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A GPU framework for parallel segmentation of volumetric images using discrete deformable models

Jerome Schmid, Jose Iglesias Guitian, Enrico Gobbetti, Nadia Magnenat-Thalmann

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Tags: CUDA, Image processing, MRI, nVidia, nVidia GeForce 8800 GTX, Visualization

November 26, 2010 by hgpu

3D nonrigid registration via optimal mass transport on the GPU

Tauseef Rehman, Eldad Haber, Gallagher Pryor, John Melonakos, Allen Tannenbaum

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Tags: Cg, Image processing, Medicine, MRI, nVidia, nVidia GeForce 8800 GTX, OpenGL

November 22, 2010 by hgpu

Fast reduction of undersampling artifacts in radial MR angiography with 3D total variation on graphics hardware

Florian Knoll, Markus Unger, Clemens Diwoky, Christian Clason, Thomas Pock, Rudolf Stollberger

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Tags: Computer vision, CUDA, Medicine, MRI, nVidia, nVidia GeForce GTX 280

November 22, 2010 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

HiRep

Scaling SU(2) to 1000 GPUs using HiRep

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs

Gaia AVU-GSR

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

Kokkidio: Fast, expressive, portable code, based on Kokkos and Eigen

LLaMA-Inference-Bench

LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators

MATAR

On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures

Over-synchronization in GPU Programs

Over-synchronization in GPU Programs

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