Name
Abstract | ||
|---|---|---|
Throughput performance, an important metric for interconnection networks, is often quantified by the aggregate throughput for a set of representative traffic patterns. A number of models have been developed to estimate the aggregate throughput for a given traffic pattern on an interconnection network. Since all of the models predict the same property of interconnection networks, ideally, they should give similar performance results or at least follow the same performance trend. In this work, we examine four commonly used interconnect throughput models and identify the cases when all models show similar trends, when different models yield different trends, and when different models produce contradictory results. Our study reveals important properties of the models and demonstrates the subtle differences among them, which are important for an interconnect designer/researcher to understand, in order to properly select a throughput model in the process of interconnect evaluation. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/HOTI.2017.21 | 2017 IEEE 25th Annual Symposium on High-Performance Interconnects (HOTI) |
Keywords | Field | DocType |
throughput modeling,interconnection networks,jellyfish,torus | Resource management,Airfield traffic pattern,Computer science,Computer network,Throughput,Interconnection,Multiprocessor interconnection,Market research | Conference |
ISBN | Citations | PageRank |
978-1-5386-1014-5 | 1 | 0.40 |
References | Authors | |
9 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peyman Faizian | 1 | 3 | 1.80 |
| Md Atiqul Mollah | 2 | 3 | 2.14 |
| Md Shafayat Rahman | 3 | 3 | 2.46 |
| Xin Yuan | 4 | 1089 | 92.27 |
| Scott Pakin | 5 | 1098 | 134.55 |
| Mike Lang | 6 | 181 | 16.78 |