Ray‐tracing domain decomposition methods for real‐time simulation on multi‐core and multi‐processor systems

Magoulès, Frédéric; Gbikpi-Benissan, Guillaume; Callet, Patrick Le

doi:10.1002/cpe.3696

Cited by 4 publications

(2 citation statements)

References 35 publications

(41 reference statements)

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“…Frederic et al . describe the use of domain decomposition methods for accelerating wave physics simulation. Numerical wave‐based methods provide more accurate simulation than geometrical methods, but at a higher computation cost as well.…”

Section: Themes Of This Special Issuementioning

confidence: 99%

Embedded multicore computing and applications

Magoulès¹,

Hung

Jiang

et al. 2016

Concurrency and Computation

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INTRODUCTIONIn the past few years, multicore and many core systems have been utilized to accelerate the research domains, including image processing, molecular dynamics, astrophysics, financial simulation, computer tomography, quantum chemistry, bioinformatics, and many others. Similarly, many programming models, such as OpenMP, OpenCL, and CUDA, have been released to aid programmers to develop a parallel computing application by launching the cores or threads in parallel. To efficiently launch cores or threads, software framework plays an important role to make cores or threads collaborate with each other. Also, an efficient parallel algorithm can help to improve the performance of applications, especially real-time applications. Many successful applications with multicore and many core systems through these parallel algorithms have unveiled many scientific results, which encourage application developers to adopt novel multicore and many core system computing technologies. This journal contains 10 papers, each paper covering one particular application and methodology. All of these papers not only provide novel ideas and state of-the-art technologies in the field but also stimulate future research for multicore computing and their applications. THEMES OF THIS SPECIAL ISSUEThis special issue contains research papers addressing the state-of-the-art in multicore systems and applications. A set of carefully selected works was invited based on the original presentations at the 4th International Workshop on Embedded Multicore Computing and Applications in conjunction with the 16th IEEE International Conference on High Performance and Communications, which was held in Paris, France, 20-22 August 2014 [1]. The manuscripts tackle research on different topics, including multicore systems, parallel input/output (IO), and graphics processing unit (GPU) applications. The set of accepted papers is briefly described in the remaining parts of this section. Parallel IO and parallel programming modelsMore than 50% of file operations in the storage systems are metadata operations. In the scenarios of read-more and write-less of massive small files, present distributed file systems suffer from the unsatisfying performance and scalability of metadata service because of random disk I/O during metadata operations. Duan et al.[2] propose a highly efficient metadata management for cloud storage systems. They introduce a concept of channel, which is an independent data storage pipe by binding an independent CPU core to each physical disk. In addition, a multi-channel fast key-value storage engine is proposed to provide the extremely efficient performance for the underlying storage service, which takes full advantages of multicore processors and parallel disk I/O.Nowadays, technology of multicore processor has not only taken more and more markets but also brought revolution and unavoidable collision to the programming personnel. In the past, the tenacious semiconductor problems of operating temperature and power consumption limited the pe...

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Section: Themes Of This Special Issuementioning

confidence: 99%

Embedded multicore computing and applications

Magoulès¹,

Hung

Jiang

et al. 2016

Concurrency and Computation

Self Cite

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“…This could be a limitation for a full utilization of multi-core architectures, due to memory availability. Other details are further discussed in [24,25] Domain Decomposition Methods (DDM) [39,41,16,26] allow to distribute the model itself without duplications. Interface tuning techniques [19] may be used to improve the efficiency of these methods.…”

Section: Fast High Quality Renderingmentioning

confidence: 99%

Spectral Domain Decomposition Method for Physically-Based Rendering of Royaumont Abbey

Gbikpi-Benissan

Callet

Magoulès

2016

2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Co

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In the context of a virtual reconstitution of the destroyed Royaumont abbey church, this paper investigates computer sciences issues intrinsic to the physically-based image rendering. First, a virtual model was designed from historical sources and archaeological descriptions. Then some materials physical properties were measured on remains of the church and on pieces from similar ancient churches. We specify the properties of our lighting source which is a representation of the sun, and present the rendering algorithm implemented in our software Virtuelium. In order to accelerate the computation of the interactions between light-rays and objects, this ray-tracing algorithm is parallelized by means of domain decomposition techniques. Numerical experiments show that the computational time saved by a classic parallelization is much less significant than that gained with our approach.

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