Programming With Actors
Download Programming With Actors PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Programming With Actors book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Programming with Actors
The set of papers collected in this issue originated from the AGERE! Workshop series - the last edition was held in 2017 - and concern the application of actor-based approaches to mainstream application domains and the discussion of related issues. The issue is divided into two parts. The first part concerns Web Programming; Data-Intensive Parallel Programming; Mobile Computing; Self-Organizing Systems and the second part concerns Scheduling; Debugging; Communication and Coordination; Monitoring.
Languages and Compilers for Parallel Computing
Author: Utpal Banerjee
language: en
Publisher: Springer Science & Business Media
Release Date: 1993-12-08
The articles in this volume are revised versions of the best papers presented at the Fifth Workshop on Languages and Compilers for Parallel Computing, held at Yale University, August 1992. The previous workshops in this series were held in Santa Clara (1991), Irvine (1990), Urbana (1989), and Ithaca (1988). As in previous years, a reasonable cross-section of some of the best work in the field is presented. The volume contains 35 papers, mostly by authors working in the U.S. or Canada but also by authors from Austria, Denmark, Israel, Italy, Japan and the U.K.
Deploying Bert-serving-server for Scalable NLP
"Deploying Bert-serving-server for Scalable NLP" "Deploying Bert-serving-server for Scalable NLP" is a comprehensive technical guide designed for professionals and practitioners seeking to harness the power of BERT models at scale. The book opens with a rigorous examination of BERT’s transformative architecture, modern NLP pipelines, and the complexities of deploying large pretrained language models in real-world environments. Readers are equipped with the essential knowledge to evaluate performance trade-offs, optimize model throughput and latency, and employ transfer learning strategies that tailor BERT for precise industrial tasks. Foundational concerns such as system requirements, dataset considerations, and industry case studies provide vital context for any team aspiring to operationalize advanced language models. Delving into the core of bert-serving-server, the content offers a meticulous breakdown of server design, communication protocols, model integrations, and throughput-maximizing mechanisms like efficient batching and worker pooling. The book guides readers through every layer of production-ready architecture, from high-availability topology design to fault tolerance, autoscaling, secure multi-tenancy, and seamless integration with upstream and downstream systems. Security and compliance are addressed with depth, offering strategies for robust access controls, encrypted communications, resilient API surfaces, and stringent monitoring and audit practices to safeguard both data and infrastructure. Accompanying these technical foundations is a wealth of practical know-how for DevOps and cloud-native operations, including automated Kubernetes deployments, infrastructure-as-code, CI/CD integration, multi-cloud scaling, and cost optimization. Advanced chapters explore custom extensions, domain adaptation, and plugin frameworks, enabling organizations to tailor and expand their serving infrastructure. The book concludes with illuminating case studies and forward-looking analyses, highlighting innovative industry deployments, migration planning, research frontiers, and the critical role of open-source contributions in shaping the future of scalable NLP systems.