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Record W2169894728 · doi:10.1109/ccece.2003.1226363

Embedded memory in system-on-chip design: architecture and prototype implementation

2004· article· en· W2169894728 on OpenAlex
Naraig Manjikian

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 CanadaCMC Microsystems
KeywordsComputer scienceRowEmbedded systemComputer hardwareDramRegistered memoryStatic random-access memoryMemory addressInterleaved memoryMemory architectureComputer architectureSemiconductor memoryComputer memory

Abstract

fetched live from OpenAlex

Advances in microelectronics fabrication technology have created new opportunities for system designers to employ embedded DRAM in system-on-chip (SoC) designs. This paper discusses an embedded DRAM architecture and its prototype implementation. The architecture consists of multiple memory banks, each with a row buffer to hold a subset of recently-accessed rows. The memory banks use either contiguous or interleaved addressing, and the row buffer in each bank uses either direct-mapping or full-associativity to map rows from the DRAM array into the buffer. A write bypass feature is also supported for the row buffer. A prototype memory bank implementation has been developed in VHDL for a programmable logic chip using embedded SRAM memory blocks to emulate a DRAM array. A single 256/spl times/256 memory bank uses only 4% of the logic capacity of a Xilinx XCV2000E chip and 10% of the embedded memory. Operational results demonstrate the functionality of the implementation for read and write accesses.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.594
Threshold uncertainty score0.309

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 head0.020
GPT teacher head0.286
Teacher spread0.266 · 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