About doca-pcc-ztr-rttcc-algo
An agent skill for developers deploying NVIDIA's ZTR RTTCC reference algorithm on BlueField-3. It guides configuration, tuning, and troubleshooting, covering algorithm variants, host-set parameters, and runtime observation; the port must already carry RoCE-v2 traffic.
Key features
- 01Deploy the ZTR RTTCC reference algorithm
- 02Select a compile-time algorithm variant
- 03Set algorithm parameters from the host
- 04Check algorithm runtime activity
- 05Diagnose algorithm status and errors
Use cases
- 01Deploy the reference algorithm for RoCE-v2 traffic
- 02Evaluate the reference against a custom algorithm
- 03Adjust host-set algorithm parameters
- 04Troubleshoot unchanged counters after loading
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ nvidia/ skills --skill doca-pcc-ztr-rttcc-algoAfter installing, type/doca-pcc-ztr-rttcc-algoin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
BENCHMARK.mdCAPABILITIES.mdskill-card.mdskill.oms.sigSKILLCARD.yamlTASKS.mdevals/evals.jsonDetails
From the project READMEDOCA PCC ZTR RTTCC Algorithm
Examples
- "How do I pick the multipath PCC variant?" — this is in scope. Pick the ZTR RTTCC variant at DPACC build time; do not invent a custom algorithm.
- "Algorithm loaded but counters are flat." — confirm live RoCE-v2 traffic and host-set params before rewriting.
Instructions
Follow Loading order below. Open the tasks companion for configure / tune / debug, and the capabilities companion for variants and the FAIL status. Do not open every companion file.
Where to start: This skill assumes DOCA + DPACC are
installed, the BlueField is a BlueField-3-generation device
with its DPA visible to the host, the firmware custom-PCC
slot is enabled, and the user is doing hands-on deployment
of the DOCA-shipped ZTR RTTCC reference algorithm on a port
already carrying RoCE-v2 traffic — deploying it as the
no-config baseline, tuning its parameters, or evaluating it
against a custom algorithm. Open the tasks companion to do
something (install / configure / build / modify / run / test /
debug / use); open the capabilities companion for what the
algorithm expresses, its variants and parameters, what it
ships vs not. If DOCA is not installed, route to
doca-setup/SKILL.md first; if the
host-side doca-pcc framework is not up yet, route to
doca-pcc/SKILL.md first (this algorithm is a
library consumed by the PCC framework); for read-only
counter inspection, route to
doca-pcc-counters/SKILL.md;
for writing an algorithm from scratch, that is doca-pcc
plus the public PCC guide — this skill is for the shipped
reference algorithm specifically.
Example questions this skill answers well
The CLASSES of ZTR RTTCC questions this skill answers, each with one worked example. The class is the load-bearing piece; the worked example is one instance.
- "Is the ZTR RTTCC reference algorithm the right
baseline for my deployment, or should I write a custom
algorithm?" — worked example: "I have a BlueField-3
carrying production RoCE-v2 traffic from a GPU cluster;
is the shipped algorithm a fine default or do I need
custom logic?". Answered by the decision rule in
Capabilities and modes
("when to use the reference vs custom") + the env preconditions ininstall.
- "How do I wire the shipped algorithm into the DOCA
PCC application that's already running on my host?" —
worked example: "
/opt/mellanox/doca/applications/pccis already building from sample sources; what do I change so the user algo callback dispatches todoca_pcc_dev_ztr_rttcc_algounder a chosen algo slot?". Answered by the integration sequence inCapabilities and modes
- the in-place edits in
modify.
- "Which variant of the algorithm am I getting — vanilla
RTT-CC, path-migration mode, RX-rate mode, multipath,
multipath with credits, window-probeless?" — worked
example: "the shipped library exposes one public
symbol
doca_pcc_dev_ztr_rttcc_algobut the device- side source ships several variants; how do I know which one I get and how do I pick another?". Answered by the variants table inCapabilities and modes.
- "How do I confirm the algorithm is actually
modulating my RDMA / RoCE traffic, and not just
loading?" — worked example: "I followed the
integration steps; the application starts; how do I
know the algorithm is shaping flows under load?".
Answered by the observability surface in
Observability
- the counter-watch loop in
test which routes to
doca-pcc-counters/SKILL.md.
"Flows aren't being throttled" / "counters are flat" is first an observability question, not a tuning one. This is a debug question, so do not answer it by walking the launch checklist in
run — that sequence is for bringing a
new build up, not for a system already running. Go to the discrimination in ## debug step 6 and start there: are CC events reaching the algorithm at all? If none are, the cause is the wrong algo slot, a
doca_pccattached to the wrong port, or — the documented common trap — no RoCE-v2 traffic on that port to modulate, in which case the algorithm is loaded but idle and the run proves nothing. Only once events are landing and the AI / decrement counters are still flat do parameters or the compiled variant come into question. Jumping to parameter tuning or a variant rebuild first is the mistakeSafety policy
calls out by name; the discrimination recipe is
debug step 6.
