nvidia-holoscan/holohub
Nov 2024 – Mar 2026
9 Months active
Languages Used
C++CMakeMarkdownPythonShellYAMLBash
Technical Skills
BenchmarkingC++ DevelopmentCMakeConfiguration ManagementDebuggingDocumentation
Soham Sinha
PROFILE
Soham Sinha
Over nine months, contributed to the nvidia-holoscan/holohub repository by developing GPU-resident imaging pipelines, real-time benchmarking tools, and deployment tutorials for Holoscan-based medical and computer vision workflows. Delivered features such as a GPU-resident IMX274 camera application using CUDA, DOCA, and Docker, as well as asynchronous buffer performance studies leveraging C++ and SCHED_DEADLINE. Enhanced benchmarking reliability and reporting through Python scripting and shell automation, while improving documentation for onboarding and compatibility. Addressed edge cases in data analysis and containerization, enabling reproducible, high-performance GPU workflows. The work demonstrated depth in system integration, performance profiling, and robust configuration management across platforms.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
16Total
Bugs
2
Commits
16
Features
10
Lines of code
17,547
Activity Months9
Your Network
1671 peopleSame Organization
@nvidia.com1629
Shared Repositories
42
Work History
March 2026
3 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for nvidia-holoscan/holohub focused on delivering a GPU-resident imaging pipeline for the IMX274 camera using Holoscan, Sensor Bridge, and DOCA GPUNetIO RoCE Receiver. Delivered end-to-end GPU-resident processing and display with new operators, a Dockerized GPU runtime, and updated docs/tests. Also advanced installation guidance for NVIDIA drivers and G-SYNC/VRR requirements to ensure correct deployment and hardware compatibility. The work improved latency, throughput, and deployment reproducibility, enabling customers to run GPU-resident imaging workloads with minimal setup.
3 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for nvidia-holoscan/holohub focused on delivering a GPU-resident imaging pipeline for the IMX274 camera using Holoscan, Sensor Bridge, and DOCA GPUNetIO RoCE Receiver. Delivered end-to-end GPU-resident processing and display with new operators, a Dockerized GPU runtime, and updated docs/tests. Also advanced installation guidance for NVIDIA drivers and G-SYNC/VRR requirements to ensure correct deployment and hardware compatibility. The work improved latency, throughput, and deployment reproducibility, enabling customers to run GPU-resident imaging workloads with minimal setup.
March 2026
February 2026
1 Commits
Feb 1, 2026February 2026 performance summary for nvidia-holoscan/holohub focused on stabilizing and improving Flow Benchmarking data integrity. Delivered a robust fix that ensures metrics are reported accurately even with sparse data or empty groups/paths, resulting in more reliable benchmarks and dashboards.
February 2026
1 Commits
Feb 1, 2026February 2026 performance summary for nvidia-holoscan/holohub focused on stabilizing and improving Flow Benchmarking data integrity. Delivered a robust fix that ensures metrics are reported accurately even with sparse data or empty groups/paths, resulting in more reliable benchmarks and dashboards.
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for nvidia-holoscan/holohub. Delivered a Real-time Async Buffer Performance Study app and tutorials to evaluate asynchronous lock-free buffers under SCHED_DEADLINE. Created an end-to-end experimental framework (CMake, main.cpp, tutorials, README, and scripts) to demonstrate decoupled operator performance in real-time scenarios, enabling data-driven optimization and repeatable benchmarks for Holoscan operators.
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for nvidia-holoscan/holohub. Delivered a Real-time Async Buffer Performance Study app and tutorials to evaluate asynchronous lock-free buffers under SCHED_DEADLINE. Created an end-to-end experimental framework (CMake, main.cpp, tutorials, README, and scripts) to demonstrate decoupled operator performance in real-time scenarios, enabling data-driven optimization and repeatable benchmarks for Holoscan operators.
August 2025
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for nvidia-holoscan/holohub: Delivered essential documentation and configuration updates for the high_speed_endoscopy workflow, enabling faster onboarding, reliable builds, and up-to-date benchmarking references. No major bugs fixed this month; efforts focused on improving reproducibility and performance validation.
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for nvidia-holoscan/holohub: Delivered essential documentation and configuration updates for the high_speed_endoscopy workflow, enabling faster onboarding, reliable builds, and up-to-date benchmarking references. No major bugs fixed this month; efforts focused on improving reproducibility and performance validation.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for nvidia-holoscan/holohub: Focused on improving benchmark reporting quality and consistency to accelerate performance analysis and decision-making.
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for nvidia-holoscan/holohub: Focused on improving benchmark reporting quality and consistency to accelerate performance analysis and decision-making.
