docs/ParallelMultiImageFortranRuntime: Update link to latest PRIF Specification (#201403)
The PRIF Committee is pleased to announce the publication of the
Parallel Runtime Interface for Fortran (PRIF) Specification, Revision
0.8. The latest iteration of this specification represents the efforts
of a collaborative design process involving multiple individuals across
several institutions.
The document is available here: https://doi.org/10.25344/S4Z88F
The PRIF specification is governed by a formal PRIF Committee. For more
details, see: https://go.lbl.gov/prif-governance
The Committee vote to approve the technical content in this revision
began on 2026-04-30 and concluded successfully on 2026-05-18.
The 7-day committee comment period for cosmetic feedback began on
2026-05-21 and concluded on 2026-05-28 with no comments, and only minor
editorial changes by the Editor.
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[AMDGPU] Add islands to StructurizeCFG
Handle an "island", i.e. a block whose terminator is not rewritable
(e.g., a callbr) in this context and considered immutable from this
pass's perspective.
The island is left untouched; its edges are split into forwarders that
converge at a new Flow block (ExitFlow). The callbr's runtime target
choice is recovered as a per-target i1 "sel" phi and re-dispatched by a
structured ladder of 2-way branches:
callbr
/ | \
fwd_0 fwd_1 fwd_2 forwarders (intermediate target blocks)
\ | /
ExitFlow (Flow_0) -- sel_0? --> real_0
| else
Flow_1 --------- sel_1? --> real_1
| else
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[CFI] Refactor `CfiFunctionIndex` to externalize GUID calculation (#201635)
In preparation for PR #201370 - the goal is to decouple CFI from _how_
ThinLTO computes its GUIDs, and enable PR #184065 (for this
[RFC](https://discourse.llvm.org/t/rfc-keep-globalvalue-guids-stable/84801)).
This PR just changes APIs and the internal implementation of
CfiFunctionIndex, the subsequent one (201370) actually propagates GUIDs
through metadata. It's _almost_ NFC - the YAML format does change
though.
NAS-141068 / 26.0.0-RC.1 / Properly handle VM feature flag (by Qubad786) (#19056)
## Context
Middleware should expose the VM entitlement as "VMS" at the API boundary
and to any consumer that inspects license features. The signed license
PEM and signing daemon continue to carry "VM" as the JSON key, and
existing customer PEMs can't be re-keyed without re-signing, so the
translation has to happen middleware-side.
## Solution
A single `FEATURE_NAME_MAP` in license_utils.py translates "VM" → "VMS"
for both the daemon-signed and legacy parsers (the legacy-only JAILS →
APPS entry sits in the same map; it's a no-op on the modern path since
the daemon never emits "JAILS"). v26 and v27 SystemFeatureEnabledArgs
both accept "VMS" and carry from_previous / to_previous adapters so v25
/ v26 clients passing "VM" are translated transparently.
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[clang-doc] Wrap per thread arenas in an accessor for BUILD_SHARED (#201388)
It seems like for BUILD_SHARED builds of the toolchain on Windows,
specifically aarch64-windows-gnu hosts, the use of the `thread_local`
variables in Representation.cpp causes an issue at link time due to
non-explicit export. Instead, just wrap them in an accessor function,
which should solve the issue in a cross platform way.
Fixes #200915
[OFFLOAD][L0] Implement Event APIs (#201306)
Introduce a new L0EventTy type used to implement most of the Event APIs
of PluginInterface (all but getEventElapsedTimeImpl).
---------
Co-authored-by: Kevin Sala Penades <kevinsala.ks at gmail.com>
[clang][OpenMP] Improve loop structure for distributed loops
This is a part of a series of patches that rework OpenMP cross-team
reductions.
This patches wires the existing
`kmp_sched_distr_static_chunk_sched_static_chunkone` to be used by
CodeGen.
