Wireless communication in data centers: A survey

AS Hamza, JS Deogun… - … surveys & tutorials, 2016 - ieeexplore.ieee.org
Data centers (DCs) is becoming increasingly an integral part of the computing infrastructures
of most enterprises. Therefore, the concept of DC networks (DCNs) is receiving an increased …

Lightwave fabrics: at-scale optical circuit switching for datacenter and machine learning systems

H Liu, R Urata, K Yasumura, X Zhou… - Proceedings of the …, 2023 - dl.acm.org
We describe our experience develo** what we believe to be the world's first large-scale
production deployments of lightwave fabrics used for both datacenter networking and …

Helios: a hybrid electrical/optical switch architecture for modular data centers

N Farrington, G Porter, S Radhakrishnan… - Proceedings of the …, 2010 - dl.acm.org
The basic building block of ever larger data centers has shifted from a rack to a modular
container with hundreds or even thousands of servers. Delivering scalable bandwidth …

c-Through: Part-time optics in data centers

G Wang, DG Andersen, M Kaminsky… - Proceedings of the …, 2010 - dl.acm.org
Data-intensive applications that operate on large volumes of data have motivated a fresh
look at the design of data center networks. The first wave of proposals focused on designing …

OSA: An optical switching architecture for data center networks with unprecedented flexibility

K Chen, A Singla, A Singh… - IEEE/ACM …, 2013 - ieeexplore.ieee.org
A detailed examination of evolving traffic characteristics, operator requirements, and network
technology trends suggests a move away from nonblocking interconnects in data center …

MiCS: near-linear scaling for training gigantic model on public cloud

Z Zhang, S Zheng, Y Wang, J Chiu, G Karypis… - arxiv preprint arxiv …, 2022 - arxiv.org
Existing general purpose frameworks for gigantic model training, ie, dense models with
billions of parameters, cannot scale efficiently on cloud environment with various networking …

A case for random shortcut topologies for HPC interconnects

M Koibuchi, H Matsutani, H Amano, DF Hsu… - ACM Sigarch Computer …, 2012 - dl.acm.org
As the scales of parallel applications and platforms increase the negative impact of
communication latencies on performance becomes large. Fortunately, modern High …

Optimized InfiniBandTM fat‐tree routing for shift all‐to‐all communication patterns

E Zahavi, G Johnson, DJ Kerbyson… - Concurrency and …, 2010 - Wiley Online Library
Clustered systems have become a dominant architecture of scalable high‐performance
super computers. In these large‐scale computers, the network performance and scalability is …

Flexfly: Enabling a reconfigurable dragonfly through silicon photonics

K Wen, P Samadi, S Rumley, CP Chen… - SC'16: Proceedings …, 2016 - ieeexplore.ieee.org
The Dragonfly topology provides low-diameter connectivity for high-performance computing
with all-to-all global links at the inter-group level. Our traffic matrix characterization of various …

Resource/accuracy tradeoffs in software-defined measurement

M Moshref, M Yu, R Govindan - … of the second ACM SIGCOMM workshop …, 2013 - dl.acm.org
Previous work on network measurements have explored several primitives of increasing
complexity for measurement tasks at individual nodes, ranging from counters to hashing to …