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Evaluation of Java for General Purpose GPU Computing

by Jorge Docampo, Sabela Ramos, Guillermo L. Taboada, Roberto R. Expósito
"... Abstract—The presence of many-core units as accelerators has been increasing due to their ability to improve the per-formance of highly parallel workloads. General Purpose GPU (GPGPU) computing has allowed the graphical units to emerge as successful co-processors that can be employed to improve the ..."
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Abstract—The presence of many-core units as accelerators has been increasing due to their ability to improve the per-formance of highly parallel workloads. General Purpose GPU (GPGPU) computing has allowed the graphical units to emerge as successful co-processors that can be employed to improve

SIFT implementation and optimization for general-purpose gpu

by S. Heymann, B. Fröhlich, Fakultät Medien, K. Müller, T. Wiegand - In WSCG ’07 , 2007
"... With the addition of free programmable components to modern graphics hardware, graphics processing units (GPUs) become increasingly interesting for general purpose computations, especially due to utilizing parallel buffer processing. In this paper we present methods and techniques that take advantag ..."
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With the addition of free programmable components to modern graphics hardware, graphics processing units (GPUs) become increasingly interesting for general purpose computations, especially due to utilizing parallel buffer processing. In this paper we present methods and techniques that take

Contract-Based General-Purpose GPU Programming

by Alexey Kolesnichenko , Christopher M Poskitt , Sebastian Nanz , Bertrand Meyer
"... Abstract Using GPUs as general-purpose processors has revolutionized parallel computing by offering, for a large and growing set of algorithms, massive data-parallelization on desktop machines. An obstacle to widespread adoption, however, is the difficulty of programming them and the low-level cont ..."
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Abstract Using GPUs as general-purpose processors has revolutionized parallel computing by offering, for a large and growing set of algorithms, massive data-parallelization on desktop machines. An obstacle to widespread adoption, however, is the difficulty of programming them and the low

Parallelising Wavefront Applications on General-Purpose GPU Devices

by S. J. Pennycook, G. R. Mudalige, S. D. Hammond, S. A. Jarvis - UK PERFORMANCE ENGINEERING WORKSHOP , 2010
"... Abstract—Pipelined wavefront applications form a large portion of the high performance scientific computing workloads at supercomputing centres such as LANL in the United States and AWE in the United Kingdom. This paper investigates the viability of utilising graphics processing units (GPUs) for the ..."
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. In this work, we identify a number of optimisations suitable for wavefront codes ported to this new architecture and attempt to quantify the characteristics of those codes that are most likely to experience speedups. Keywords-CUDA; GPU Computing; Wavefront; Hyperplane I.

Comparing Software Development Approaches for General Purpose GPU Computing

by Boris Metelitsa
"... The Graphics Processing Unit (GPU) in today’s commodity video cards can be considered to be a powerful streaming co-processor on modern desktop workstations. This power enables tremendous increases in performance of certain applications by performing computations on the GPU instead of the CPU and al ..."
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by abstracting hardware resources and generalizing the programming model. This paper examines approaches for general purpose software development on Programmable Graphics Processors and compares existing traditional and emerging software development systems.

Ultra-Fast Digital Tomosynthesis Reconstruction Using General-Purpose GPU Programming for Image-Guided Radiation Therapy

by unknown authors
"... www.tcrt.org The purpose of this work is to demonstrate an ultra-fast reconstruction technique for digital tomosynthesis (DTS) imaging based on the algorithm proposed by Feldkamp, Davis, and Kress (FDK) using standard general-purpose graphics processing unit (GPGPU) program-ming interface. To this e ..."
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www.tcrt.org The purpose of this work is to demonstrate an ultra-fast reconstruction technique for digital tomosynthesis (DTS) imaging based on the algorithm proposed by Feldkamp, Davis, and Kress (FDK) using standard general-purpose graphics processing unit (GPGPU) program-ming interface

International Conference on Computer Systems and Technologies- CompSysTech ’ 2005 General purpose GPU programming

by Dimitar Atanasov
"... Abstract: The paper describes programming features of the modern graphics hardware. It accents on the features introduced in Microsoft DirectX 9.0 and using them in general purpose programming of the graphics hardware for effective offload of the CPU. As reference is used NVIDIA’s GeForce FX GPUs. K ..."
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Abstract: The paper describes programming features of the modern graphics hardware. It accents on the features introduced in Microsoft DirectX 9.0 and using them in general purpose programming of the graphics hardware for effective offload of the CPU. As reference is used NVIDIA’s GeForce FX GPUs

A Virtual Machine Model for Accelerating Relational Database Joins using a General Purpose GPU

by Kevin Angstadt , Ed Harcourt
"... ABSTRACT We demonstrate a speedup for database joins using a general purpose graphics processing unit (GPGPU). The technique is novel in that it operates on an SQL virtual machine model developed using CUDA. The implementation compiles an SQL statement to instructions of the virtual machine that ar ..."
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ABSTRACT We demonstrate a speedup for database joins using a general purpose graphics processing unit (GPGPU). The technique is novel in that it operates on an SQL virtual machine model developed using CUDA. The implementation compiles an SQL statement to instructions of the virtual machine

OKLAHOMA CITY AIR LOGISTICS COMPLEX TEAM TINKER Accelerating Finite Difference Computations Using General Purpose GPU Computing

by Poc James, D. Stevens, Navier Stokes Equations , 2012
"... • Mission: maintain software on weapon systems – Support the warfighter! • Supercomputing resources 660core/3.5 TFLOPS – Recycled computer systems ($75 initial budget) • GPGPU programming with CUDA 2 ..."
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• Mission: maintain software on weapon systems – Support the warfighter! • Supercomputing resources 660core/3.5 TFLOPS – Recycled computer systems ($75 initial budget) • GPGPU programming with CUDA 2

Writing Shaders and General Purpose GPU Programs Using the RapidMind ™ Development Platform Table Of Contents

by unknown authors
"... ..."
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