Scala defined hardware generators for Chisel
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
We describe digital hardware designs in hardware description languages such as VHDL and SystemVerilog. Both languages were developed in the 1980s and, although regularly updated, are still in the style of their time. They lack the constructs to write more configurable generators than just the number of bits for an operation. Based on Scala, Chisel is a hardware construction language that helps to write hardware generators. Hardware generators are not a new idea. Scripting languages, such as Perl and TCL, are often used to generate VHDL or Verilog code from other sources of system description. However, mixing two languages and embedding VHDL or Verilog strings in generator code is not scalable. As Chisel is embedded in Scala, we can write the generators using the same language/environment as we use to describe the digital logic. This paper explores different examples and patterns to describe parameterizable hardware generators. We are confident that practices from software development can improve the productivity of hardware designers to build and test the next billion transistor chips.
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 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 | 0.000 |
| 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 it