GPUs in subsurface simulation: an investigation
Sign Up to like & getrecommendations! Published in 2017 at "Engineering with Computers"
DOI: 10.1007/s00366-017-0506-1
Abstract: Subsurface simulations are computationally intensive tasks and require a considerable amount of time to solve. To gain computational speed in simulating subsurface scenarios, this paper investigates the use of graphical processing units (GPUs). Accelerators such… read more here.
Keywords: subsurface simulation; subsurface; simulation investigation; gpus subsurface ... See more keywords
Exploiting parallel graphics processing units to improve association rule mining in transactional databases using butterfly optimization algorithm
Sign Up to like & getrecommendations! Published in 2021 at "Cluster Computing"
DOI: 10.1007/s10586-021-03369-2
Abstract: Extracting association rules from huge amounts of data is an essential method in data mining that can provide valuable knowledge from datasets for various applications. In addition to a variety of traditional and parallel association… read more here.
Keywords: association rule; association; rule mining; optimization ... See more keywords
A Novel Performance Prediction Model for Mobile GPUs
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DOI: 10.1109/access.2018.2816040
Abstract: With the fast-growing development of mobile devices, the application of high-end three-dimensional (3-D) graphics is expanding to include usage in mobile platforms. Recent mobile application processors are equipped with a multicore CPU and a mobile… read more here.
Keywords: novel performance; mobile gpus; model; gpus ... See more keywords
Toward QoS-Awareness and Improved Utilization of Spatial Multitasking GPUs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2021.3064352
Abstract: Datacenters use GPUs to provide the significant computing throughput required by emerging user-facing services. The diurnal user access pattern of user-facing services provides a strong incentive to co-located applications for better GPU utilization, and prior… read more here.
Keywords: user facing; gpus; multitasking gpus; facing services ... See more keywords
SMGuard: A Flexible and Fine-Grained Resource Management Framework for GPUs
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2018.2848621
Abstract: GPUs have been becoming an indispensable computing platform in data centers, and co-locating multiple applications on the same GPU is widely used to improve resource utilization. However, performance interference due to uncontrolled resource contention severely… read more here.
Keywords: latency sensitive; resource; fine grained; smguard ... See more keywords
Visibility Rendering Order: Improving Energy Efficiency on Mobile GPUs through Frame Coherence
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2018.2866246
Abstract: During real-time graphics rendering, objects are processed by the GPU in the order they are submitted by the CPU, and occluded surfaces are often processed even though they will end up not being part of… read more here.
Keywords: rendering order; gpus; order; visibility rendering ... See more keywords
Max-Tree Computation on GPUs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3158488
Abstract: In Mathematical Morphology, the max-tree is a region-based representation that encodes the inclusion relationship of the threshold sets of an image. This tree has proved useful in numerous image processing applications. For the last decade,… read more here.
Keywords: mathematical morphology; max tree; tree computation; gpus ... See more keywords
Accelerated 2D Classification With ISAC Using GPUs
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Molecular Biosciences"
DOI: 10.3389/fmolb.2022.919994
Abstract: A widely used approach to analyze single particles in electron microscopy data is 2D classification. This process is very computationally expensive, especially when large data sets are analyzed. In this paper we present GPU ISAC,… read more here.
Keywords: isac; classification; class averages; gpu isac ... See more keywords
Performance Prediction Based on Statistics of Sparse Matrix-Vector Multiplication on GPUs
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Computational Chemistry"
DOI: 10.4236/jcc.2017.56005
Abstract: As one of the most essential and important operations in linear algebra, the performance prediction of sparse matrix-vector multiplication (SpMV) on GPUs has got more and more attention in recent years. In 2012, Guo and… read more here.
Keywords: sparse matrix; performance prediction; gpus; performance ... See more keywords