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Comparative Analysis of Transformer Inference Performance on Heterogeneous Edge AI Accelerators

Comparative Analysis of Transformer Inference Performance on Heterogeneous Edge AI Accelerators

publishedDate Venue The Journal of Korean Institute of Communications and Information Sciences

Source-permitted summary

Comparative Analysis of Transformer Inference Performance on Heterogeneous Edge AI Accelerators

SourceKorea Information and Communications Society

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Public source attached

Source status for this paper in the current AISci reviewed snapshot.

Primary source
Korea Information and Communications Society
Correction status
none
Evidence coverage
1 sources / 1 publishers
Last metadata check
Jul 19, 2026
DOI: 10.7840/kics.2026.51.6.1299
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AI Reading Notes

Core signal

Structured notes generated from source-linked AISci metadata. Treat them as a reading aid, not a substitute for the paper.

Core signal
Comparative Analysis of Transformer Inference Performance on Heterogeneous Edge AI Accelerators
Field context
Compute and Hardware
People and labs
Not stated in the reviewed source.
Why it matters
Recent source-backed research output for AISci Stage A browsing.
Limits to check
AISci rank score does not assess scientific quality or citation impact.

Publication facts

Venue
The Journal of Korean Institute of Communications and Information SciencesSourceKorea Information and Communications Society

External IDs

Author order

No reviewed author edge is attached to this output.

Organizations

No source-confirmed author affiliation is attached.

Related events

Comparative Analysis of Transformer Inference Performance on Heterogeneous Edge AI Accelerators

Topics

Compute and Hardware

Relationship evidence

Timeline

  2. paperComparative Analysis of Transformer Inference Performance on Heterogeneous Edge AI Accelerators
    SourceKorea Information and Communications Society