数据密集型计算 data intensive computing
信息密集型计算 Information Intensive Computing
CPU密集型计算 CPU denseness computation
数据密集型的超级计算 Data Intensive Super Computing
并行计算降低计算密集型计算任务时间开销的有力途径。
Parallel processing is a powerful way to reduce time cost in computation-intense task.
设备还提供了必须的内存和处理能力来处理模式部署、映像导入以及其他密集型计算资源处理。
The appliance also provides the necessary memory and processing power to handle pattern deployments, image imports, and other intensive compute resource processes.
一个好的例子就是组合应用中包含密集型计算的部分可以被并行运行，这会减少整体处理时间。
A good example is where a part of the composite application contains an intensive calculation that can be run in parallel to reduce the overall processing time.
应用推荐