Results 281 to 290 of about 14,041 (338)
Computing 2-body statistics on graphics processing units (GPUs) [PDF]
Tu, Yicheng, Pitaksirianan, Napath
openalex
Fast computation of MadGraph amplitudes on graphics processing unit (GPU)
Fast computation of MadGraph amplitudes on graphics processing unit (GPU)openaire
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Towards using the Graphics Processing Unit (GPU) for embedded systems
Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012), 2012The Graphics Processing Unit (GPU) is becoming a very powerful platform to accelerate graphics and dataparallel compute-intensive applications. It gives a high performance and at the same time it has a low power consumption. This combination is of high performance and low power consumption is useful when it comes to building an embedded system. In this
Mikael Åsberg, Thomas Nolte
exaly +2 more sources
Bi-predictive motion estimation for HEVC on a graphics processing unit (GPU)
IEEE Transactions on Consumer Electronics, 2014High Efficiency Video Coding (HEVC), the latest video compression standard, will play an important role in many multimedia applications in the foreseeable future. Its superior compression performance enables HEVC to be particularly suitable for high-definition videos in consumer electronics environments; however, it comes with the price of ...
Radicke, Stefan +3 more
exaly +3 more sources
Evolution of the Graphics Processing Unit (GPU)
IEEE Micro, 2021Graphics processing units (GPUs) power today’s fastest supercomputers, are the dominant platform for deep learning, and provide the intelligence for devices ranging from self-driving cars to robots and smart cameras. They also generate compelling photorealistic images at real-time frame rates.
William J. Dally +2 more
openaire +1 more source
Fermi GF100 graphics processing unit (GPU)
2010 IEEE Hot Chips 22 Symposium (HCS), 2010This article consists of a collection of slides from the author's conference presentation on the NVIDIA Fermi GF family of GPU products. Some of the specific topics discussed include: the special features, system specifications, and system design for these products; system architectures; applications for use; platforms supported; processing ...
Craig M. Wittenbrink +2 more
openaire +2 more sources
Tensor Voting Accelerated by Graphics Processing Units (GPU)
18th International Conference on Pattern Recognition (ICPR'06), 2006This paper presents a new GPU-based tensor voting implementation which achieves significant performance improvement over the conventional CPU-based implementation. Although the tensor voting framework has been used for many vision problems, it is computationally very intensive when the number of input tokens is very large.
Changki Min, Gérard G. Medioni
openaire +1 more source
Accelerating geostatistical simulations using graphics processing units (GPU)
Computers & Geosciences, 2012Geostatistical simulations have become a widely used tool for modeling of oil and gas reservoirs and the assessment of uncertainty. One important current issue is the development of high-resolution models in a reasonable computational time. A possible solution is based on taking advantage of parallel computational strategies. In this paper we present a
Pejman Tahmasebi +3 more
openaire +1 more source