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• W2253669832 abstract "In an exploration context, Oil and Gas (O&G) companies rely on HPC to accelerate depth imaging algorithms. Solutions based on CPU clusters and hardware accelerators are widely embraced by the industry. The Graphics Processing Units (GPUs), with a huge compute power and a high memory bandwidth, had attracted significant interest.However, deploying heavy imaging workflows, the Reverse Time Migration (RTM) being the most famous, on such hardware had suffered from few limitations. Namely, the lack of memory capacity, frequent CPU-GPU communications that may be bottlenecked by the PCI transfer rate, and high power consumptions. Recently, AMD has launched theAccelerated Processing Unit (APU): a processor that merges a CPU and a GPU on the same die, with promising features notably a unified CPU-GPU memory. Throughout this thesis, we explore how efficiently may the APU technology be applicable in an O&G context, and study if it can overcome the limitations that characterize the CPU and GPU based solutions. The APU is evaluated with the help of memory, applicative and power efficiency OpenCL benchmarks. The feasibility of the hybrid utilization of the APUs is surveyed. The efficiency of a directive based approach is also investigated. By means of a thorough review of a selection of seismic applications (modeling and RTM) on the node level and on the large scale level, a comparative study between the CPU, the APU and the GPU is conducted. We show the relevance of overlapping I/O and MPI communications with computations for the APU and GPUclusters, that APUs deliver performances that range between those of CPUs and those of GPUs, and that the APU can be as power efficient as the GPU." @default.
• W2253669832 created "2016-06-24" @default.
• W2253669832 creator A5062925114 @default.
• W2253669832 date "2015-12-21" @default.
• W2253669832 modified "2023-09-25" @default.
• W2253669832 title "Contributions of hybrid architectures to depth imaging: a CPU, APU and GPU comparative study" @default.
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• W2253669832 cites W1492601037 @default.
• W2253669832 cites W1505706396 @default.
• W2253669832 cites W1522241184 @default.
• W2253669832 cites W1550822980 @default.
• W2253669832 cites W1552387776 @default.
• W2253669832 cites W1757537413 @default.
• W2253669832 cites W1939837620 @default.
• W2253669832 cites W1965717698 @default.
• W2253669832 cites W1967134278 @default.
• W2253669832 cites W1970333790 @default.
• W2253669832 cites W1975139914 @default.
• W2253669832 cites W1976261729 @default.
• W2253669832 cites W1984749813 @default.
• W2253669832 cites W1987873989 @default.
• W2253669832 cites W1990075242 @default.
• W2253669832 cites W1994595608 @default.
• W2253669832 cites W1996049317 @default.
• W2253669832 cites W1997147891 @default.
• W2253669832 cites W1997678737 @default.
• W2253669832 cites W2001258868 @default.
• W2253669832 cites W2003017040 @default.
• W2253669832 cites W2011637083 @default.
• W2253669832 cites W2012591111 @default.
• W2253669832 cites W2014555481 @default.
• W2253669832 cites W2016888570 @default.
• W2253669832 cites W2032117876 @default.
• W2253669832 cites W2034714579 @default.
• W2253669832 cites W2044804449 @default.
• W2253669832 cites W2058527440 @default.
• W2253669832 cites W2059807497 @default.
• W2253669832 cites W2063186542 @default.
• W2253669832 cites W2064018809 @default.
• W2253669832 cites W2065208324 @default.
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• W2253669832 cites W2074833026 @default.
• W2253669832 cites W2076077791 @default.
• W2253669832 cites W2076211048 @default.
• W2253669832 cites W2077458039 @default.
• W2253669832 cites W2083051666 @default.
• W2253669832 cites W2097757554 @default.
• W2253669832 cites W2100067153 @default.
• W2253669832 cites W2100245965 @default.
• W2253669832 cites W2102921232 @default.
• W2253669832 cites W2106508418 @default.
• W2253669832 cites W2108266785 @default.
• W2253669832 cites W2108314995 @default.
• W2253669832 cites W2108784402 @default.
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• W2253669832 cites W2129050115 @default.
• W2253669832 cites W2131330393 @default.
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• W2253669832 cites W2149921618 @default.
• W2253669832 cites W2150065718 @default.
• W2253669832 cites W2153038691 @default.
• W2253669832 cites W2154786353 @default.
• W2253669832 cites W2155303484 @default.
• W2253669832 cites W2159161031 @default.
• W2253669832 cites W2161034784 @default.
• W2253669832 cites W2165214849 @default.
• W2253669832 cites W2169129525 @default.
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• W2253669832 cites W2172266042 @default.
• W2253669832 cites W2185651006 @default.
• W2253669832 cites W2187529163 @default.
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• W2253669832 cites W2271298619 @default.
• W2253669832 cites W2314948407 @default.
• W2253669832 cites W2329211614 @default.
• W2253669832 cites W2504238761 @default.
• W2253669832 cites W2622151058 @default.
• W2253669832 cites W2963812800 @default.
• W2253669832 cites W52042216 @default.
• W2253669832 cites W620685539 @default.
• W2253669832 cites W88065930 @default.
• W2253669832 cites W2125588078 @default.
• W2253669832 hasPublicationYear "2015" @default.
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