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Record W2761010195 · doi:10.23919/fpl.2017.8056785

FISH: Linux system calls for FPGA accelerators

2017· article· en· W2761010195 on OpenAlex
Kevin Nam, Blair Fort, Stephen D. Brown

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
TopicParallel Computing and Optimization Techniques
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsField-programmable gate arrayComputer scienceOperating systemEmbedded systemSystem callSoftwareLinux kernelKernel (algebra)Interface (matter)Fish <Actinopterygii>Central processing unit

Abstract

fetched live from OpenAlex

This, paper presents the FISH (FPGA-Initiated Software-Handled) framework which allows FPGA accelerators to make system calls to the Linux operating system in CPU-FPGA systems. A special FISH Linux kernel module running on the CPU provides a system call interface for FPGA accelerators, much like the ABI which exists for software programs. We provide a proof-of-concept implementation of this framework running on the Intel Cyclone V SoC device, and show that an FPGA accelerator can seamlessly make system calls as if it were the host program. We see the FISH framework being especially useful for high-level synthesis (HLS) by making it possible to synthesize software code that contains system calls.

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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.937
Threshold uncertainty score0.689

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0020.000
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 head0.039
GPT teacher head0.298
Teacher spread0.259 · 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