nvidia-holoscan/holohub
Nov 2024 – Aug 2025
7 Months active
Languages Used
C++CMakeMarkdownPythonShellYAMLBash
Technical Skills
BenchmarkingC++ DevelopmentCMakeConfiguration ManagementDebuggingDocumentation
Soham Sinha
PROFILE
Soham Sinha
Soham worked on the nvidia-holoscan/holohub repository, delivering features and improvements that enhanced benchmarking, real-time performance analysis, and deployment flexibility for GPU-accelerated medical workflows. He developed a real-time asynchronous buffer performance study app using C++ and SCHED_DEADLINE, enabling data-driven optimization of Holoscan operators. Soham also implemented containerized CUDA MPS support and Windows VM GPU passthrough, broadening deployment scenarios. His work included refining benchmarking tools with CMake and shell scripting, improving documentation for onboarding and compatibility, and ensuring reproducible experiments. Throughout, Soham demonstrated depth in asynchronous programming, containerization, and performance profiling, producing maintainable solutions that improved workflow reliability and observability.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
8
Lines of code
2,062
Activity Months7
Your Network
1364 people
Work History
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%
Maintainability90.0%
Architecture86.6%
Performance83.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashC++CMakeMarkdownPythonShellYAML
Technical Skills
Asynchronous ProgrammingBenchmarkingBuffer ManagementBuild SystemsC++C++ DevelopmentCMakeConfiguration ManagementContainerizationData VisualizationDebuggingDevOpsDocumentationGPU PassthroughHoloscan SDK
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