Implementing OpenMP Offload Support in the AMD Next Generation Fortran Compiler
Bibliographic record
Abstract
Modern-day supercomputers are massively parallel, heterogeneous systems, many of which employ graphics processing units (GPUs) to accelerate applications. While C/C++, and also Python, gain traction in the high-performance computing (HPC) domain, Fortran continues to have a large developer base with new high-performance code written every day. The OpenMP application programming interface (API) is a key ingredient to provide multithreading and support for offloading execution to GPUs for HPC applications. To meet this need, AMD is developing the AMD Next Generation Fortran compiler (“AMD Flang”) to replace the existing “Classic Flang” compiler in the ROCm™ 7.0 release. This paper describes the general compilation pipeline of the AMD Next Generation Fortran Compiler. It shows how the compiler generates code for OpenMP target directives and their map clauses. The paper closes with a discussion of transformations in intermediate representation, such as implementing DO CONCURRENT using OpenMP intermediate code.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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".