
DOCA SHA Offload Engine
OfficialFreeEffortlessly offload SHA hashing to DOCA hardware.
Free · Opens the source repo
What DOCA SHA Offload Engine does
The DOCA SHA Offload Engine is designed for developers and operators looking to integrate SHA-1, SHA-256, or SHA-512 hashing into existing OpenSSL-based applications without the need for extensive code modifications. This skill allows users to leverage NVIDIA's DOCA hardware acceleration for SHA hashing, effectively offloading the processing from the CPU to specialized hardware. By using the OpenSSL ENGINE interface, this skill provides a seamless way to enhance performance while maintaining compatibility with existing applications that utilize the EVP_Digest interface.
To get started, users can refer to the bundled documentation, particularly the TASKS.md file, which outlines the necessary steps for configuring the engine and verifying its operation. The engine is not a command-line interface; instead, it is a shared object that must be loaded into an OpenSSL-based application. This means that developers can drop the DOCA SHA Offload Engine into their existing pipelines, allowing them to speed up SHA hashing operations without rewriting their applications against the DOCA API.
The skill also includes detailed guidance on how to verify that the engine is functioning correctly and that the offload is actually taking place. Users can test the performance benefits of the engine versus traditional CPU hashing methods by following the provided benchmarks and performance comparisons. This is particularly useful for performance engineers and SREs who need to assess whether the offload provides tangible benefits for their specific workloads.
In summary, the DOCA SHA Offload Engine is a valuable tool for those looking to enhance their SHA hashing capabilities in OpenSSL applications, providing a straightforward path to hardware acceleration without the need for significant code changes.
When to use it
Use this skill when you want to offload SHA hashing in an existing OpenSSL pipeline without modifying the application code.
When not to use it
This skill is not suitable for building new SHA pipelines from scratch or for offloading algorithms other than SHA-1, SHA-256, and SHA-512.
What you can build with it
Integrating DOCA SHA into an existing service
A developer needs to enhance an existing OpenSSL-based service by offloading SHA hashing to DOCA without rewriting the application.
Performance testing of SHA offload
An SRE is tasked with measuring the performance improvements of SHA hashing in their OpenSSL pipeline using the DOCA SHA Offload Engine.
Verifying engine functionality
An operator wants to ensure that the DOCA SHA engine is correctly loaded and operational within their OpenSSL application.
How to install DOCA SHA Offload Engine
View source1. Install with the skills CLI
npx skills add nvidia/skills/doca-sha-offload-engine --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by nvidiaDOCA SHA Offload Engine
Where to start: This is a tool skill for the OpenSSL
ENGINE shipped in the DOCA SOURCE tree under
doca/tools/sha_offload_engine/ and INSTALLED on the host
under ${DOCA_DIR}/tools/doca_sha_offload_engine/ as
libdoca_sha_offload_engine.so. The directory-name shift
(sha_offload_engine in the source layout vs
doca_sha_offload_engine in the install layout) is an
NVIDIA packaging convention, not a bundle inconsistency;
both forms appear below and are the same artifact at
different lifecycle stages — quote whichever the prompt is
about (build-from-source vs runtime-load). It is not a CLI —
it is a shared object loaded by an OpenSSL-based
application or by openssl itself, that re-routes SHA-1 /
SHA-256 / SHA-512 (one-shot only, via the EVP_Digest
interface) onto the DOCA SHA hardware path. Open
TASKS.md and start at
## configure for the PCIe-address
configuration and the OpenSSL prerequisites; jump to
## run for the "load the engine and
prove it actually runs" flow. Open
CAPABILITIES.md when the question is
what the engine actually offloads vs falls back to,
when the engine is a perf win vs not, or how to verify
offload actually engaged. If DOCA is not installed yet,
route to doca-setup first.
If the user is building a new SHA pipeline from scratch
(not wrapping an existing OpenSSL-based one), this skill
is the wrong surface — route to
../../libs/doca-sha/SKILL.md
instead.
Example questions this skill answers well
The CLASSES of doca-sha-offload-engine questions this
skill is built to answer, each with one worked example.
The class is the load-bearing piece; the worked example
is one instance.
- "I have an existing OpenSSL-based pipeline doing SHA;
can I offload the SHA to DOCA without rewriting the
app?" — worked example: "the app uses
EVP_DigestInit_ex/EVP_DigestUpdate/EVP_DigestFinal_exagainstEVP_sha256(); can I drop in DOCA-SHA offload via an engine load?". Answered by the "when this engine is the right surface" rule inCAPABILITIES.md ## Capabilities and modes- the engine-load mechanics in
TASKS.md ## configure.
