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Real-time foreground segmentation on GPUs using local online learning and global graph cut optimization

Minglun Gong, Li Cheng

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Tags: ATI, ATI Mobility Radeon X1400, Image processing, Optimization, Real-time graphics

July 31, 2011 by hgpu

CPU, SMP and GPU implementations of Nohalo level 1, a fast co-convex antialiasing image resampler

Nicolas Robidoux, Minglun Gong, John Cupitt, Adam

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Tags: ATI, ATI Mobility Radeon X1400, Computer vision, DirectX, HLSL, Image generation, Image processing, nVidia, nVidia GeForce 6800, nVidia GeForce 8600 GT, nVidia GeForce 9800 GT, nVidia GeForce 9800 GX2

December 25, 2010 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Efficient deep learning inference on end devices

Ouroboros: Virtualized Queues for dynamic memory management

Dynamic Memory Management on GPUs with SYCL

MSCCL++: A GPU-driven communication stack for scalable AI applications

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

Data-efficient LLM Fine-tuning for Code Generation

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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