Efficient Data Streaming for a Tightly-Coupled Coarse-Grained Reconfigurable Array
Bibliographic record
Abstract
We propose, implement and evaluate a data streaming unit (DSU) for a Coarse-Grained Reconfigurable Array (CGRA) that is tightly coupled to its host CPU. The DSU accesses system memory at the granularity of cache lines and streams data to CGRA cells that perform loads, and conversely from CGRA cells that perform stores. The unit supports both direct and indirect accesses, as well as dynamic accesses in which the access location is computed on the CGRA. Further, the DSU can exploit cache line reuse to feed (collect) data on the same cache line to (from) multiple CGRA cells, reducing the number of memory transactions. A prototype DSU is implemented on an Intel Stratix 10MX FPGA that is connected to external DDR4 memory. Evaluation shows that ideal data streaming throughput is achieved for common direct accesses, and for indirect ones when sparsity structure is present. Evaluation also shows that the DSU is effective in exploiting cache line reuse. Thus, we conclude that direct data streaming between memory and CGRA cells is effective.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".