In this paper, we investigate the link between graph topology and performance of BFS on GPU. We introduce a novel model to analyze the components of SIMD ...

In this work, we intend to understand the relation between graph topology,. SIMD utilization and performance through parallelizing one fundamental graph.

We discuss the mapping of elementary ray tracing operations— acceleration structure traversal and primitive intersection—onto wide SIMD/SIMT machines.

We discuss the mapping of elementary ray tracing operations---acceleration structure traversal and primitive intersection---onto wide SIMD/SIMT machines.

In this paper we develop techniques that greatly enhance the performance and scalability of vertex- centric graph processing on GPUs. First, we present Warp.

With high computation power and memory bandwidth, graphics processing units (GPUs) lend themselves to ac- celerate data-intensive analytics, especially when ...

Understanding the SIMD Efficiency of Graph Traversal on GPU Yichao Cheng, Hong An, Zhitao Chen, Feng Li, Zhaohui Wang, Xia Jiang and Yi Peng University.

SIMD execution on CPUs closes the gap between the CPU and GPU to 1.76x, but the CPU virtual memory performs better when graphs are much bigger than available ...

Dec 8, 2022 · SIMD step that reuses the edges of current traversal to produce the edges of the extended traversal. If either the current traversal has ...

Oct 12, 2014 · So, what's the relationship between graph topology and SIMD efficiency? TopologyandUtilization • Assign each vertex with a group of threads Warp ...