The Design and Implementation of Parallel Algorithm Accelerator Based on CPU-GPU Collaborative Computing Environment
Fan Yang, Tong Nian Shi, Chu Han, Kun Wang · Advanced materials research · 2012
With the rapid development of GPU in recent years, CPU-GPU collaborative computing has become an important technique in scientific research. In this paper, we introduce a cluster system design which based on CPU-GPU collaborative computing environment. This system is based on Intel Embedded Star Platform, and we expand a Computing-Node for it by connecting to high-speed network. Through OpenMP and MPI mixed programming, we integrate different algorithms meeting with the scientific computing and application computing by Master/Worker model and a software system which is based on RIA (Rich Internet Applications). In order to achieve high performance, we used a combination of software and hardware technology. The performance results show that the programs built with hybrid programming model have good performance and scalability.