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Frameworks for GPU Accelerators: A comprehensive evaluation using 2D/3D image registration

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: CUDA, Image processing, Image registration, nVidia, nVidia Quadro FX 5800, OpenCL, Performance, RapidMind, Tesla C2050

July 9, 2011 by hgpu

Flexible OpenCL accelerated disparity estimation for video communication applications

Christian Weigel, Niklas Treutner

Tags: Algorithms, Computer science, OpenCL, Stereo vision

July 6, 2011 by hgpu

Automatic Multi-GPU Code Generation applied to Simulation of Electrical Machines

Antonio Wendell De Oliveira Rodrigues, Frederic Guyomarc'H, Jean-Luc Dekeyser, Yvonnick Le Menach

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Tags: Code generation, Computer science, Conjugate gradient solver, nVidia, OpenCL, Tesla S1070

July 5, 2011 by hgpu

QCD simulations with staggered fermions on GPUs

C. Bonati, G. Cossu, M. D'Elia, P. Incardona

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Tags: ATI, ATI Radeon HD 5870, Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GT 430, OpenCL, Physics, Tesla C1060, Tesla C2050, Tesla C2070

June 29, 2011 by hgpu

GPU acceleration of compton reconstruction for the PEDRO

Matthew R. Dimmock, Dmitri A. Nikulin, Jeremy M. C. Brown, Chuong V. Nguyen, John E. Gillam

Tags: Image processing, Image reconstruction, OpenCL

June 21, 2011 by hgpu

GPU-based motion correction of contrast-enhanced liver MRI scans: An OpenCL implementation

Jihun Oh, Diego Martin, Oskar Skrinjar

Tags: Image reconstruction, Medicine, MRI, nVidia, nVidia GeForce GTX 260 M, OpenCL

June 21, 2011 by hgpu

Performance evaluation of the multi-device OpenCL FDTD solver

Tomasz P. Stefanski, Nicolas Chavannes, Niels Kuster

Tags: Electrodynamics, FDTD, Finite-difference time-domain, GPU cluster, OpenCL

June 21, 2011 by hgpu

A comparative study of GPU programming models and architectures using neural networks

Vivek Pallipuram, Mohammad Bhuiyan, Melissa Smith

Tags: ATI, Computer science, CUDA, Neural networks, nVidia, OpenCL, Performance, Tesla C2050

June 14, 2011 by hgpu

A framework for parallel unstructured grid applications on GPUs

Mike Giles

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Tags: Code generation, Computer science, CUDA, GPU cluster, MPI, nVidia, OpenCL, OpenMP, Package, PDEs, Presentation

June 5, 2011 by hgpu

A Modeling Approach based on UML/MARTE for GPU Architecture

Antonio Wendell De Oliveira Rodrigues, Frederic Guyomarc'H, Jean-Luc Dekeyser

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Tags: Code generation, Computer science, Conjugate gradient solver, nVidia, OpenCL, Tesla S1070

May 24, 2011 by hgpu

Synthesis of Platform Architectures from OpenCL Programs

Muhsen Owaida, Nikolaos Bellas, Konstantis Daloukas, Christos D. Antonopoulos

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Tags: Code generation, Compilers, Computer science, Electronic design automation, Embedded high-performance computing, FPGA, Heterogeneous systems, OpenCL

May 21, 2011 by hgpu

OpenCL based machine learning labeling of biomedical datasets

Oscar Amoros, Sergio Escalera, Anna Puig

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Tags: GLSL, Image processing, Machine learning, Medicine, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, OpenCL, OpenGL

May 12, 2011 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

November

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The Fifth International Workshop on GPU Computing and AI (GCA), 2020

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