GPGPU '16- Proceedings of the 9th Annual Workshop on General Purpose Processing using Graphics Processing Unit

Full Citation in the ACM Digital Library

SESSION: Algorithm

Runtime aware architectures

• Mateo Valero

GPU centric extensions for parallel strongly connected components computation

• Shrinivas Devshatwar
• Madhur Amilkanthwar
• Rupesh Nasre

General-purpose join algorithms for large graph triangle listing on heterogeneous systems

• Daniel Zinn
• Haicheng Wu
• Jin Wang
• Molham Aref
• Sudhakar Yalamanchili

SESSION: Heterogenous languages, extensions and runtimes

Performance portable GPU code generation for matrix multiplication

• Toomas Remmelg
• Thibaut Lutz
• Michel Steuwer
• Christophe Dubach

Multi-stage programming for GPUs in C++ using PACXX

• Michael Haidl
• Michel Steuwer
• Tim Humernbrum
• Sergei Gorlatch

Simplifying programming and load balancing of data parallel applications on heterogeneous systems

• Borja Pérez
• José Luis Bosque
• Ramón Beivide

SESSION: Tasking and scheduling

Working together to build the heterogeneous processing ecosystem

• Andrew Richards

Implementing directed acyclic graphs with the heterogeneous system architecture

• Sooraj Puthoor
• Ashwin M. Aji
• Shuai Che
• Mayank Daga
• Wei Wu
• Bradford M. Beckmann
• Gregory Rodgers

GPUpIO: the case for I/O-driven preemption on GPUs

• Lior Zeno
• Avi Mendelson
• Mark Silberstein

SESSION: Stencil optimization

A systems perspective on GPU computing: a tribute to Karsten Schwan

• Naila Farooqui

Designing high performance communication runtime for GPU managed memory: early experiences

• Dip Sankar Banerjee
• Khaled Hamidouche
• Dhabaleswar K. Panda

Effective resource management for enhancing performance of 2D and 3D stencils on GPUs

• Prashant Singh Rawat
• Changwan Hong
• Mahesh Ravishankar
• Vinod Grover
• Louis-Noël Pouchet
• P. Sadayappan