high performance computing on graphics processing units: hgpu.org

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KernelGen – the design and implementation of a next generation compiler platform for accelerating numerical models on GPUs

Dmitry Mikushin, Nikolay Likhogrud, Eddy Zheng Zhang, Christopher Bergstrom

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Tags: Code generation, Compilers, Computer science, CUDA, Fortran, nVidia, OpenACC, Package, PTX, Tesla K20

July 15, 2013 by hgpu

GPU-enabled Efficient Executions of Radiation Calculations in Climate Modelling

Sai Kiran Korwar

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Tags: CUDA, Earth and Space Sciences, nVidia, OpenACC, Tesla C2070, Tesla K20, Tesla M2090, Tesla S2050, Thesis, Weather prediction

July 5, 2013 by hgpu

Parallel Language Programming In Different Platforms

Pau Vila Fernández

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Tags: Computer science, CUDA, OpenACC, OpenCL, Programming Languages, Thesis

June 21, 2013 by hgpu

Accelerating Financial Applications on the GPU

Scott Grauer-Gray, William Killian, Robert Searles, John Cavazos

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Tags: Computational finance, CUDA, Finance, nVidia, OpenACC, OpenCL, Package, Review, Tesla C2050, Tesla K20

May 6, 2013 by hgpu

A framework for data-access strategies in GPGPU programs

L.F.C.C. Mallens

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 640, nVidia GeForce GTS 250, OpenACC, Thesis

May 2, 2013 by hgpu

Directive-based Approach to Heterogeneous Computing

Ruyman Reyes Castro

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenACC, OpenCL, Package, Python, Tesla C1060, Thesis

April 25, 2013 by hgpu

One OpenCL to Rule Them All?

Romain Dolbeau, Francois Bodin, Guillaume Colin de Verdiere

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Tags: ATI, ATI Radeon HD 7970, Computer science, Intel, Intel Phi, nVidia, OpenACC, OpenCL, Performance, Portability, Tesla K20

April 21, 2013 by hgpu

Graphics Processing Unit Acceleration of the Explicit Solution of the Time Domain Volume Integral Equation Using OpenACC

Ahmed Al-Jarro, Alain Clo, Hakan Bagci

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Tags: Electrodynamics, Integral equations, Mathematics, OpenACC

March 29, 2013 by hgpu

Input-Aware Auto-Tuning for Directive-based GPU Programming

Alberto Magni, Dominik Grewe, Nick Johnson

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Tags: Computer science, nVidia, OpenACC, Performance, Programming techniques, Tesla C2050

March 15, 2013 by hgpu

Hybrid parallel programming – evaluation of OpenACC

Leonardo Piletti Chatain

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Tags: Benchmarking, Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 480, OpenACC, Thesis

February 15, 2013 by hgpu

Effectiveness of program transformations and compilers for directive-based GPU programming models

Swapnil Avinash Ghike

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Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, Optimization, Performance, Tesla X2090, Thesis

February 9, 2013 by hgpu

GPU-accelererated regularisation of large diffusion-tensor volumes

Tuomo Valkonen, Manfred Liebmann

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Tags: Algorithms, Diffusion tensor, Image processing, Medicine, nVidia, nVidia GeForce GTX 480, OpenACC, Tesla C2070

January 18, 2013 by hgpu

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

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high performance computing on graphics processing units: hgpu.org

KernelGen – the design and implementation of a next generation compiler platform for accelerating numerical models on GPUs

GPU-enabled Efficient Executions of Radiation Calculations in Climate Modelling

Parallel Language Programming In Different Platforms

Accelerating Financial Applications on the GPU

A framework for data-access strategies in GPGPU programs

Directive-based Approach to Heterogeneous Computing

One OpenCL to Rule Them All?

Graphics Processing Unit Acceleration of the Explicit Solution of the Time Domain Volume Integral Equation Using OpenACC

Input-Aware Auto-Tuning for Directive-based GPU Programming

Hybrid parallel programming – evaluation of OpenACC

Effectiveness of program transformations and compilers for directive-based GPU programming models

GPU-accelererated regularisation of large diffusion-tensor volumes

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