Radiotherapy | Page 3

hgpu.org » Radiotherapy

GPU-based fast gamma index calcuation

Xuejun Gu, Xun Jia, Steve B. Jiang

View

Download (PDF)

Tags: CUDA, Medical Physics, Medicine, nVidia, Radiotherapy, Tesla C1060

December 10, 2010 by hgpu

Towards real-time radiation therapy: GPU accelerated superposition/convolution

Robert Jacques, Russell Taylor, John Wong, Todd Mcnutt

View

Download (PDF)

Tags: CUDA, Medicine, nVidia, nVidia GeForce GTX 280, Radiotherapy

November 25, 2010 by hgpu

GPU-based ultra fast dose calculation using a finite pencil beam model

Xuejun Gu, Dongju Choi, Chunhua Men, Hubert Pan, Amitava Majumdar, Steve B. Jiang

View

Download (PDF)

Tags: CUDA, Medical Physics, Medicine, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 285, Physics, Radiotherapy, Tesla C1060, Tesla S1070

November 13, 2010 by hgpu

Implementation and evaluation of various demons deformable image registration algorithms on GPU

Xuejun Gu, Hubert Pan, Yun Liang, Richard Castillo, Deshan Yang, Dongju Choi, Edward Castillo, Amitava Majumdar, Thomas Guerrero, Steve B. Jiang

View

Download (PDF)

Tags: CUDA, Image registration, Medical Physics, Medicine, nVidia, nVidia GeForce GTX 285, Physics, Radiotherapy

November 13, 2010 by hgpu

Development of a GPU-based Monte Carlo dose calculation code for coupled electron-photon transport

Xun Jia, Xuejun Gu, Josep Sempau, Dongju Choi, Amitava Majumdar, Steve B. Jiang

View

Download (PDF)

Tags: CUDA, Medical Physics, Medicine, Monte Carlo simulation, nVidia, Physics, Radiotherapy, Tesla C1060

November 13, 2010 by hgpu

GPU-based ultra-fast direct aperture optimization for online adaptive radiation therapy

Chunhua Men, Xun Jia, Steve. B. Jiang

View

Download (PDF)

Tags: CUDA, Medical Physics, Medicine, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 285, Physics, Radiotherapy, Tesla C1060

November 12, 2010 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

GPU-based fast gamma index calcuation

Towards real-time radiation therapy: GPU accelerated superposition/convolution

GPU-based ultra fast dose calculation using a finite pencil beam model

Implementation and evaluation of various demons deformable image registration algorithms on GPU

Development of a GPU-based Monte Carlo dose calculation code for coupled electron-photon transport

GPU-based ultra-fast direct aperture optimization for online adaptive radiation therapy

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

Most viewed papers (last 30 days)