Performance Analysis of Thread Block Schedulers in GPGPU and Its Implications
Applied Sciences (Switzerland), 2020 GPGPU (General-Purpose Graphics Processing Unit) consists of hardware resources that can execute tens of thousands of threads simultaneously. However, in reality, the parallelism is limited as resource allocation is performed by the base unit called ...
Kyungwoon Cho, Hyokyung Bahn
exaly +3 more sources
GPGPU cloud: A paradigm for general purpose computing
Tsinghua Science and Technology, 2013 The Kepler General Purpose GPU (GPGPU) architecture was developed to directly support GPU virtualization and make GPGPU cloud computing more broadly applicable by providing general purpose computing capability in the form of on-demand virtual resources ...
Liang Hu, Xilong Che, Zhenzhen Xie
exaly +3 more sources
Challenges of the Knowledge Society, 2012 Since the first idea of using GPU to general purpose computing, things have evolved over the years and now there are several approaches to GPU programming. GPU computing practically began with the introduction of CUDA (Compute Unified Device Architecture)
BOGDAN OANCEA +2 more
doaj +3 more sources
Visual Simulation of Soil-Microbial System Using GPGPU Technology [PDF]
Computation, 2015 General Purpose (use of) Graphics Processing Units (GPGPU) is a promising technology for simulation upscaling; in particular for bottom–up modelling approaches seeking to translate micro-scale system processes to macro-scale properties.
Ruth E. Falconer, Alasdair N. Houston
doaj +2 more sources
Broad Neutralizing Activity of Monoclonal Antibodies Against the Omicron Variants Isolated From Patients With Early Severe Acute Respiratory Syndrome Coronavirus-2. [PDF]
J Med VirolABSTRACT Since its emergence in 2019, severe acute respiratory syndrome coronavirus‐2 (SARS‐CoV‐2) has caused a global pandemic driven by rapid mutation and high transmissibility. Current therapeutic strategies may not effectively address the continuously evolving mutant strains, underscoring the need for treatments with broad neutralizing activity ...
Kim DS +13 more
europepmc +2 more sources
OpenCL and OpenGL Implementation of Simultaneous Localization and Mapping Algorithm using High-End GPU [PDF]
ITM Web of Conferences, 2022 Simultaneous Localization And Mapping (SLAM) algorithms are being used in many robotic applications and autonomous navigation systems. The FastSLAM2.0 addresses an issue of the SLAM problem and allows a robot to navigate in an unknown environment ...
Abouzahir Mohamed +3 more
doaj +1 more source
Master-Slave TLBO Algorithm for Constrained Global Optimization Problems [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2021 INTRODUCTION: The teaching-learning based optimization (TLBO) algorithm is a recently developed algorithm. The proposed work presents a design of a master-slave TLBO algorithm.
Sandeep Mane +2 more
doaj +1 more source
A general model for head and neck auto-segmentation with patient pre-treatment imaging during adaptive radiation therapy. [PDF]
Med PhysAbstract Background During head and neck (HN) radiation therapy, patients may undergo anatomical changes due to tumor shrinkage or weight loss. For these patients, adaptive radiation therapy (ART) is required to correct treatment plans and to ensure that the prescribed radiation dose is delivered to the tumor while minimizing dose to the surrounding ...
Clark B +4 more
europepmc +2 more sources
GPGPU based Multi-hive ABC Algorithm for Constrained Global Optimization Problems
EAI Endorsed Transactions on Energy Web, 2020 INTRODUCTION: The artificial bee colony (ABC) algorithm is a nature-inspired technique used for solving different optimization problems. This paper presents a multi-hive ABC algorithm for solving constrained benchmark functions of CEC2006.
Sandeep U. Mane +2 more
doaj +1 more source
Accelerating Spatial Cross-Matching on CPU-GPU Hybrid Platform With CUDA and OpenACC
Frontiers in Big Data, 2020 Spatial cross-matching operation over geospatial polygonal datasets is a highly compute-intensive yet an essential task to a wide array of real-world applications. At the same time, modern computing systems are typically equipped with multiple processing
Furqan Baig +5 more
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