High-Performance Computing (HPC), GPU-accelerated libraries, and efficient image processing.
A high-performance Python wrapper for the libjpeg-turbo TurboJPEG API, designed for fast JPEG encoding and decoding on x86 and Arm platforms.
- Focus: Low-overhead Python integration for high-throughput image processing.
- Use case: Computer vision pipelines where JPEG transcoding is a performance bottleneck.
A single-header C++17 library for bit-reproducible floating-point summation with SYCL, based on the Ahrens-Demmel-Nguyen binned algorithm.
- Reproducibility: Produces bit-identical
floatanddoubleresults independent of input order, work-group scheduling, device vendor, and backend. - Performance: Uses a high-throughput, single-pass reduction design for deterministic numerical computing across heterogeneous systems.
- Validation: Tested and verified on NVIDIA, AMD, and Intel GPUs.






