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Record W2141244992 · doi:10.1109/lcn.2004.20

An evaluation of the Myrinet/GM2 two-port networks

2005· article· en· W2141244992 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicParallel Computing and Optimization Techniques
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMyrinetRemote direct memory accessComputer scienceMessage passingPort (circuit theory)Bandwidth (computing)Parallel computingOverhead (engineering)ReuseMessage Passing InterfaceComputationOperating systemComputer networkProgramming language

Abstract

fetched live from OpenAlex

It is important to systematically assess the features and performance of the new interconnects for high performance clusters. This work presents the performance of the two-port Myrinet networks at the GM2 and MPI layers using a complete set of microbenchmarks. We also present the communication characteristics and the performance of the NAS multi-zone benchmarks and SMG2000 application under the MPI and MPI-OpenMP programming paradigms. We found that the host overhead is very small in our cluster, and the Myrinet is sensitive to the buffer reuse patterns. Our applications achieved a better performance for MPI than the mixed-mode. All the applications studied use only nonblocking communications, thus are able to overlap their communications with the computations. Our experiments show that the two-port communication at the GM and MPI levels (except for the RDMA read, and overlap) outperforms the one-port communication for the bandwidth. However, this did not translate into a considerable improvement at least for our applications.

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.

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)0.001
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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score0.161

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.027
GPT teacher head0.312
Teacher spread0.285 · 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