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Record W128049675 · doi:10.5753/sbac-pad.2000.41216

Efficient ECC-Based Directory Implementations for Scalable Multiprocessors

2000· article· en· W128049675 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
TopicParallel Computing and Optimization Techniques
Canadian institutionsPQ Corporation (Canada)
Fundersnot available
KeywordsComputer scienceDirectoryMemory bandwidthEmbedded systemOperating systemLatency (audio)ScalabilityDatapathMemory controllerSemiconductor memory

Abstract

fetched live from OpenAlex

With increasing chip densities, next-generation micro-processor design have the opportunity to integrate many of the traditional system-level moules onto the same chip as the processor. This integration changes some of the design trade-offs for how and where to store directory information. One extremely attractive option is to support directory data with virtually no memory space overhead by computing memory ECC at a coarser granularity and utilizing the usused bits for storing the directory information. Compared to providing a dedicated memory and datapath for directory atorage, this approach leads to lower cost and a simpler design by requiring fewer components and pins. Furthermore, this approach leverages the low latency, high bandwidth path to memory provided by the integration of memory controllers onto the processor chip. However, without careful design, maintaining data and directory bits together can lead to potential inefficiencies in the form of extra memory bandwidth usage and memory controller occupancy, and extra memory latency. This paper describes the techniques used in the context of the Piranha design [3] to provide an efficient ECC-based directory implementation which addresses the occupancy/bandwidth and latency issues. Our approach for dealing with the occupancy/bandwidth issues involves either eliminating the extra read and write operations or performing partial memory accesses (instead of accessing the whole block). Thi is achieved by a combination of techniques which include (i) augmenting the L2 caching state to keep track of some critical directory state, (ii) making up dummy data for protocol transactions with a stale momory copy, and (iii) maintaining a partial ECC that is used to compute the combined ECC of the data and the modified directory bits without needing the actual data bits. To address the latency issues, we replicate critical directory state in different segments of the momory line which allows us to efficiently support the critical-word-first optimization by pipelining data from memory to the requester before all the data is read from memory. The combination of the above techniques also eliminates all the inefficiencies that arise due to maintaining a combined ECC for directory and data bits. Therefore, we benefit from the more efficient use of bits provided by the combined ECC with virtually no performance penalty compared to maintaining separe ECC bits for data and directory. Finally, the optimizations used in Piranha are general and applicable to other designs that use ECC-based directories.

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: Methods
Teacher disagreement score0.358
Threshold uncertainty score0.332

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 head0.021
GPT teacher head0.302
Teacher spread0.281 · 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