Example of the intended change of this patch:
```
target teams distribute parallel for reduction(+:s)
for (i = 0; i < N; i++) s += a[i];
```
Before:
```
__kmpc_distribute_static_init(91)
for (team_lb = team*nthreads; team_lb < N; team_lb += nteams*nthreads) {
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NAS-141261 / 26.0.0-RC.1 / Serialize rootfs read-only/sysext toggles with a shared lock (by anodos325) (#19070)
Remove the ability for concurrent calls to do things with root
filesystem unlocked (either administratively through
disable-rootfs-protection) or internal middleware callers that do things
in /usr to clobber each other.
Protection takes belt-and-suspenders approach of taking pthread lock,
then taking flock.
Original PR: https://github.com/truenas/middleware/pull/19069
Co-authored-by: Andrew Walker <andrew.walker at truenas.com>
[SelectionDAG] Fold extracts of subvector inserts
Fold extract_subvector(insert_subvector(...)) when the extraction is
outside the inserted subvector or the inserted subvector only amends
the extracted
In particular,
1. vA extract_subvector (vB insert_subvector(vB X, vC Y, C1), C2) =>
vA extract_subvector(X, C2) when [C2, C2 + A) intersect [C1, C1 + C)
is the empty set
2. ... => extract_subvector(Y, C2 - C1) if [C2, C2 + Y) is a subset of
[C1, C1 + C) - an existing simplification
3. ... => vA insert_subvector(vA extract_subvector(vB X, C2), vC Y, C1 - C2)
if [C1, C1 + C) is a subset of [C2, C2 + A) - that is, if you're only
updating the extracted sub-part.
Adds a regresssion tests for an infinite SelectionDAG cycle that is
fixed by a stack of commits that ends with this one.
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[SelectionDAG] Fold subvector inserts into concat operands
Push insert_subvector into the containing CONCAT_VECTORS operand when the insertion is wholly contained there.
AI note: an LLM generated the code and the test, I've read them
Co-Authored-By: OpenAI Codex <codex at openai.com>
[SelectionDAG] Fold extracts spanning concat operands
Factor the extract_subvector-of-CONCAT_VECTORS logic and handle
extracts that cover multiple whole concat operands by rebuilding a
smaller concat directly.
AI note: an LLM generated the code and the test, I've read them
Co-Authored-By: OpenAI Codex <codex at openai.com>
[SelectionDAG] Fold nonzero extract-of-extract indices
Generalize the extract_subvector-of-extract_subvector fold to compose
nonzero indices instead of only handling an outer index of zero.
AI note: an LLM generated the code and the test, I've read them
Co-Authored-By: OpenAI Codex <codex at openai.com>
[SelectionDAG] Track bitcast demanded elements in noundef tests
Bitcasts preserve undef/poison status, but vector bitcasts can change
which source lanes cover a demanded result lane. Map the demanded
element mask through fixed-length vector bitcasts before checking the
source where possible.
AI note: an LLM generated the code and the test, I've read them
Co-Authored-By: OpenAI Codex <codex at openai.com>
[SelectionDAG] Track demanded select elements in noundef checks
Propagate demanded elements through to the two arms of a select, and
check the condition with or without demanded elements depending on if
it's a vector or not.
AI note: an LLM generated the code and the test, I've read them
Co-Authored-By: OpenAI Codex <codex at openai.com>
[SelectionDAG] Look through freeze in undef demanded checks
There were cycles where the freeze combiner and thet
demanded-elements simplification code would get into fights about
whethere the operands to a shuffle or a concat should be
`freeze undef` or `undef` once the simplifier had concluded zero
elements were demanded from some operation. This PR prevents such
cases.
AI note: an LLM generated the code and the test, I've read them
Co-Authored-By: OpenAI Codex <codex at openai.com>
[SelectionDAG] Track demanded concat elements in noundef checks
Teach isGuaranteedNotToBeUndefOrPoison to distribute fixed-length
demanded element masks across CONCAT_VECTORS operands. This is part of
the series of fixes needed to resolve a SelectionDAG hang by making it
possible to prove certain values don't need to be frozen.
AI note: an LLM generated the code and the test, I've read them
Co-Authored-By: OpenAI Codex <codex at openai.com>
