Network system design affects distributed parallel computing

Computational Grid is essential for scientific advance, and advanced technology research and development because single system computing power is restricted by processor clock speed advancing. Increment of processor clock speed starts decreasing due to the minimum size of silicon dies v.s the distance that electrons can travel in one clock cycle driven by the light speed. The maximum processor clock speed affects not only computation power, but also communication capability because current network subsystem relies on the system resources, such as CPU, to move data from/to network. To provide a high performance and scalable network subsystem for distributed computation systems, intuitively, making network subsystem to use less or not to depend on these system resources is the key. This paper will analyze system resources consumed in each network subsystem layer/module, and address what design decision in network subsystem advance, such as Jumbo Frame, Network on Chip (NoC) --- to remove system resource consumptions for network operations --- will be able to increase the computation power on distributed computational systems.