MétaCan
Menu
Back to cohort
Record W4244245269 · doi:10.32920/ryerson.14663889

Virtual channel organization and arbitration for network on chip router architecure

2021· preprint· en· W4244245269 on OpenAlexaff
Masoud Oveis Gharan

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicInterconnection Networks and Systems
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsArbiterArbitrationComputer scienceRouterNetwork on a chipVirtual channelPort (circuit theory)Computer networkNetwork packetChannel (broadcasting)One-armed routerChipEmbedded systemDistributed computingEngineeringTelecommunications

Abstract

fetched live from OpenAlex

The advent of Multi-Processor Systems-on-Chip (MPSoC) has emphasized the importance of on-chip communication infrastructures. Network on Chip (NoC) has emerged as a state of the art paradigm for efficient on-chip communication. Among the various components employed in NoC routers, Virtual Channel (VC) plays an important role in the performance and hardware requirements of an NoC system. The VC mechanism enables the multiplexing and buffering of several packets to travel over a single physical channel concurrently. VC arbitration (or arbiter) is another critical organization component of a router that has significant impact on the efficiency of an NoC system. Arbiter performs arbitration among the group of VCs that are competing for a single resource (e.g. output-port). In this dissertation, we propose novel approaches for dynamic VC flow control mechanism and VC arbitration. The first two approaches are based on the adaptivity of VCs in the router input-port that improves the efficiency of NoC system. In both of techniques, the input-port comprises of a centralized buffer whose slots are dynamically allocated to VCs according to a real-time traffic situation. The performance improvement is achieved by utilizing multiple virtual channels with minimal buffer resources. The VC arbitration approach is based on an efficient and fast arbiter that functions upon the index of its input-ports (or VC requests). The architecture of arbiter scales with the Log2 of the number of inputs where a conventional round robin arbiter scales with the number of inputs. The index based behavior and the architecture of our arbiter leads to lower power consumption and chip area. This dissertation presents the organizations and micro-architectures of NoC routers. We have employed SystemVerilog at the micro-architectural level design and modeling of NoC components. We employ three CAD platforms namely ModelSim, Quartus (FPGA) and Synopsys (ASIC level) to design, simulate and implement our router based NoCs. The simulation results support the theoretical concepts of our proposed VC organization and arbitration approaches. We have also implemented and conducted simulation and modeling experiments for conventional VC organization and arbitration models. The experimental results verify the efficiency of our proposed models in terms of power, area and performance in different NoC configurations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.973
Threshold uncertainty score0.820

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.227
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same topicInterconnection Networks and SystemsFrench-language works237,207