- the engine-load mechanics in
- "Did the engine actually load? Or did OpenSSL just
fall back to software SHA?" — worked example: "my
openssl dgstinvocation completed; how do I know DOCA SHA actually did the work and OpenSSL did not silently use the software path?". Answered by the "prove the engine actually ran" pattern inCAPABILITIES.md ## Observability(the SHA-224 negative test and the-engine_implflag) + the verification flow inTASKS.md ## test. - "For what message-size range is the engine offload a
win vs CPU SHA?" — worked example: "my pipeline
hashes 4 KB blocks at a time; is the engine a win
there, or does the round-trip to DOCA SHA cost more
than the CPU hash itself?". Answered by the
message-size-window rule in
CAPABILITIES.md ## Capabilities and modes- the
openssl speedperf-comparison pattern inTASKS.md ## test.
- the
- "What SHA algorithms does the engine actually
support — and what happens for the ones it does not?"
— worked example: "my pipeline mixes SHA-1, SHA-256,
SHA-512, and SHA-224 — what does the engine do for
each?". Answered by the algorithm-coverage matrix in
CAPABILITIES.md ## Capabilities and modes. - "Should I use this engine, or call doca-sha
directly?" — worked example: "I am writing a new
service from scratch; does the engine save me work or
does it add complexity I do not need?". Answered by
the "engine vs library" selection table in
CAPABILITIES.md ## Capabilities and modes. - "What OpenSSL versions does the engine require, and
what about OpenSSL 3.x's deprecation of the ENGINE
API?" — worked example: "my host has OpenSSL 3.0;
will the engine still load?". Answered by the version
overlay in
CAPABILITIES.md ## Version compatibility(verified surface: the engine is documented for OpenSSL 1.1.1f on Ubuntu 20.04 and OpenSSL 3.0.2 on Ubuntu 22.04 per the shippedreadme.md).
Audience
This skill serves external developers and operators who have an existing OpenSSL-based pipeline doing SHA hashing and want to offload SHA onto DOCA SHA without rewriting their application against the doca-sha C API. Concretely:
- A developer integrating DOCA SHA acceleration into a
service that already uses
EVP_Digestfor SHA-1 / SHA-256 / SHA-512. - An operator deploying an
openssl dgst/openssl speedbased pipeline and wanting to measure the win from DOCA SHA offload without changing the pipeline's invocation surface. - An SRE / performance engineer producing a "this is the engine-offload win vs CPU SHA on this message-size mix" artifact to inform a code-change decision (e.g. "should we adopt the engine as-is, or rewrite to doca-sha for finer control?").
- An AI agent answering "can I drop DOCA SHA into this OpenSSL-based app without code changes" honestly — with the verified algorithm-coverage matrix, the message-size window, and the verification pattern that proves the engine actually ran.
It is not for users building a new SHA pipeline from
scratch (route to
../../libs/doca-sha/SKILL.md),
not for users wanting MD5 / SHA-2-224 / SHA-3 /
HMAC-SHA offload (the engine does not implement those —
the verified surface per the engine's source is one-shot
SHA-1, SHA-256, SHA-512 via EVP_Digest), and not a
substitute for the public DOCA SHA programming guide.
Language scope
The DOCA SHA Offload Engine is shipped as a C dynamic
shared object (libdoca_sha_offload_engine.so) built
from doca/tools/sha_offload_engine/{engine/doca_sha_offload_engine.c, lib/doca_sha_offload_lib.{c,h}} via meson. Its
consumer interface is OpenSSL's ENGINE API; any
language that calls OpenSSL (C, C++, Rust via openssl
crate, Python via cryptography and pyca/cryptography's
backend, Node via node:crypto) can therefore use the
engine, provided the language binding either calls
ENGINE_load_dynamic / ENGINE_by_id directly or honors
an OpenSSL engines config that loads it. The skill's
language-neutral contribution is the engine-load mechanics
and the verification pattern; the OpenSSL ENGINE API is
the contract.
When to load this skill
Load this skill when the user is — or the agent needs to — deploy the DOCA SHA Offload Engine into an OpenSSL-based pipeline on a host with DOCA installed and a SHA-capable device. Concretely:
- Wiring the engine into an existing OpenSSL-based
application or
opensslCLI invocation, with the intent of no source-level code changes (or only the minimumENGINE_load_dynamic/ENGINE_by_idblock shown in the verifiedreadme.md). - Verifying the engine actually engaged for the hot-path digests (the "is offload real or did OpenSSL fall back to software" question).
- Characterizing the message-size range over which the
engine is a perf win vs the CPU
sha1/sha256/sha512paths. - Deciding between "adopt the engine" (existing pipeline, minimal change) and "rewrite to doca-sha" (new pipeline, fine-grained control needed).
Do not load this skill for users building a new
SHA-pipeline from scratch — route to
../../libs/doca-sha/SKILL.md.
Do not load this skill for users wanting algorithms the
engine does not implement (MD5, SHA-3, SHA-224, HMAC-SHA,
streaming/incremental SHA via EVP_DigestUpdate chains
that the engine treats as one-shot only).
