Switchless Interconnect Network with PCIe Non-Transparent Bridge Interface

Author(s):  
Sang-Gyum Kim ◽  
Yang-Woo Lee ◽  
Seung-Ho Lim ◽  
Kwang-ho Cha
2010 ◽  
Vol 22 (5) ◽  
pp. 858-864
Author(s):  
Yuanshen Li ◽  
Yun Pan ◽  
Yong Ding ◽  
Xiaolang Yan

Photonics ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 11
Author(s):  
Fulong Yan ◽  
Changshun Yuan ◽  
Chao Li ◽  
Xiong Deng

Interconnecting networks adopting Fast Optical Switches (FOS) can achieve high bandwidth, low latency, and low power consumption. We propose and demonstrate a novel interconnecting topology based on FOS (FOSquare) with distributed fast flow control which is suitable for HPC infrastructures. We also present an Optimized Mapping (OPM) algorithm that maps the most communication-related processes inside a rack. We numerically investigate and compare the network performance of FOSquare with Leaf-Spine under real traffic traces collected by running multiple applications (CG, MG, MILC, and MINI_MD) in an HPC infrastructure. The numerical results show that the FOSquare can reduce >10% latency with respect to Leaf-Spine under the scenario of 16 available cores.


Author(s):  
Yali Lv ◽  
Cheng-Kuan Lin ◽  
Guijuan Wang

The interconnetion network plays an important role in a parallel system. To avoid the edge number of the interconnect network scaling rapidly with the increase of dimension and achieve a good balance of hardware costs and properties, this paper presents a new interconnection network called exchanged [Formula: see text]-ary [Formula: see text]-cube ([Formula: see text]). Compared with the [Formula: see text]-ary [Formula: see text]-cube structures, [Formula: see text] shows better performance in terms of many metrics such as small degree and fewer links. In this paper, we first introduce the structure of [Formula: see text] and present some properties of [Formula: see text]; then, we propose a routing algorithm and obtain the diameter of [Formula: see text]. Finally, we analyze the diagnosis of [Formula: see text] and give the diagnosibility under PMC model and MM* model.


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