New custom computing machine dedicated to fast dynamic configuration applications
Bibliographic record
Abstract
This paper presents a new custom computing machine (CCM) which combines a RISC core processor with rapidly reconfigurable FPGA, more closely than in any of the currently available custom computing machines, by a highly efficient flexible interface. The pyramidal architecture reconfigurable (PARC) resources are characterized by a fine-grained array of optimized logic blocks and hierarchical routing resources which can be totally configured in as short time as 25 /spl mu/sec. The new RISC core processor is dedicated to fast dynamic configuration systems; it uses a reduced instruction set, hardware and software interrupts, etc. The interface provides to the PARC-FPGA the current state of the processor and allows the RISC processor direct access to the routing resources. It also provides direct programmable access between the PARC-FPGA and the RISC processor bank registers. This interface facilitates the sharing of hardware or software functions by the RISC core processor, and the reconfigurable logic resources. The circuit was designed using Synopsys (CAD) tools, VHDL hardware description language, and the 0.8 /spl mu/m BiCMOS technology, to operate with a 40 MHz clock frequency.
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.
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 | 0.000 | 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".