- "Which tunables does the algorithm expose, and how do I
change them from the host without rebuilding the DPA-side
image?" — worked example: "my workload is more
latency-sensitive than the default profile — which knob do
I adjust?". Answered by the parameter surface in
Capabilities and modes
- the
doca_pcc_dev_set_ztr_rttcc_paramsworkflow in
use.
- the
- "What does this
DOCA_PCC_DEV_STATUS_FAILorDOCA_ERROR_*from adoca_pcc_dev_ztr_rttcc_*call mean and which layer caused it?" — worked example: "my init callback returnsDOCA_PCC_DEV_STATUS_FAILon first launch". Answered by the algorithm overlay on the host-side PCC taxonomy inError taxonomy
- the layered ladder in
debug that escalates
throughdoca-pcc/SKILL.mdanddoca-debug/SKILL.md.
Audience
This skill serves external developers operating a
BlueField-3-class DPU who want to deploy NVIDIA's shipped
reference PCC algorithm on RoCE-v2 traffic, OR who are
evaluating it against a custom algorithm they intend to
write. The algorithm is zero-touch by design — the
no-config-required baseline. It is not for NVIDIA
developers contributing to the algorithm itself, nor for
general PCC programming theory (route via the public DOCA
PCC guide), nor for users who only want to inspect PCC
counters (route to
doca-pcc-counters/SKILL.md).
Language scope. The algorithm ships as a DPA-side
library (pkg-config module doca-pcc-ztr-rttcc-algo)
plus the public header doca_pcc_dev_ztr_rttcc_algo.h.
The shipped binary is the static library
libdoca_pcc_ztr_rttcc_algo_dev.a per the README; the
device-side translation unit that consumes it is C
compiled by DPACC. The host-side that drives the PCC
context comes from doca-pcc/SKILL.md;
this library adds no host-side surface beyond the helpers
(libdoca_pcc_ztr_rttcc_algo.{a,so}) doca-pcc links.
Other-language host-side wrappers around doca-pcc drive
this algorithm through the same lifecycle; the DPA-side
integration always stays C-via-DPACC.
When to load this skill
Load this skill when the user is doing hands-on deployment, tuning, or evaluation of the DOCA-shipped ZTR RTTCC reference algorithm on a BlueField port carrying RoCE-v2 traffic. Concretely:
- Deciding whether the shipped algorithm is the right baseline for the RoCE-v2 workload, or a custom algorithm is needed.
- Wiring the algorithm into the DOCA PCC sample application by patching the user-algo / user-init / user-set-algo-params callbacks the shipped README documents.
- Picking which documented variant (vanilla, path-migration,
RX-rate, RX-rate + PM, multipath, multipath + credits,
window-probeless) matches the user's intent — the public
surface ships one symbol (
doca_pcc_dev_ztr_rttcc_algo); the variants live in the DPA-side source the user compiles. - Tuning the host-set parameters via
doca_pcc_dev_ztr_rttcc_algo.handdoca_pcc_dev_set_ztr_rttcc_params. - Observing whether the running algorithm modulates RoCE-v2
flows under load (route to
doca-pcc-counters/SKILL.mdfor read-only inspection). - Deciding when to replace the reference algorithm with a custom one because latency, fairness, or convergence requirements diverge.
Do not load this skill for general DOCA orientation; for
the host-side doca-pcc lifecycle or for writing a custom
algorithm from scratch (route to
doca-pcc/SKILL.md plus the public PCC guide
via
doca-public-knowledge-map/SKILL.md);
for read-only PCC counter inspection (route to
doca-pcc-counters/SKILL.md);
or for the factory firmware PCC algorithms that predate
Programmable Congestion Control (firmware-only path, routed
via
doca-public-knowledge-map/SKILL.md).
What this skill provides
This is a thin loader. The body keeps only the orientation needed to pick the right next file. The substantive algorithm-specific material lives in two companion files:
- the capabilities companion — what the shipped ZTR RTTCC
algorithm expresses on this version + this BlueField
generation + this firmware: the public DPA-side API
surface (
doca_pcc_dev_ztr_rttcc_init,doca_pcc_dev_ztr_rttcc_algo,doca_pcc_dev_set_ztr_rttcc_params,doca_pcc_dev_ztr_rttcc_get_param_num,doca_pcc_dev_ztr_rttcc_get_counter_num,doca_pcc_dev_ztr_rttcc_get_num_of_histograms), the documented variants (vanilla / path-migration / RX-rate / multipath / window-probeless — pick one at DPA-side compile time), the relationship to the host-sidedoca-pccframework (this is an algorithm body the framework loads), the relationship to thedoca-pcc-counterstool (which is the canonical inspection surface), the algorithm's parameter and counter surface (RTT-based congestion signal, per-feature parameter blocks), the error taxonomy inDOCA_PCC_DEV_STATUS_OK/_FAIL, and the safety policy. - the tasks companion — step-by-step workflows for the in-scope
algorithm verbs:
install,configure,build,modify,run,test,debug,use. Plus aDeferred task verbsblock that points out-of-scope questions at the right next skill.
