Compute Speed Test

At the 2012 Supercomputing Conference, Microsoft launched a set of "Big Computing" features for Windows http://www.aliyun.com/zixun/aggregation/13357.html ">azure" to support large computing applications. Examples of large computations include modeling complex engineering problems, understanding financial risks, studying diseases, simulating weather, or analyzing large datasets. As cloud computing offers greater flexibility and economics, the big calculation is now ...

Ignacio M. Liorente, from the Opennebula project, recently published an article entitled EUCALYPTUS, Cloudstack, OPENSTACK and opennebula:a tale of NonBlank Models's blog article analyzes the differences between the four cloud management platforms of Eucalyptus, Cloudstack, OpenStack and Opennebula from the perspective of application scenarios. ...

During the 2017 YunQi Computing Conference held in Shenzhen, Alibaba Cloud’s Chief Science Officer Dr Jingren Zhou officially launched the updated version of its machine learning platform “PAI 2.0”.

The emergence of GPU in recent years, the development of high-performance computing can be described as playing an immeasurable role in promoting. GPU computing on the order of magnitude increase in performance so that it has more success than traditional solutions success stories. A large number of technology workers love, sought after or use GPU technology, but at the same time there are more people for a variety of reasons to sit idly by. This article addresses the latter and summarizes some of the most common problems, concerns, or subjective assumptions in the field of GPU computing. The rest of this article will attempt to address these challenges by rethinking these questions as GPU computing progresses and our projections of future technological developments ...

In the past few years, the use of Apache Spark has increased at an alarming rate, usually as a successor to the MapReduce, which can support thousands of-node-scale cluster deployments. In the memory data processing, the Apache spark is more efficient than the mapreduce has been widely recognized, but when the amount of data is far beyond memory capacity, we also hear some organizations in the spark use of trouble. Therefore, with the spark community, we put a lot of energy to do spark stability, scalability, performance, etc...

MapReduce: Simple data processing on large cluster

1. Flying test challenges flying open platform that flying large-scale distributed computing system (short flying). Flying expects to assemble thousands of PCs into a "supercomputer" that can provide common computing, storage, and task scheduling services for a wide range of different open services and cloud applications. It can be seen from the flying characteristics of the platform, versatility and large-scale, so flying faces a series of challenges. Challenge one: The contradiction between the complexity of platform software and the rhythm of Internet release. There are many complex distributed modules in flying. The complexity of the module itself multiplied by the ...

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

Today, more and more popular cloud concept today, can we imagine their own data stored in the cloud, do not need to move data in the case, you can make the data for complex queries and analysis? It's also Joyent, a high-performance cloud computing infrastructure and big data analytics company that is trying to solve problems with its new Joyent Manta storage service. The goal of Manta, the next-generation cloud computing object storage and data services platform, is to bring computational and analytic capabilities directly to customer data in the cloud. Joyent Bryan Ca ...

The big data age is putting pressure on data storage, and more and more organizations need to build a storage platform that can store large amounts of structured and unstructured data on the basis of cloud computing technology. 　　Cloud storage should be "cloud"-born. The so-called cloud storage, refers to through the cluster application, grid technology or Distributed file system functions, the network of a large number of different types of storage devices through the application software together to work together to provide data storage and business access functions of a system. The key to implementing cloud storage that adapts to user needs is to choose a strong data architecture based on application and deployment requirements ...