کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
455228 695350 2015 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The hardware accelerator debate: A financial risk case study using many-core computing
ترجمه فارسی عنوان
بحث شتاب دهنده سخت افزار: مطالعه موردی در مورد خطر مالی با استفاده از محاسبات هسته ای
کلمات کلیدی
شتاب دهنده سخت افزاری، محاسبات بسیاری از هسته، عدم اطمینان ثانویه، خطر مالی، خطر فاجعه آمیز، تحلیل ریسک
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی


• Parallel algorithms for real-time aggregate risk analysis is developed.
• The algorithms are evaluated on hardware accelerators such as GPUs and Phis.
• Both hardware accelerators are useful in different contexts for risk analysis.
• The Phi generates best timing results when employed independently.
• The GPU is most effective when used in a hybrid platform.

The risk of reinsurance portfolios covering globally occurring natural catastrophes, such as earthquakes and hurricanes, is quantified by employing simulations. These simulations are computationally intensive and require large amounts of data to be processed. The use of many-core hardware accelerators, such as the Intel Xeon Phi and the NVIDIA Graphics Processing Unit (GPU), are desirable for achieving high-performance risk analytics. In this paper, we set out to investigate how accelerators can be employed in risk analytics, focusing on developing parallel algorithms for Aggregate Risk Analysis, a simulation which computes the Probable Maximum Loss of a portfolio taking both primary and secondary uncertainties into account. The key result is that both hardware accelerators are useful in different contexts; without taking data transfer times into account the Phi had lowest execution times when used independently and the GPU along with a host in a hybrid platform yielded best performance.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Electrical Engineering - Volume 46, August 2015, Pages 157–175
نویسندگان
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