首页| JavaScript| HTML/CSS| Matlab| PHP| Python| Java| C/C++/VC++| C#| ASP| 其他|
购买积分 购买会员 激活码充值

您现在的位置是:虫虫源码 > C/C++/VC++ > Medusa: Simplified Graph Processing on GPUs

Medusa: Simplified Graph Processing on GPUs

  • 资源大小:610.88 kB
  • 上传时间:2021-06-30
  • 下载次数:0次
  • 浏览次数:0次
  • 资源积分:1积分
  • 标      签: US

资 源 简 介

# Medusa: Building GPU-based Parallel Sparse Graph Applications with Sequential C/C++ Code # This project has been moved to [GitHub] Introduction The graphics processing unit (GPU) has been adopted to accelerate sparse graph processing algorithms such as BFS and shortest path. However, it is difficult to write correct and efficient GPU programs and even more difficult for graph processing due to the irregularities of graph structures. To simplify graph processing on GPUs, we introduce Medusa, a programming framework which enables developers to leverage the capabilities of GPUs by writing sequential C/C++ code. Medusa focuses on sparse graph, which is m
VIP VIP
0.168733s