개발 스킬

Connect existing DOCA Flow processing rules and resources to BlueField’s DPA processor. The skill guides export sequencing, operation queues, counter access, and entry or memory updates, and helps diagnose failures between host setup and device-side access.

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• Expose an existing DOCA Flow pipe to a DPA kernel
• Investigate exported entries that the kernel cannot see
• Check queues for counter access and entry updates

Develop messaging between a host and BlueField using DOCA Comch. Guides server and client setup, selection of simple messaging or higher-throughput data transfer, capability checks, and diagnosis of connection, permission, and API errors.

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• Exchange control messages between a host and BlueField
• Choose a transfer mode for bulk data
• Check message-size and client-count limits

Configure DOCA Ethernet packet queues on BlueField or ConnectX devices. Get guidance on choosing receive queue types, submitting packets for transmission, checking device capabilities, and diagnosing errors while managing receive and transmit queues separately.

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• Setting up Ethernet receive and transmit queues
• Choosing a receive queue type for incoming data
• Checking burst limits and checksum offload support

Guide DOCA Management programming for BlueField and ConnectX devices. Set up management contexts, query capabilities, change device settings, and investigate errors, using installed reference samples and checks before and after changes.

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• Querying BlueField device capabilities in a fleet tool
• Changing data-direct settings for a virtual function
• Setting ICM quotas for devices or representors

Implement and troubleshoot storage recovery with DOCA Erasure Coding. The skill guides parity generation, lost-block recovery, and incremental parity updates using Reed-Solomon coding, while checking device capabilities, block limits, and memory permissions.

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• Recover missing data or parity blocks
• Update parity after one data block changes
• Check device support for a storage layout

Develop host-side applications that run work on BlueField's DPA, a data-path processor. Load compiled application images, launch kernels, observe completion, check supported features, and investigate errors involving hardware capabilities or DOCA and DPACC compatibility.

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• Loading a DPA application image and launching kernels from the host
• Investigating missing kernel completion notifications
• Checking which DPA features a BlueField supports

Build and debug the shared foundations of DOCA applications on BlueField or ConnectX hardware. Get guidance on device capabilities, memory buffers, context lifecycles, task completion processing, and separate logging controls for the SDK and application.

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• Setting up the foundations of a DOCA application
• Investigating tasks that submit but never complete
• Sharing memory buffers across DOCA libraries

Implement memory copies with DOCA DMA, which transfers data using the device rather than the host CPU. Get guidance on initialization, buffer limits, memory permissions, task completion, and diagnosing errors against the locally installed SDK.

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• Implement a host-to-BlueField memory copy
• Check buffer size limits and scatter-gather support
• Investigate permission errors or missing task completion

Build and troubleshoot applications that move DEFLATE compression and decompression, or LZ4 decompression, to DOCA-supported hardware. Guidance covers device capabilities, buffer sizes, memory permissions, validation, and deciding when CPU processing is more suitable.

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• Moving bulk DEFLATE compression to hardware
• Decompressing incoming network data
• Checking device support and buffer limits

Develop DOCA Rivermax applications that receive timing-sensitive video, audio, and other data over IP networks. Get guidance on receive stream setup, device capability checks, and troubleshooting errors or missing receive events.

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• Set up an SMPTE ST 2110 receive stream
• Investigate a stream that receives no frames
• Check supported clock and packet placement options

Build and troubleshoot custom plug-ins for workloads that doca-bench cannot measure with its built-in modes. Use the shipped CUDA example to guide shared-library construction, check loading and version compatibility, and verify a small test before larger runs.

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• Checking whether a workload needs a custom extension
• Building a GPU benchmark plug-in from the shipped example
• Diagnosing a custom shared library that will not load

Build a first DOCA application by adapting an installed sample. Get guidance on build configuration, object setup and shutdown order, and common errors, plus how other languages access DOCA through its public C interface.

