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Hadoop parallel processing can multiply performance, GPU is increasingly becoming an important burden of computing tasks, Altoros BAE Research and development team has been dedicated to explore the possibility of HADOOP+GPU, and in the actual large-scale system implementation, this article is part of their research results. Hadoop parallel processing can improve performance exponentially. The question now is what happens if some of the computing work is migrated from the CPU to the GPU? Can be faster theoretically, if these processes are optimized for parallel computing, on the GPU ...
Spark is a cluster computing platform that originated at the University of California, Berkeley Amplab. It is based on memory calculation, from many iterations of batch processing, eclectic data warehouse, flow processing and graph calculation and other computational paradigm, is a rare all-round player. Spark has formally applied to join the Apache incubator, from the "Spark" of the laboratory "" EDM into a large data technology platform for the emergence of the new sharp. This article mainly narrates the design thought of Spark. Spark, as its name shows, is an uncommon "flash" of large data. The specific characteristics are summarized as "light, fast ...
"Editor's note" with the development of artificial intelligence technology, the major technology companies have increased their investment in deep learning, and as the National Science Foundation is the same, now, it through the funding of the United States University researchers, to promote the depth of learning algorithms on the FPGA and super computer running. Although it is only a trend that represents the depth of learning, but with the business operations of major technology companies and more in-depth study into the University Research Center and the National Laboratory, the development of in-depth learning to play a positive role in promoting. The following is the original: machine learning in the past few years ...
With the development and popularity of artificial intelligence technology, Python has surpassed many other programming languages and has become one of the most popular and most commonly used programming languages in the field of machine learning.
Large data requires a large amount of computational resources to store, organize, and report results. This emerging sector has changed the way data center servers and other infrastructure are chosen and deployed. In order to compete and succeed in today's business environment, companies have to make business decisions by multidimensional analysis of existing data. Analyzing these ballooning data has become an increasingly important trend and opportunity. The Searchdatacenter Advisory Committee will introduce the business model affected by large data, how to change the operation of Enterprise Data center, and ...
Large data requires a large amount of computational resources to store, organize, and report results. This emerging sector has changed the way data center servers and other infrastructure are chosen and deployed. In order to compete and succeed in today's business environment, companies have to make business decisions by multidimensional analysis of existing data. Analyzing these ballooning data has become an increasingly important trend and opportunity. The Searchdatacenter Advisory Committee will introduce the business model affected by large data, how to change the operation of Enterprise Data center, and ...
Large data age, not only bring great social value and commercial value, but also bring a lot of controversy and worthy of research topics. Large data requires a large amount of computational resources to store, organize, and report results. This emerging sector has changed the way data center servers and other infrastructure are chosen and deployed. In order to compete and succeed in today's business environment, companies have to make business decisions by multidimensional analysis of existing data. Analyzing these ballooning data has become an increasingly important trend and opportunity. Searchdatacente ...
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