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Record W2118220486 · doi:10.1109/asap.2002.1030728

A novel pipelined threads architecture for AES encryption algorithm

2003· article· en· W2118220486 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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicCryptographic Implementations and Security
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsComputer scienceField-programmable gate arrayParallel computingScalabilityEncryptionThread (computing)Advanced Encryption StandardThroughputAES implementationsArchitectureClock rateEmbedded systemChipOperating systemWireless

Abstract

fetched live from OpenAlex

This paper presents a single-chip parallel architecture for advanced encryption standard (AES). The proposed architecture uses the thread approach, which integrates fully pipelined parallel units, that process 128 bits/cycle and quadruples the data throughput. The threads architecture allows a reduction of the clock rate by a factor of four, while maintaining the data throughput, and consumes less power. The prototype runs at a data rate of 7.68 Gbps on a Xilinx xc2V1500 Virtex-II FPGA. The data rate shows that the proposed thread approach produces one of the fastest single-chip FPGA implementations currently available. In addition, the proposed architecture is scalable to 192, 256 and higher bits.

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.287
Threshold uncertainty score0.320

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 communication0.0000.000
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 head0.023
GPT teacher head0.284
Teacher spread0.261 · 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