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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
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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
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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
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Performance Analysis of Thread Block Schedulers in GPGPU and Its Implications
Applied Sciences, 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
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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
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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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Characterizing Fine-Grained Resource Utilization for Multitasking GPGPU in Cloud Systems
IEEE Access, 2021 Managing GPGPU resources in cloud systems is challenging as workloads with various resource usage patterns coexist. To determine the co-location of workloads, previous studies have shown that run-time performance profiling and dynamic relocation of ...
Kyungwoon Cho, Hyokyung Bahn
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Power Estimation Model of General Purpose Graphics Processing Unit [PDF]
Jisuanji gongcheng, 2017 In order to get the GPU power data quickly and accurately,this paper proposes a General Purpose Graphics Processing Unit(GPGPU) power estimation model based on hardware performance counting events.Through analysing power distribution during GPGPU program
WANG Jijun,CHENG Hua
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JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2021 Here a report of a development phase of an environment of high performance computing (HPC) using general purpose computations on the graphics processing unit (GPGPU) is presented.
Andreas Widjaja +3 more
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GPGPU-MiniBench: Accelerating GPGPU Micro-Architecture Simulation [PDF]
IEEE Transactions on Computers, 2015 Graphics processing units (GPU), due to their massive computational power with up to thousands of concurrent threads and general-purpose GPU (GPGPU) programming models such as CUDA and OpenCL, have opened up new opportunities for speeding up general-purpose parallel applications.
Zhibin Yu +7 more
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