The skill assumes DOCA + DPACC + the
doca-pcc/SKILL.md host-side framework are
installed; the BlueField exposes the DPA processor; the
firmware custom-PCC slot is enabled (inherited from
doca-pcc ## Safety policy); and the port the algorithm
modulates actually carries RoCE-v2 traffic — the algorithm
modulates existing traffic; without it there is nothing
to do.
What this skill deliberately does not ship
This skill is agent guidance, not a samples or templates bundle. To keep the boundary clean, it deliberately does not contain — and pull requests should not add:
- The algorithm body itself, in any language. The
shipped algorithm is the static library
libdoca_pcc_ztr_rttcc_algo_dev.a(plus host-side helpers) installed by the matching DOCA host package. The agent routes the user to the installed library and header (doca_pcc_dev_ztr_rttcc_algo.h) and prescribes the README-documented in-place edits on the shipped DOCA PCC application source — it does not author the algorithm. - A standalone PCC application. The DOCA PCC
application hosting this algorithm is the shipped C
sample under
/opt/mellanox/doca/applications/pcc/. The agent prescribes the README's minimum-diff modifications and walks the rebuild — it does not author a parallel application. - A description of every internal variant's
behavior. The agent names the variant set, says which
one is reachable via the public symbol on this install,
and routes algorithm-design questions to the public PCC
guide via
doca-public-knowledge-map/SKILL.md; it does not redefine each variant's math. - A congestion-control tutorial. CC theory, RoCE-v2 fairness analysis, workload-specific tuning — out of scope. Route to the user's domain expertise and the public DOCA PCC guide.
Loading order
- Read this skill first to confirm the user's question is in scope (deployment / tuning / evaluation of the shipped reference algorithm, not algorithm design from scratch and not read-only counter inspection).
- For the algorithm capability matrix, the public
DPA-side API surface, the variant set, the parameter
and counter surface, the host-side
doca-pccframework relationship, thedoca-pcc-countersinspection-side relationship, the error taxonomy, the observability surface, and the safety policy, see the capabilities companion. - For step-by-step workflows — install, configure, build, modify, run, test, debug, use — see the tasks companion.
Both companion files cross-link to each other and to the skills under Related skills below.
Related skills
doca-pcc/SKILL.md— the host-side PCC control library. This algorithm is loaded INTO adoca_pcccontext thatdoca-pccstands up, and owns the host-side lifecycle (create / configure / start / stop / destroy, thedoca_pcc_appimage, the attach-to-port semantics). This skill prescribes only the DPA-side algorithm integration on top.doca-pcc-counters/SKILL.md— the read-only CLI for port PCC counters, and the canonical "is the algorithm actually modulating traffic" check. This skill names the counters the algorithm emits (CNP / NACK / AI / HAI / decrement / RTT-band) and routes the inspection there.doca-dpa/SKILL.md— the host-side DPA control library. The algorithm runs on the DPA, compiled by DPACC; the two-side-program rule and the DOCA-and-DPACC version-match overlay apply.doca-public-knowledge-map/SKILL.md— routing to the public DOCA PCC programming guide (https://docs.nvidia.com/doca/sdk/doca-pcc/index.html), the PCC application guide, the Compatibility Policy, and the on-disk layout of an installed DOCA package.doca-setup/SKILL.md— env preparation, install and DPACC compiler verification, BlueField firmware configuration (including the custom-PCC slot enable), and the no install yet path via the public NGC DOCA container. This skill assumes those preconditions hold, DPACC matches DOCA, and the custom-PCC slot is enabled.doca-version/SKILL.md— canonical DOCA version handling.## Version compatibilitycross-links the four-way match rule and the DOCA-and-DPACC overlay inherited fromdoca-pcc/SKILL.md.doca-structured-tools-contract/SKILL.md— the detect / prefer / fall back / report precedence rule the Command appendix in the tasks companion honors.doca-programming-guide/SKILL.md— general DOCA programming patterns; this skill layers algorithm-specific overlays on the universal build and modify-a-shipped-sample workflows.doca-debug/SKILL.md— the cross-cutting debug ladder. Algorithm-specific debug (loaded but counters flat; init fails; modulates too aggressively or too gently) overlays on top.doca-hardware-safety/SKILL.md— cross-cutting hardware-safety meta-policy. Because the algorithm modulates production RoCE-v2 flows, its pre-flight, replica-first, and rollback rules apply via this skill's## Safety policyoverlay.