Abstract | ||
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The need to perform data analytics on exploding data volumes coupled with the rapidly changing workloads in cloud computing places great pressure on data-center servers. To improve hardware resource utilization across servers within a rack, we propose Direct Extension of On-chip Interconnects (DEOI), a high-performance and efficient architecture for remote resource access among server nodes. DEOI extends an SoC server node's on-chip interconnect to access resources in adjacent nodes with no protocol changes, allowing remote memory and network resources to be used as if they were local. Our results on a four-node FPGA prototype show that the latency of user-level, cross-node, random reads to DEOI-connected remote memory is as low as 1.16µs, which beats current commercial technologies. We exploit DEOI remote access to improve performance of the Redis in-memory key-value framework by 47%. When using DEOI to access remote network resources, we observe an 8.4% average performance degradation and only a 2.52µs ping-pong latency disparity compared to using local assets. These results suggest that DEOI can be a promising mechanism for increasing both performance and efficiency in next-generation data-center servers. |
Year | DOI | Venue |
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2016 | 10.1109/ICCD.2016.7753261 | 2016 IEEE 34th International Conference on Computer Design (ICCD) |
Keywords | Field | DocType |
data center,remote access,custom interconnect | System on a chip,Computer science,Latency (engineering),Server,Node (networking),FPGA prototype,Computer network,Real-time computing,Exploit,Data center,Embedded system,Cloud computing | Conference |
ISSN | ISBN | Citations |
1063-6404 | 978-1-5090-5143-4 | 2 |
PageRank | References | Authors |
0.42 | 15 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yisong Chang | 1 | 5 | 3.92 |
Ke Zhang | 2 | 75 | 21.74 |
Sally A. Mckee | 3 | 1928 | 152.59 |
Lixin Zhang | 4 | 571 | 45.96 |
Ming-yu Chen | 5 | 902 | 79.29 |
Liqiang Ren | 6 | 2 | 0.42 |
Zhiwei Xu | 7 | 1563 | 162.88 |