Results 211 to 220 of about 35,296 (265)
Review of large YOLOv8 and RT-DETR energy efficiency on edge devices for real-time detection. [PDF]
Sci RepSuchý I, Turčaník M.
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Critical Assessment of a Structure-Based Pipeline for Targeting the Long Noncoding RNA MALAT1. [PDF]
J Chem Inf ModelAguti R +4 more
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Advanced dose calculation strategies for clinical linear accelerators: a systematic review. [PDF]
Front OncolAlshehri AHD, Al Mopti A.
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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 ...
William 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 ...
William Dally
exaly +2 more sources
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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Fault Table Computation on GPUs
Journal of Electronic Testing, 2010In this paper, we explore the implementation of fault table generation on a Graphics Processing Unit (GPU). A fault table is essential for fault diagnosis and fault detection in VLSI testing and debug. Generating a fault table requires extensive fault simulation, with no fault dropping, and is extremely expensive from a computational standpoint.
Kanupriya Gulati, Sunil P. Khatri
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2010
The success of the gaming industry is now pushing processor technology like we have never seen before. Since recent graphics processors (GPU's) have been improving both their programmability as well as have been adding more and more floating point processing, it makes them very appealing as accelerators for general-purpose computing. This minisymposium
Anne C. Elster, Stéphane Requena
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The success of the gaming industry is now pushing processor technology like we have never seen before. Since recent graphics processors (GPU's) have been improving both their programmability as well as have been adding more and more floating point processing, it makes them very appealing as accelerators for general-purpose computing. This minisymposium
Anne C. Elster, Stéphane Requena
openaire +1 more source
Scientific Computing with GPUs
Computing in Science & Engineering, 2012This special issue attests to the widespread use of GPUs in the scientific computing community. Here the guest editor discusses the articles selected for this issue, and considers how they represent the range of possibilities (and risks) for using GPUs in scientific applications.
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