MétaCan
Menu
Back to cohort

High-Throughput Synthesizable Synchronization FIFOs for Mixed-Timing NoCs

2020· article· en· W4403124238 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
FieldEngineering
TopicAdvanced Memory and Neural Computing
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsThroughputSynchronization (alternating current)Computer scienceParallel computingComputer networkOperating systemWireless

Abstract

fetched live from OpenAlex

This paper presents a family of modular, standard-cell-based interfaces for crossing between asynchronous and synchronous timing domains. These FIFOs have interchangeable input and output interfaces for edge-triggered synchronous communication and for the asP* asynchronous pulse-based handshake protocol. The FIFO capacity, synchronizer latency and interface protocols are independent parameters, allowing the FIFO to be easily configured for different requirements. The modular design makes the FIFO ideal for use in system-on-chip applications, where multiple functional blocks operating at different clock frequencies communicate using an asynchronous network-on-chip. They provide high-throughput communication and hide most of the synchronization latency. Our designs are fully synthesizable using widely available standard cell libraries and a standard ASIC design flow. We generate layoutS for several different synchronous and asynchronous FIFOs. All instances can operate at speeds greater than 1.45 GHz under worst-case conditions when implemented in a 65nm CMOS process.

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 score0.916
Threshold uncertainty score0.466

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 head0.028
GPT teacher head0.230
Teacher spread0.202 · 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

Quick stats

Citations2
Published2020
Admission routes1
Has abstractyes

Explore more

Same topicAdvanced Memory and Neural ComputingFrench-language works237,207