Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
Modeling TCP throughput: a simple model and its empirical validation
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
When the CRC and TCP checksum disagree
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Parallel Retrograde Analysis on Different Architecture
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
On-chip communication design: roadblocks and avenues
Proceedings of the 1st IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Architecture and synthesis for multi-cycle on-chip communication
Proceedings of the 1st IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
System capability effects on algorithms for network bandwidth measurement
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
Deep scientific computing requires deep data
IBM Journal of Research and Development
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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.