Results 11 to 20 of about 312,991 (292)
WFA-GPU: gap-affine pairwise read-alignment using GPUs
Bioinformatics, 2023 Abstract Motivation Advances in genomics and sequencing technologies demand faster and more scalable analysis methods that can process longer sequences with higher accuracy. However, classical pairwise alignment methods, based on dynamic programming (DP), impose impractical computational requirements ...
Aguado Puig, Quim +6 more
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Multi-GPU MapReduce on GPU Clusters [PDF]
2011 IEEE International Parallel & Distributed Processing Symposium, 2011 We present GPMR, our stand-alone MapReduce library that leverages the power of GPU clusters for large-scale computing. To better utilize the GPU, we modify MapReduce by combining large amounts of map and reduce items into chunks and using partial reductions and accumulation.
Stuart, Jeff A., Owens, John D.
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Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2016 Multisplit is a broadly useful parallel primitive that permutes its input data into contiguous buckets or bins , where the function that categorizes an element into a bucket is provided by the programmer.
Ashkiani, Saman +3 more
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A Comparative Study of the Implementation of SJF and SRT Algorithms on the GPU Processor Using CUDA [PDF]
EAI Endorsed Transactions on Internet of Things, 2021 GPU (Graphical Processing Units) have become in a few years very powerful tools for parallel computing. They are currently used in several fields such as image processing, bioinformatics, medical applications and numerical computation...etc.
Youness Rtal, Abdelkader Hadjoudja
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Sensors, 2021 HyperSpectral (HS) images have been successfully used for brain tumor boundary detection during resection operations. Nowadays, these classification maps coexist with other technologies such as MRI or IOUS that improve a neurosurgeon’s action, with their
Jaime Sancho +8 more
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Optimizations for linear solvers in OpenFOAM for MPI + CUDA platform
Труды Института системного программирования РАН, 2018 We describe an implementation of conjugate gradient method on heterogeneous platforms (multiple nodes with GPU accelerators) to be used in OpenFOAM. Several optimizations are described.
A. V. Monakov, V. A. Platonov
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Jurnal Masyarakat Informatika, 2023 Compute Unified Device Architecture (CUDA) adalah Application Programming Interface (API) NVIDIA dan platform yang memungkinkan akses langsung ke set instruksi GPU dan memberi dukungan untuk berinteraksi dengan GPU terkait komputasi paralel. Dengan CUDA,
Arjuna Wahyu Kusuma +3 more
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Using Graphics Processor Units (GPUs) for automatic video structuring [PDF]
, 2007 The rapid pace of development of Graphic Processor Units (GPUs) in recent years in terms of performance and programmability has attracted the attention of those seeking to leverage alternative architectures for better performance than that which ...
Kehoe, Peter, Smeaton, Alan F.
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gem5-gpu: A Heterogeneous CPU-GPU Simulator [PDF]
IEEE Computer Architecture Letters, 2015 gem5-gpu is a new simulator that models tightly integrated CPU-GPU systems. It builds on gem5, a modular full-system CPU simulator, and GPGPU-Sim, a detailed GPGPU simulator. gem5-gpu routes most memory accesses through Ruby, which is a highly configurable memory system in gem5.
Power, Jason +4 more
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Proceedings of the 36th ACM International Conference on Supercomputing, 2022 In recent years, the rapidly increasing number of reads produced by next-generation sequencing (NGS) technologies has driven the demand for efficient implementations of sequence alignments in bioinformatics. However, current state-of-the-art approaches are not able to leverage the massively parallel processing capabilities of modern GPUs with close-to ...
Müller, André +4 more
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