Hydra: a C++11 framework for data analysis in massively parallel platforms
نویسندگان
چکیده
منابع مشابه
Hydra: a C++11 framework for data analysis in massively parallel platforms
Hydra is a header-only, templated and C++11-compliant framework designed to perform the typical bottleneck calculations found in common HEP data analyses on massively parallel platforms. The framework is implemented on top of the C++11 Standard Library and a variadic version of the Thrust library and is designed to run on Linux systems, using OpenMP, CUDA and TBB enabled devices. This contribut...
متن کاملRobustness of Massively Parallel Sequencing Platforms
The improvements in high throughput sequencing technologies (HTS) made clinical sequencing projects such as ClinSeq and Genomics England feasible. Although there are significant improvements in accuracy and reproducibility of HTS based analyses, the usability of these types of data for diagnostic and prognostic applications necessitates a near perfect data generation. To assess the usability of...
متن کاملExpressing Massively Parallel Algorithms for Irregular Data Expressing Massively Parallel Algorithms for Irregular Data
In this paper we present a data-parallel language called MPL, for which the basic data structure is the graph. The purpose of this language is to program numerical algorithms that use irregular data, and to allow them to execute on distributed memory MIMD machines. We deene the graph data structure and give some examples of how irregular data structures can be described from graphs with our app...
متن کاملa framework for identifying and prioritizing factors affecting customers’ online shopping behavior in iran
the purpose of this study is identifying effective factors which make customers shop online in iran and investigating the importance of discovered factors in online customers’ decision. in the identifying phase, to discover the factors affecting online shopping behavior of customers in iran, the derived reference model summarizing antecedents of online shopping proposed by change et al. was us...
15 صفحه اولAutomatic Data Distribution for Massively Parallel Processors Automatic Data Distribution for Massively Parallel Processors Automatic Data Distribution for Massively Parallel Processors
Massively Parallel Processor systems provide the required computational power to solve most large scale High Performance Computing applications. Machines with physically distributed memory allow a cost-e ective way to achieve this performance, however, these systems are very di cult to program and tune. In a distributed-memory organization each processor has direct access to its local memory, a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2018
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1085/4/042013