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ProteinDJ: A high-performance and modular protein design pipeline. [PDF]
Protein SciSilke D +6 more
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Fast barcode calling based on <i>k</i>-mer distances. [PDF]
PNAS NexusUphoff RC +3 more
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ACM SIGGRAPH 2006 Research posters on - SIGGRAPH '06, 2006
Due to the immense computational power of today’s graphics processors (GPU), general purpose computation on GPUs has become a vivid research area. The performance of algorithms running on GPUs highly depends on how well they can be arranged to fit and exploit the processors single instruction multiple data (SIMD) architecture.
Oliver Fluck +3 more
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Due to the immense computational power of today’s graphics processors (GPU), general purpose computation on GPUs has become a vivid research area. The performance of algorithms running on GPUs highly depends on how well they can be arranged to fit and exploit the processors single instruction multiple data (SIMD) architecture.
Oliver Fluck +3 more
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GPU‐accelerated molecular mechanics computations
Journal of Computational Chemistry, 2013In this article, we describe an improved cell‐list approach designed to match the Kepler architecture of General‐purpose graphics processing units (GPGPU). We explain how our approach improves load balancing for the above algorithm and how warp intrinsics are used to implement Newton's third law for the nonbonded force calculations.
Athanasios, Anthopoulos +2 more
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GPU‐accelerated computation of electron transfer
Journal of Computational Chemistry, 2012AbstractElectron transfer is a fundamental process that can be studied with the help of computer simulation. The underlying quantum mechanical description renders the problem a computationally intensive application. In this study, we probe the graphics processing unit (GPU) for suitability to this type of problem.
HOEFINGER, SIEGFRIED +6 more
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2016
Heterogeneous and hybrid computing has been heavily studied in the field of parallel and distributed computing in recent years. It can work on a single computer, or in a group of computers connected by a high-speed network. The former is the topic of this chapter. Its key points are how to cooperatively use devices that are different in performance and
Xiongwei Fei +3 more
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Heterogeneous and hybrid computing has been heavily studied in the field of parallel and distributed computing in recent years. It can work on a single computer, or in a group of computers connected by a high-speed network. The former is the topic of this chapter. Its key points are how to cooperatively use devices that are different in performance and
Xiongwei Fei +3 more
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IEEE Micro, 2010
GPU computing is at a tipping point, becoming more widely used in demanding consumer applications and high-performance computing. This article describes the rapid evolution of GPU architectures-from graphics processors to massively parallel many-core multiprocessors, recent developments in GPU computing architectures, and how the enthusiastic adoption ...
John Nickolls, William J Dally
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GPU computing is at a tipping point, becoming more widely used in demanding consumer applications and high-performance computing. This article describes the rapid evolution of GPU architectures-from graphics processors to massively parallel many-core multiprocessors, recent developments in GPU computing architectures, and how the enthusiastic adoption ...
John Nickolls, William J Dally
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Communications of the ACM, 2016
Graphical processing units have emerged as a major powerhouse in the computing world, unleashing huge advancements in deep learning and AI.
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Graphical processing units have emerged as a major powerhouse in the computing world, unleashing huge advancements in deep learning and AI.
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GPU Computing Revolution: CUDA
2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), 2018In this research paper, we have studied Compute Unified Device Architecture which was developed by NVIDIA for its GPUs. It is a graphic library that provides a set of APIs’ which lets us take advantage of the GPU to render graphics on the computer screen.
Ramandeep Singh Dehal +3 more
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