processing using Graphics Processing Unit, GPGPU@PPoPP 2016, Barcelona, Spain, March 12 - 16, 2016. ACM 2016, ISBN 978-1-4503-4195-0
Algorithm
- Mateo Valero:
Runtime aware architectures. 1 - Shrinivas Devshatwar, Madhur Amilkanthwar, Rupesh Nasre
:
GPU centric extensions for parallel strongly connected components computation. 2-11 - Daniel Zinn, Haicheng Wu, Jin Wang, Molham Aref, Sudhakar Yalamanchili:
General-purpose join algorithms for large graph triangle listing on heterogeneous systems. 12-21
Heterogenous languages, extensions and runtimes
- Toomas Remmelg, Thibaut Lutz, Michel Steuwer
Performance portable GPU code generation for matrix multiplication. 22-31 - Michael Haidl, Michel Steuwer
Multi-stage programming for GPUs in C++ using PACXX. 32-41 - Borja Pérez
Simplifying programming and load balancing of data parallel applications on heterogeneous systems. 42-51
Tasking and scheduling
- Andrew Richards:
Working together to build the heterogeneous processing ecosystem. 52 - Sooraj Puthoor, Ashwin M. Aji, Shuai Che, Mayank Daga, Wei Wu
Implementing directed acyclic graphs with the heterogeneous system architecture. 53-62 - Lior Zeno, Avi Mendelson, Mark Silberstein:
GPUpIO: the case for I/O-driven preemption on GPUs. 63-71
Stencil optimization
- Naila Farooqui:
A systems perspective on GPU computing: a tribute to Karsten Schwan. 72-81 - Dip Sankar Banerjee
Designing high performance communication runtime for GPU managed memory: early experiences. 82-91 - Prashant Singh Rawat, Changwan Hong, Mahesh Ravishankar, Vinod Grover, Louis-Noël Pouchet, P. Sadayappan:
Effective resource management for enhancing performance of 2D and 3D stencils on GPUs. 92-102
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