Abstract is missing.
- Runtime aware architecturesMateo Valero. 1 [doi]
- GPU centric extensions for parallel strongly connected components computationShrinivas Devshatwar, Madhur Amilkanthwar, Rupesh Nasre. 2-11 [doi]
- General-purpose join algorithms for large graph triangle listing on heterogeneous systemsDaniel Zinn, Haicheng Wu, Jin Wang, Molham Aref, Sudhakar Yalamanchili. 12-21 [doi]
- Performance portable GPU code generation for matrix multiplicationToomas Remmelg, Thibaut Lutz, Michel Steuwer, Christophe Dubach. 22-31 [doi]
- Multi-stage programming for GPUs in C++ using PACXXMichael Haidl, Michel Steuwer, Tim Humernbrum, Sergei Gorlatch. 32-41 [doi]
- Simplifying programming and load balancing of data parallel applications on heterogeneous systemsBorja Pérez, José Luis Bosque, Ramón Beivide. 42-51 [doi]
- Working together to build the heterogeneous processing ecosystemAndrew Richards. 52 [doi]
- Implementing directed acyclic graphs with the heterogeneous system architectureSooraj Puthoor, Ashwin M. Aji, Shuai Che, Mayank Daga, Wei Wu, Bradford M. Beckmann, Gregory Rodgers. 53-62 [doi]
- GPUpIO: the case for I/O-driven preemption on GPUsLior Zeno, Avi Mendelson, Mark Silberstein. 63-71 [doi]
- A systems perspective on GPU computing: a tribute to Karsten SchwanNaila Farooqui. 72-81 [doi]
- Designing high performance communication runtime for GPU managed memory: early experiencesDip Sankar Banerjee, Khaled Hamidouche, Dhabaleswar K. Panda. 82-91 [doi]
- Effective resource management for enhancing performance of 2D and 3D stencils on GPUsPrashant Singh Rawat, Changwan Hong, Mahesh Ravishankar, Vinod Grover, Louis-Noël Pouchet, P. Sadayappan. 92-102 [doi]