A Fully Concurrent Adaptive Snapshot Object for RMWable Shared-Memory
Bibliographic record
Abstract
An adaptive RMWable snapshot object maintains an array A[0..m-1] of m readable shared memory objects that support an arbitrary set of read-modify-write (RMW) operations, in addition to Read(). Each array entry A[i] can be accessed by any process using an operation Invoke(i,op), which simply applies a supported RMW operation op to A[i] and returns the response of op. In addition, processes can record the state of the array by calling Click(). While Click() does not return anything, a process p can call Observe(i) to determine the value of A[i] at the point of p’s latest Click(). Recently, Jayanti, Jayanti, and Jayanti [Prasad Jayanti et al., 2024] presented an RMWable adaptive snapshot object, where all operations have constant step complexity. Their algorithm is single-scanner, meaning that Click() operations cannot be executed concurrently. We present the first fully concurrent RMWable adaptive snapshot object, where all operations can be executed concurrently, assuming the the system provides atomic Fetch-And-Increment and Compare-And-Swap operations. Click() and Invoke() operations have constant step complexity, and Observe() has step complexity O(log n). The total number of base objects needed is O(mnlog n).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".