Comparison of properties affecting the performance of Hypercube Interconnection networks

Karthik, K.; Jena, Sudarson; Gopal, T. Venu

doi:10.1109/eesco.2015.7253864

Cited by 2 publications

(12 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The following variants of Hypercube Interconnection Networks are considered for research to evaluate the performance [12,13] Hypercube Network The simulated image of Hypercube Interconnection Network is shown in Fig. 7 2.…”

Section: Methodsmentioning

confidence: 99%

“…Eg: Clustering, Change location, Hypothesis testing with respect to the autonomy of two charts, Feature extraction for neural system, Fuzzy mappings, and so forth. A Hypercube [13] is an n-dimensional gure that is identical to a shape of cube in three dimensions and a square in two dimensions, according to geometry.…”

Section: Introductionmentioning

confidence: 99%

“…Each edge is characterized into when n is a much number and n is an odd number [3]. if α'= β' in the bit string of a node [11,13,21].…”

Section: Introductionmentioning

confidence: 99%

“…In combination with the consistency, these properties can be utilized to plan straightforward information correspondence calculations for Q n that are more effective than those for traditional hypercube Q. Additionally, numerous effective hypercube calculations can be straightforwardly adjusted to t the contorted hypercube [13,22].…”

Section: Introductionmentioning

confidence: 99%

“…b) Exchange edge: This edge indicates an edge linking two nodes U(=αβ ) and V(=βα) of MRH(n) if α≠β in the bit string of the nodes. c) Complement edge: This edge indicates an edge linking two nodes U(=s n α'β') and V(=s n α'β' ) of MRH(n) if α≠β in the bit string of the nodes[11,13,21].Case 2: When n is an odd number. It is assumed that for edge de nition, (s n-1 ...s i+1 ) is α' and a bit string (s n , s i ...s 2 , s 1 ) is β' in the bit string of a node U(=s n , s n-1 ,..s i ...s 2 , s 1 ).…”

mentioning

confidence: 99%

See 4 more Smart Citations

Performance Evaluation, Comparison and Identification of Efficient Hypercube Interconnection Networks

Karthik¹,

Jena

2021

Preprint

Self Cite

View full text Add to dashboard Cite

A Multiprocessor is a system with at least two processing units sharing access to memory. The principle goal of utilizing a multiprocessor is to process the undertakings all the while and support the system’s performance. An Interconnection Network interfaces the various handling units and enormously impacts the exhibition of the whole framework. Interconnection Networks, also known as Multi-stage Interconnection Networks, are node-to-node links in which each node may be a single processor or a group of processors. These links transfer information from one processor to the next or from the processor to the memory, allowing the task to be isolated and measured equally. Hypercube systems are a kind of system geography used to interconnect various processors with memory modules and precisely course the information. Hypercube systems comprise of 2n nodes. Any Hypercube can be thought of as a graph with nodes and edges, where a node represents a processing unit and an edge represents a connection between the processors to transmit. Degree, Speed, Node coverage, Connectivity, Diameter, Reliability, Packet loss, Network cost, and so on are some of the different system scales that can be used to measure the performance of Interconnection Networks. A portion of the variations of Hypercube Interconnection Networks include Hypercube Network, Folded Hypercube Network, Multiple Reduced Hypercube Network, Multiply Twisted Cube, Recursive Circulant, Exchanged Crossed Cube Network, Half Hypercube Network, and so forth. This work assesses the performing capability of different variations of Hypercube Interconnection Networks. A group of properties is recognized and a weight metric is structured utilizing the distinguished properties to assess the performance exhibition. Utilizing this weight metric, the performance of considered variations of Hypercube Interconnection Networks is evaluated and summed up to recognize the effective variant. A compact survey of a portion of the variations of Hypercube systems, geographies, execution measurements, and assessment of the presentation are examined in this paper. Degree and Diameter are considered to ascertain the Network cost. On the off chance that Network Cost is considered as the measurement to assess the exhibition, Multiple Reduced Hypercube stands ideal with its lower cost. Notwithstanding it, on the off chance that we think about some other properties/ scales/metrics to assess the performance, any variant other than MRH may show considerably more ideal execution. The considered properties probably won't be ideally adequate to assess the effective performance of Hypercube variations in all respects. On the off chance that a sensibly decent number of properties are utilized to assess the presentation, a proficient variation of Hypercube Interconnection Network can be distinguished for a wide scope of uses. This is the inspiration to do this research work.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Each edge is characterized into when n is a much number and n is an odd number [3]. if α'= β' in the bit string of a node [11,13,21].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Performance Evaluation, Comparison and Identification of Efficient Hypercube Interconnection Networks

Karthik¹,

Jena

2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

Performance Analysis of Interconnection Networks Using a Novel Metric

Kovuri¹,

Jena²,

Gopal³

2022

ECS Trans.

View full text Add to dashboard Cite

Multiprocessor is a handling device within any event with two preparing units sharing the access. The primary reason for employing the multiprocessor includes dealing with undertakings during a consistent way while as yet supporting the framework's performance. Interconnection Networks are hub to hub associations produced using single processor or a gaggle of processing units. These connections permit data to be moved from one processor to resulting or from memory to processor, permitting the errand to be isolated and assessed similarly. Hypercube frameworks are a sort of device topography that connects various processing units with the memory modules and correctly course the data. Hypercubes are frequently seen as a chart with hubs and edges, with every hub including a processing unit and each link addressing a relation among the processing units to send information. In this paper, a bunch of multiprocessor interconnection network designs are thought of and their performance is assessed with the help of a totally extraordinary proposed metric. The normal upsides of the boundaries like diameter, degree, speed, inclusion of hubs, and loss of packets at that point on are considered to arrive at the proposed metric "Performance Index" with the help of a legitimized weight metric. Non-linear regression system is utilized to assess the exact upsides of the performance index of different multiprocessor hypercube interconnection networks. These qualities are contrasted with a summary of the productive variation reasonable for a wide choice of multiprocessing applications.

show abstract

Comparison of properties affecting the performance of Hypercube Interconnection networks

Cited by 2 publications

References 15 publications

Performance Evaluation, Comparison and Identification of Efficient Hypercube Interconnection Networks

Performance Evaluation, Comparison and Identification of Efficient Hypercube Interconnection Networks

Performance Analysis of Interconnection Networks Using a Novel Metric

Contact Info

Product

Resources

About