May 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for nvidia-holoscan/holohub focusing on container CUDA MPS integration. Delivered container-side MPS support by introducing a new --mps flag in the dev_container script and enabling mounting of CUDA MPS host directories into the container, enabling MPS workflows within the containerized environment and improving GPU utilization.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for nvidia-holoscan/holohub focusing on container CUDA MPS integration. Delivered container-side MPS support by introducing a new --mps flag in the dev_container script and enabling mounting of CUDA MPS host directories into the container, enabling MPS workflows within the containerized environment and improving GPU utilization.
January 2025
2 Commits • 2 Features
Jan 1, 2025January 2025 (nvidia-holoscan/holohub) monthly summary: Delivered two strategic features that expand deployment options and improve performance observability. Key features: Holoscan Windows Interoperability Tutorial with GPU passthrough for Windows VMs, and Nsight Systems profiling inside the iGPU container. No major bugs fixed in this period. Impact: Enables Windows-based Holoscan integrations for medical devices and provides deep profiling visibility (CUDA, Vulkan, NVTX, OSRT) to drive performance optimizations and faster time-to-value for customers. Technologies demonstrated: Windows GPU passthrough, Nsight Systems, CUDA, Vulkan, NVTX, OSRT, iGPU containerization, host tooling.
2 Commits • 2 Features
Jan 1, 2025January 2025 (nvidia-holoscan/holohub) monthly summary: Delivered two strategic features that expand deployment options and improve performance observability. Key features: Holoscan Windows Interoperability Tutorial with GPU passthrough for Windows VMs, and Nsight Systems profiling inside the iGPU container. No major bugs fixed in this period. Impact: Enables Windows-based Holoscan integrations for medical devices and provides deep profiling visibility (CUDA, Vulkan, NVTX, OSRT) to drive performance optimizations and faster time-to-value for customers. Technologies demonstrated: Windows GPU passthrough, Nsight Systems, CUDA, Vulkan, NVTX, OSRT, iGPU containerization, host tooling.
January 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024Monthly summary for 2024-12: Documentation update in nvidia-holoscan/holohub clarifies CUDA MPS compatibility with Endoscopy Tool Tracking. The README now notes that CUDA MPS is not supported after a specific version due to the unavailability of CUDA dynamic parallelism, and it directs testing to an earlier SDK version. This proactive guidance reduces testing friction, prevents misconfigurations, and lowers support overhead for customers integrating Endoscopy Tool Tracking with Holohub. Commit 0071ff05ca22fafb360ae7d8cf920c2d2bdcecaa.
December 2024
1 Commits • 1 Features
Dec 1, 2024Monthly summary for 2024-12: Documentation update in nvidia-holoscan/holohub clarifies CUDA MPS compatibility with Endoscopy Tool Tracking. The README now notes that CUDA MPS is not supported after a specific version due to the unavailability of CUDA dynamic parallelism, and it directs testing to an earlier SDK version. This proactive guidance reduces testing friction, prevents misconfigurations, and lowers support overhead for customers integrating Endoscopy Tool Tracking with Holohub. Commit 0071ff05ca22fafb360ae7d8cf920c2d2bdcecaa.
November 2024
4 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11: Delivered a new video stream replayer option in model_benchmarking to enable benchmarking with pre-recorded video data, expanding test coverage and improving reproducibility. Simultaneously enhanced benchmarking reliability and documentation through targeted fixes: corrected metric mappings to separate Max vs. Std Deviation, hardened patch_application.sh to modify only holoscan::Application definitions, and refined logger messaging to produce accurate new log directory paths. Updates to CMakeLists.txt and the YAML configuration ensured smooth integration. These efforts improved benchmark determinism, reduced debugging time, and lowered risk of unintended edits during patching. Technologies demonstrated include CMake, YAML configurations, scripting hardening, and improved logging.
4 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11: Delivered a new video stream replayer option in model_benchmarking to enable benchmarking with pre-recorded video data, expanding test coverage and improving reproducibility. Simultaneously enhanced benchmarking reliability and documentation through targeted fixes: corrected metric mappings to separate Max vs. Std Deviation, hardened patch_application.sh to modify only holoscan::Application definitions, and refined logger messaging to produce accurate new log directory paths. Updates to CMakeLists.txt and the YAML configuration ensured smooth integration. These efforts improved benchmark determinism, reduced debugging time, and lowered risk of unintended edits during patching. Technologies demonstrated include CMake, YAML configurations, scripting hardening, and improved logging.
November 2024
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Quality Metrics
Correctness90.0%
Maintainability87.6%
Architecture86.2%
Performance82.6%
AI Usage30.0%
Skills & Technologies
Programming Languages
BashC++CMakeMarkdownPythonShellYAML
Technical Skills
Asynchronous ProgrammingBenchmarkingBuffer ManagementBuild SystemsC++C++ DevelopmentCMakeCUDAComputer VisionConfiguration ManagementContainerizationDOCAData VisualizationDebuggingDevOps
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