Name
Abstract | ||
|---|---|---|
Due to technology scaling, the number of processor cores on a chip constantly increases. Already today, we reach the domain of so called many-core systems-on-chip. However, this advance comes at the cost of reliability, which especially affects the communication performance of the underlying network-on-chip. Today's resiliency concepts for network-on-chip like automatic repeat request with retransmission are not feasible anymore and lead to long latencies and high network load. In this paper, we propose an on-chip transmission concept based on random linear network coding to provide high resiliency and an efficient communication in many-core processors at the same time. The concept offers a flexible and efficient computable coding scheme, which is well suited for on-chip communication and allows to exploit the path diversity of large networks. First, we use a flit-level cycle-accurate simulation model to investigate the performance potential of the proposed transmission scheme on a network-on-chip with 64 cores. Second, we propose an analytic model for random linear network coding in network-on-chip with retransmission, which is able to provide a very accurate performance estimation close to the cycle-accurate simulation. Finally, we apply the analytic model to investigate the performance potential on the large-scale, assuming a processor with 1024 cores. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/PCCC.2015.7410331 | IPCCC |
Keywords | Field | DocType |
many-core systems-on-chip,network-on-chip,automatic repeat request,on-chip transmission concept,random linear network coding | Linear network coding,Computer science,Retransmission,Computer network,Chip,Real-time computing,Exploit,Coding (social sciences),Automatic repeat request,Multi-core processor,Analytic model | Conference |
ISSN | Citations | PageRank |
1097-2641 | 1 | 0.36 |
References | Authors | |
13 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sadia Moriam | 1 | 10 | 3.30 |
| Yexin Yan | 2 | 7 | 2.63 |
| Erik Fischer | 3 | 28 | 2.29 |
| Elke Franz | 4 | 113 | 54.42 |
| Gerhard Fettweis | 5 | 3553 | 410.41 |