Parallel ray casting algorithm based on muti-core cell processors
基于Cell多核的光线投射并行算法

How to make full use of high performance of multi-core heterogeneous platform to support practical application is becoming a new research hotspot. Take graphic algorithms for example, depending on balance allocation study of Ray Casting, the paper proposed a designing method to develop a parallel ray casting application in Cell B. E multi-core heterogeneous system with function decomposition and the row-block static allocation. SMID method was used to optimize the performance. Testing results show that the speedup and scalability is fine, and the performance in Cell is 14 times better than SMP server.