Search Results - "parallel GPU programming"

Full reconstruction of a 14-qubit state within four hours by Hou, Zhibo, Zhong, Han-Sen, Tian, Ye, Dong, Daoyi, Qi, Bo, Li, Li, Wang, Yuanlong, Nori, Franco, Xiang, Guo-Yong, Li, Chuan-Feng, Guo, Guang-Can

“…Full quantum state tomography (FQST) plays a unique role in the estimation of the state of a quantum system without a priori knowledge or assumptions…”
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GPU-Based Road Sign Detection Using Particle Swarm Optimization by Mussi, L., Cagnoni, S., Daolio, F.

“…Road Sign Detection is a major goal of Advanced Driving Assistance Systems (ADAS). Since the dawn of this discipline, much work based on different techniques…”
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The art of solving a large number of non-stiff, low-dimensional ordinary differential equation systems on GPUs and CPUs by Nagy, Dániel, Plavecz, Lambert, Hegedűs, Ferenc

“…This paper discusses the main performance barriers for solving a large number of independent ordinary differential equation systems on processors (CPU) and…”
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Professional CUDA® C programming by Cheng, John, Grossman, Max, McKercher, Ty

“…Professional CUDA Programming in C provides down to earth coverage of the complex topic of parallel computing, a topic increasingly essential in every day…”
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Exploring Fine-Grained Task-Based Execution on Multi-GPU Systems by Long Chen, Villa, O., Gao, G. R.

“… However, when using multiple GPUs concurrently, the conventional data parallel GPU programming paradigms, e.g…”
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Rapid motion planning algorithm for optimal UVMS interventions in semi-structured environments using GPUs by Sotiropoulos, Panagiotis, Kolonias, Vasileios, Aspragathos, Nikos, Housos, Efthymios

“…In this work, a novel local motion planning algorithm is presented, for underwater vehicle manipulator systems (UVMS) that perform autonomous underwater…”
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Thanos: High-Performance CPU-GPU Based Balanced Graph Partitioning Using Cross-Decomposition by Kim, Dae Hee, Nagi, Rakesh, Chen, Deming

“… It also produces balanced loads of partitions. The algorithm is well suited for parallel GPU programming which leads to fast and high-quality graph partitioning solutions…”
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Accelerating biomedical signal processing algorithms with parallel programming on graphic processor units by Konstantinidis, E.I., Frantzidis, C.A., Tzimkas, L., Pappas, C., Bamidis, P.D.

“…This paper investigates the benefits derived by adopting the use of Graphics Processing Unit (GPU) parallel programming in the field of biomedical signal…”
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Exploring novel many-core architectures for scientific computing by Chen, Long

“…The rapid revolution in microprocessor chip architecture due to the many-core technology is presenting unprecedented challenges to the application developers…”
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A MapReduce Computing Framework Based on GPU Cluster by Heng Gao, Jie Tang, Gangshan Wu

“… We designed and implemented a new parallel GPU programming framework based on MapReduce. In our framework, a distributed file system (GlusterFS…”
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병렬 GPU를 이용한 분자 도킹 시스템 by 박성준(Sung-Jun Park)

“… CUDA is an open technique by which a parallel GPU programming is made possible. This study proposes the molecular docking system using CUDA…”
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Chapter 3 - The CUDA Tool Suite: Profiling a PCA/NLPCA Functor

“…In this chapter, the Microsoft and UNIX profiling tools for CUDA will be used to analyze the performance and scaling of the Nelder-Mead optimization technique…”
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