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• Adapting an installed sample into a first DOCA application
• Configuring a build with pkg-config and meson
• Checking object lifecycle order and common errors

Build and troubleshoot data transfers with DOCA RDMA, which accesses remote memory over a network adapter. Start from installed samples, choose connection methods and permissions, check device capabilities, and investigate missing completions or queue errors.

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• Building data transfers between processes or hosts
• Diagnosing permission errors in remote reads and writes
• Investigating missing completions or queue saturation

Guides AES-GCM encryption and decryption development with DOCA on BlueField or ConnectX hardware. Covers supported key sizes, buffer permissions, published test vectors, and authentication tags, which detect altered data, including how to handle verification failures.

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• Checking device support for AES-GCM key sizes
• Configuring encryption and decryption buffer permissions
• Testing encryption and decryption with published vectors

Build SHA hashing applications for BlueField or ConnectX accelerators with guidance on single-request versus chunked processing, supported algorithms, buffer sizes, memory permissions, and errors returned by the DOCA SHA API.

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• Offloading SHA-256 hashing to BlueField
• Choosing single-request or chunked hashing
• Checking algorithm support and buffer limits

Integrate DOCA SHA hardware into an existing OpenSSL workflow for one-shot hashing. The skill guides engine loading, checks whether hardware actually performed the work, and compares measured performance with CPU hashing to assess when offloading helps.

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• Offload SHA hashing in an existing OpenSSL workflow
• Verify that hashing actually used DOCA hardware
• Compare hardware and CPU hashing performance

Investigate DOCA build failures, runtime errors, and silent tools by checking each system layer. Get guidance on increasing log detail and collecting reproducible evidence for troubleshooting or a Developer Forum question.

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• Identify the layer behind a DOCA build or runtime failure
• Increase log detail for a silent DOCA tool
• Collect reproducible evidence for a forum question

Build video analytics applications with NVIDIA DeepStream and Python's pyservicemaker API. The skill guides video input, object detection, optional tracking, annotated output, and Kafka messaging, with configuration guidance and fixes for common pipeline errors.

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• Detect objects in video files or camera streams
• Track objects across video frames
• Send detection results to Kafka

Port quantum circuits from Qiskit or other frameworks into CUDA-Q while preserving the original algorithm. Guides gate conversion, measurement ordering, precision checks, and small test comparisons to produce code that runs without the source framework.

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• Porting Qiskit circuits to CUDA-Q
• Comparing measurement results after migration
• Removing source framework dependencies

Start a cuOpt REST server and build Python or curl clients to submit routing and optimization problems. Follow result polling, translate Python API field names into REST fields, and diagnose rejected requests.

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• Start a cuOpt server locally or in Docker
• Submit a routing problem from Python
• Retrieve optimization results by polling

Modify NVIDIA cuOpt itself, covering C++/CUDA solver code, Python bindings, server endpoints, and CI. Follow project conventions for environment setup, builds, tests, debugging, and contributions, including the required sign-off for submitted changes.

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• Fixing solver internals and investigating numerical issues
• Changing Python APIs or server endpoints
• Setting up a development environment and running tests

Measure and tune a DeepStream video pipeline using Nsight Systems. The skill benchmarks inference batch sizes, derives configuration settings from measurements and GPU limits, and reports FPS, processing bottlenecks, and available timings for individual processing components.

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• Benchmark video processing FPS
• Tune settings for multiple video streams
• Identify processing bottlenecks

Customize NVIDIA Nemotron Voice Agent’s Generic Pipecat example for appointment scheduling, five-field patient intake, or a custom healthcare conversation. Build prompts and tool handlers without a separate backend, then validate conversation behavior, services, and voice interaction.

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• Build an appointment-scheduling voice agent
• Collect five patient-intake fields through conversation
• Design a custom healthcare conversation with tool calls

Get guidance on installing CUDA-Q, writing quantum processing functions, and choosing CPU or GPU simulation targets. Also covers connecting to quantum processors, running a Bell-state example, and selecting approaches for execution across multiple devices.

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• Installing CUDA-Q and checking a first example
• Choosing CPU or GPU simulation targets
• Writing and debugging Python quantum kernels