由于一般的共享存储并行机缺乏图形硬件，其上产生的3维科学计算数据，无法采用硬件加速的并行体绘制来就地进行数据可视化。为此基于本地并行机和分布式图形工作站，给出了一种混合并行绘制模型。该模型的工作原理是先将源数据存留在并行机，然后通过并行机的多处理器发布远程绘制命令流，进而通过操控工作站的图形硬件完成绘制；后期图像合成在并行机上执行，以发挥共享存储通信优势。通过负载平衡优化，并行绘制流水线有效实现了绘制、合成与显示的重叠。实验结果显示，该方法能以1 024×1 024图像分辨率，交互绘制并行机上的大规模数据场。

For lack of graphics module, general shared memory Multiprocessors can not be used to visualize the three dimensional scientific computational datasets generated on themselves using hardware accelerated volume rendering techniques. An algorithm of the hybrid parallel rendering based on multiprocessors and distributed graphics workstations is presented. The datasets are processed on both local multiprocessors and distributed graphics workstations. The following image composition is performed by multiprocessors to utilize efficiently communicating capabilities. Through load balancing optimization, parallel rendering pipeline can overlap rendering, compositing and display process. Experimental results show that the interactive rendering abilities can be achieved when handling large datasets resided in multiprocessors with 1 024×1 024 image resolution.