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The Cajuns series follows a family of Acadians (Cajuns) who travel to South Louisiana and start anew after being exiled from their Nova Scotia home. Emilie Thirteen years after her family was torn apart during le grand dérangement, or exile by the British, Cajun Emilie Gallant journeys through untamed Louisiana in search of her father. But the dangers of the bayou are nothing compared to the fierce passion of Lorenz Dugas, her longtime companion. After losing so much, can she let herself love again? Rose Rose Gallant was always the agreeable sister, which is why she’ll do anything to help her Cajun family find their father in the wilds of Louisiana. So when a rich Louisiana Creole offers ...
The use of high male voices in the past has long been one of the most seriously misunderstood areas of musical scholarship and practice. In opening up this rich subject (to readers of all sorts) with refreshingly clear perspectives and plenty of new material, Simon Ravens' well-researched book goes a very long way to rectifying matters. Ravens writes damnably well, and if the story that emerges is necessarily a complex one, his treatment of it is always engagingly comprehensible.' ANDREW PARROTT Tracing the origins, influences and development of falsetto singing in Western music, Simon Ravens offers a revisionist history of high male singing from the Ancient Greeks to Michael Jackson. This h...
This IBM® Redpaper publication describes the architecture, installation procedure, and results for running a typical training application that works on an automotive data set in an orchestrated and secured environment that provides horizontal scalability of GPU resources across physical node boundaries for deep neural network (DNN) workloads. This paper is mostly relevant for systems engineers, system administrators, or system architects that are responsible for data center infrastructure management and typical day-to-day operations such as system monitoring, operational control, asset management, and security audits. This paper also describes IBM Spectrum® LSF® as a workload manager and IBM Spectrum Discover as a metadata search engine to find the right data for an inference job and automate the data science workflow. With the help of this solution, the data location, which may be on different storage systems, and time of availability for the AI job can be fully abstracted, which provides valuable information for data scientists.
In this iconological study, the author demonstrates the invalidity of the current interpretation of the relief on the so-called Peleus and Thetis sarcophagus in the Villa Albani in Rome, an interpretation which goes back to Winckelmann. By applying a modern art-historical method, he arives at a fundamentally new interpretation. It becomes clear that the splendid sarcophagus in the Villa Albani is highly characteristic of 'academic' art of the Hadrianic era. The unique nature of the representation on the Albani sarcophagus, which consists mainly of allegorical figures, makes it an excellent point of entry for the interpretation of mythological scenes applied in a funerary context.
Because of the explosion of unstructured data that is generated by individuals and organizations, a new storage paradigm that is called object storage has been developed. Object storage stores data in a flat namespace that scales to trillions of objects. The design of object storage also simplifies how users access data, supporting new types of applications and allowing users to access data by using various methods, including mobile devices and web applications. Data distribution and management are also simplified, allowing greater collaboration across the globe. OpenStack Swift is an emerging open source object storage software platform that is widely used for cloud storage. IBM® Spectrum ...
This IBM® Redpaper publication focuses on data orchestration in enterprise data pipelines. It provides details about data orchestration and how to address typical challenges that customers face when dealing with large and ever-growing amounts of data for data analytics. While the amount of data increases steadily, artificial intelligence (AI) workloads must speed up to deliver insights and business value in a timely manner. This paper provides a solution that addresses these needs: Data Accelerator for AI and Analytics (DAAA). A proof of concept (PoC) is described in detail. This paper focuses on the functions that are provided by the Data Accelerator for AI and Analytics solution, which simplifies the daily work of data scientists and system administrators. This solution helps increase the efficiency of storage systems and data processing to obtain results faster while eliminating unnecessary data copies and associated data management.
The Swift High Latency Media project seeks to create a high-latency storage back end that makes it easier for users to perform bulk operations of data tiering within a Swift data ring. In today's world, data is produced at significantly higher rates than a decade ago. The storage and data management solutions of the past can no longer keep up with the data demands of today. The policies and structures that decide and execute how that data is used, discarded, or retained determines how efficiently the data is used. The need for intelligent data management and storage is more critical now than ever before. Traditional management approaches hide cost-effective, high-latency media (HLM) storage,...
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