An Efficient I/O Architecture for RAM-Based Content-Addressable Memory on FPGA
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.
Bibliographic record
Abstract
Despite the impressive search rate of one key per clock cycle, the update stage of a random-access-memory-based content-addressable-memory (RAM-based CAM) always suffers high latency. Two primary causes of such latency include: 1) the compulsory erasing stage along with the writing stage and 2) the major difference in data width between the RAM-based CAM (e.g., 8-bit width) and the modern systems (e.g., 256-bit width). This brief, therefore, proposes an efficient input/output (I/O) architecture of RAM-based binary CAM (RCAM) for low-latency update. To achieve this goal, three techniques, namely centralized erase RAM, bit-sliced, and hierarchical-partitioning, are proposed to eliminate the latency of the erasing stage, as well as to allow RCAM to exploit the bandwidth of modern systems effectively. Several RCAMs, whose data width ranges from 8 bits to 64 bits, were integrated into a 256-bit system for the evaluation. The experimental results in an Intel Arria V 5ASTFD5 field-programmable gate array prove that, at 100 MHz, the proposed designs achieve at least 9.6 times higher I/O efficiency as compared to the traditional RCAM.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it