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Madan mohan Manokar

PROFILE

Madan Mohan Manokar

Contributed a series of high-performance image processing and computer vision optimizations to the opencv/opencv repository, focusing on accelerating core algorithms such as median blur, bilateral filter, Gaussian blur, and GEMM through AVX-512 and SIMD programming. Leveraged C++ and CMake to implement vectorized paths, universal intrinsics, and portable dispatch mechanisms, enabling faster throughput and reduced CPU load across modern hardware. Addressed reliability by fixing race conditions and build warnings, while maintaining code quality through comprehensive testing and validation. Enhanced both feature and core pipelines, ensuring compatibility and maintainability, and collaborated on cross-team integrations to support real-time and large-scale workloads.

Overall Statistics

Feature vs Bugs

80%Features

Repository Contributions

19Total
Bugs
2
Commits
19
Features
8
Lines of code
8,743
Activity Months7

Your Network

1874 people

Work History

July 2026

3 Commits • 1 Features

Jul 1, 2026

July 2026 performance highlights for opencv/opencv focused on expanding SIMD coverage and stabilizing numeric paths to accelerate common CV workloads while preserving accuracy. The month delivered portable, high-throughput enhancements across core operations and feature pipelines, with tests and documentation to support long-term maintainability and vendor portability.

June 2026

8 Commits • 2 Features

Jun 1, 2026

June 2026 highlights OpenCV development with a focus on performance, reliability, and test coverage. Delivered broad AVX-512 SIMD optimizations across image processing and core kernels, expanded SIMD backends with universal intrinsics, and reinforced performance visibility through targeted tests. Also resolved build-time warnings and enhanced GEMM throughput validation.

March 2026

2 Commits • 1 Features

Mar 1, 2026

March 2026 performance-focused feature delivery for opencv/opencv, centered on SIMD-based optimizations that accelerate image processing and video tasks. Implementations include refactored horizontal image flipping with SIMD and enhanced Scharr derivative computation with AVX2/AVX512 dispatch, enabling scalable SIMD paths (CV_SIMD_SCALABLE). The work aligns with performance engineering, real-time processing needs, and portability across modern CPUs.

January 2026

3 Commits • 1 Features

Jan 1, 2026

January 2026 performance and quality-focused delivery for opencv/opencv. Key work includes AVX512-accelerated image filtering improvements, including Median Blur with AVX512 ICL integration and Bilateral Filter SIMD/dispatch optimizations, and a GaussianBlurFixedPoint fix to remove a race condition and prevent out-of-bounds access. These efforts increase runtime performance on AVX512-capable CPUs and improve reliability during edge-case image processing. Demonstrated expertise in SIMD, fixed-point arithmetic, CPU dispatch, and performance profiling across core image-processing kernels.

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025 performance highlights for opencv/opencv: deliver Gaussian Blur optimization with SIMD and AVX512_ICL support, achieving faster image filtering on modern CPUs while reducing memory traffic. The work centers on fusing horizontal and vertical kernels for non-border (inner) regions to avoid intermediate storage and enhance throughput. Added AVX512_ICL instruction set support to expedite computation on supported platforms. This contribution was implemented via a patch by AMD (commit 691b1bdc050a6a47b72c93cf5fbed8ae1fceb418) associated with PR #27795, and aligns with our performance goals and contribution guidelines.

August 2025

1 Commits • 1 Features

Aug 1, 2025

August 2025 (opencv/opencv): Delivered SIMD-based optimization for the bilateral filter. Introduced vectorization across 8-bit and floating-point data, parallelizing color and spatial weight computations. Merged PR #27433 from amd:fast_bilateral_simd. Result: substantial performance gains for bilateral filtering in typical image processing workloads, enabling faster real-time applications and reduced CPU load. Demonstrated proficiency in performance-oriented engineering, cross-team collaboration with external contributors, and sustaining code quality in a performance-critical path.

May 2025

1 Commits • 1 Features

May 1, 2025

May 2025: Delivered AVX512 dispatch optimization for OpenCV median blur in opencv/opencv, improving throughput and tail-element handling for SIMD-accelerated image processing. The feature was contributed via AMD's fast_medianblur_simd integration (PR #27299) and merged with commit 84ea77a4be59732e8d641ab24e7c46f8dc888404. No major bugs fixed this month; stability and correctness preserved.

Activity

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Quality Metrics

Correctness96.8%
Maintainability82.2%
Architecture94.2%
Performance97.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++CMake

Technical Skills

AVX-512C++C++ developmentC++ programmingCMakeComputer VisionImage ProcessingOpenCVPerformance OptimizationPerformance TuningSIMD InstructionsSIMD OptimizationSIMD ProgrammingSIMD optimizationSIMD programming

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

opencv/opencv

May 2025 Jul 2026
7 Months active

Languages Used

C++CMake

Technical Skills

C++Image ProcessingPerformance OptimizationSIMD InstructionsSIMD ProgrammingComputer Vision