TMD-MPI: An MPI Implementation for Multiple Processors Across Multiple FPGAs
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
With current FPGAs, designers can now instantiate several embedded processors, memory units, and a wide variety of IP blocks to build a single-chip, high-performance multiprocessor embedded system. Furthermore, multi-FPGA systems can be built to provide massive parallelism given an efficient programming model. In this paper, we present a lightweight subset implementation of the standard message-passing interface, MPI, that is suitable for embedded processors. It does not require an operating system and uses a small memory footprint. With our MPI implementation (TMD-MPI), we provide a programming model capable of using multiple-FPGAs that hides hardware complexities from the programmer, facilitates the development of parallel code and promotes code portability. To enable intra-FPGA and inter-FPGA communications, a simple network-on-chip is also developed using a low overhead network packet protocol. Together, TMD-MPI and the network provide a homogeneous view of a cluster of embedded processors to the programmer. Performance parameters such as link latency, link bandwidth, and synchronization cost are measured by executing a set of microbenchmarks
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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 | 0.000 | 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 | 0.001 |
| 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