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Seeded ND medical image segmentation by cellular automaton on GPU

Claude Kauffmann, Nicolas Piche

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Tags: ATI, ATI Radeon HD 3970, ATI Radeon HD 4870, ATI Radeon X1950, Cellular automata, Cg, Image processing, Medicine, nVidia, nVidia GeForce 7950 GT, nVidia GeForce 9800 GT, nVidia GeForce GTX 260, OpenGL

December 13, 2010 by hgpu

GPU Mekong

Automated Partitioning of Data-Parallel Kernels using Polyhedral Compilation

GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks

GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks

sycl-bench: SYCL Benchmark Suite

SYCL-Bench: A Versatile Cross-Platform Benchmark Suite for Heterogeneous Computing

Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing

Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing

Ginkgo: a high-performance linear algebra library for manycore systems

Preparing Ginkgo for AMD GPUs – A Testimonial on Porting CUDA Code to HIP

GROMACS with CUDA-aware MPI direct GPU communication support

Heterogeneous Parallelization and Acceleration of Molecular Dynamics Simulations in GROMACS

Rodinia_SYCL: The Rodinia Benchmark Suite in SYCL

The Rodinia Benchmark Suite in SYCL

Neural Architecture Search Without Training

Neural Architecture Search without Training

OpenABLext: An extension to OpenABL, a framework to generate high- performance code for agent-based simulations

OpenABLext: An automatic code generation framework for agent-based simulations on CPU-GPU-FPGA heterogeneous platforms

SOFF: SNU OpenCL Framework for FPGAs

SOFF: An OpenCL High-Level Synthesis Framework for FPGAs

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2020

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Shenzhen, China

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Bangkok, Thailand

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