Breaking the Bottleneck: GPU-Optimised Video Processing for Deep LearningDeep learning applications can improve performance by minimizing CPU-GPU transfer bottlenecks through GPU-accelerated video decoding.
GitHub - gezilinll/pica-gpu: a high-quality, GPU-accelerated image resizerPica-gpu utilizes GPU acceleration for efficient image resizing, significantly improving performance and reducing CPU usage.The library features multiple filtering algorithms, ensuring high-quality image processing.
Breaking the Bottleneck: GPU-Optimised Video Processing for Deep LearningDeep learning applications can improve performance by minimizing CPU-GPU transfer bottlenecks through GPU-accelerated video decoding.
GitHub - gezilinll/pica-gpu: a high-quality, GPU-accelerated image resizerPica-gpu utilizes GPU acceleration for efficient image resizing, significantly improving performance and reducing CPU usage.The library features multiple filtering algorithms, ensuring high-quality image processing.
GitHub - xiaoiver/infinite-canvas-tutorial: A tutorial on infinite canvasInfinite canvas enables flexible content creation with zoom and direct manipulation, enhancing user experience in design tools.
SQream native connector for SQream Blue | App Developer MagazineSQream Blue's native connector allows seamless integration with Snowflake, enhancing performance and cost efficiency. Users can leverage GPU acceleration without data migration.
Redshift 2025 review: an iterative update for the world's first GPU rendererMaxon Redshift 2025 enhances rendering capabilities, particularly in caustics and non-photorealistic functions, reinforcing its place among top rendering software.