What this skill provides
This is a thin loader. Substantive material lives in two companion files:
CAPABILITIES.md— what the engine offloads (verified: one-shot SHA-1, SHA-256, SHA-512 via the OpenSSLEVP_Digesthigh-level interface), what it does NOT offload (anything else — including SHA-224, MD5, SHA-3, HMAC-SHA, and any chainedEVP_DigestInit_ex/EVP_DigestUpdate/EVP_DigestFinal_expattern that the engine implements by buffering and then calling DOCA SHA in one shot atFinal), the engine-vs-library selection rule, the message-size-window rule for when offload is a perf win, the verified ctrl-cmd surface (set_pci_addr), the version overlay (OpenSSL ≥ 1.1.1; the engine's shipped tests cover OpenSSL 1.1.1f and OpenSSL 3.0.2 per thereadme.md; OpenSSL 3.x deprecates the ENGINE API but still supports it via the legacy code path), the layered error taxonomy, the observability surface (the "prove offload engaged" pattern using the SHA-224 negative test and-engine_impl), and the safety overlay.TASKS.md— step-by-step workflows for the in-scope task verbs:install,configure(PCIe address selection — the engine defaults to03:00.0and exposes theset_pci_addrctrl-cmd plus a build-time override per the shippedtest_cmdline_mode/readme.md),build(themesonflow),modify(refuses source patching; modify the load-time invocation and the PCIe address instead),run(load the engine viaopenssl engine dynamic; the verification pattern; the OpenSSL programmaticENGINE_load_dynamicblock),test(the "prove the engine ran" SHA-224 negative test; theopenssl speedperf comparison; the message-size window characterization),debug(walk the error taxonomy layer by layer),use(the engine-vs-library decision for the user's specific pipeline), plus aDeferred task verbsblock.
The skill assumes a host where DOCA is already installed,
OpenSSL ≥ 1.1.1 is present (libssl-dev or equivalent),
and the deploying user can access the selected DOCA SHA PCIe device. Verify
device visibility and run the engine-load smoke as that same user before
integration; if either fails with a permission error, stop and route to
doca-setup rather than guessing a group, ACL, or sudo policy.
What this skill deliberately does not ship
This skill is agent guidance, not a samples or scripts bundle. It deliberately does not contain — and pull requests should not add:
- Pre-written OpenSSL ENGINE application source code
beyond the verbatim verified block in the shipped
readme.md(theENGINE_load_dynamic/ENGINE_by_id/ENGINE_ctrl_cmd_string/ENGINE_init/ENGINE_set_default_digestssequence, cross-referenced intoTASKS.md ## run). The shipped readme is the worked example. - A
samples/,bindings/, orreference/subtree. This is a thin loader for a shipped shared-object; substantive material lives in the shippedreadme.mdand the doca-sha library docs. - Performance numbers from agent memory. The
message-size-window where the engine wins is
device-, firmware-, OpenSSL-version-, and
workload-specific. The
openssl speedcomparison pattern inTASKS.md ## testis the way to capture it on the user's actual hardware; quoting a number from memory is the cross-platform failure mode this skill exists to prevent. - Wrappers, parsers, or scripts in any language
that consume the engine's stdout or the
openssl speedoutput format.
Loading order
- Read this
SKILL.mdfirst to confirm the user's question is in scope (the user actually has an existing OpenSSL-based pipeline and wants to offload to DOCA SHA without code changes; if the user is building from scratch, route to../../libs/doca-sha/). - For what the engine offloads vs falls back, the engine-vs-library selection rule, the message-size- window rule, the version overlay, the error taxonomy, the observability surface (and the prove-offload- actually-engaged pattern), and the safety overlay, see CAPABILITIES.md.
- For step-by-step workflows —
install,configure,build,modify,run,test,debug,use— see TASKS.md.
Related skills
../../libs/doca-sha/SKILL.md— the underlying DOCA SHA library. The engine is a thin OpenSSL-ENGINE wrapper around doca-sha; when the user needs fine-grained control over the SHA task surface (partial-hash, custom buffer permissions, cap-query for unusual message sizes), the library is the right answer. The engine wraps the one-shot task; the library exposes both one-shot and partial- hash per../../libs/doca-sha/CAPABILITIES.md#capabilities-and-modes.doca-version— the canonical version-detection chain. The engine has a TWO-axis version overlay (DOCA-side and OpenSSL-side); the version skill carries the four-way match rule this skill layers on top of.doca-debug— the cross-cutting debug ladder. The engine surfaces its own error taxonomy; when the cause is below DOCA (driver, firmware), the taxonomy hands off here.doca-setup— env preparation, install verification, thelibssl-devinstall path, and the NGC DOCA container path.doca-public-knowledge-map— routing to the public DOCA SHA documentation set ondocs.nvidia.com/doca/sdk/and to the OpenSSL ENGINE /openssl-engineupstream documentation onopenssl.org.doca-hardware-safety— the bundle-wide hardware-safety meta-policy. The engine binds to a specific PCIe device; theset_pci_addrctrl is the artifact-specific overlay, but any host-side change underneath (firmware burn, BFB reflash) runs through the meta-policy.
Frequently asked questions about DOCA SHA Offload Engine
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