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Gratis

The availability of many-core computing platforms enables a wide variety of technical solutions for systems across the embedded, high-performance and cloud computing domains. However, large scale manycore systems are notoriously hard to optimise. Choices regarding resource allocation alone can account for wide variability in timeliness and energy dissipation (up to several orders of magnitude).
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de Cheng-Zhong Xu ...

Series series Chapman & Hall/CRC Computer and Information Science Series
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Series series Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
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eBooks de Proceso paralelo

Getting Started with Nano Server

Ultimate Tailwind CSS Handbook

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Containers com Docker

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Mastering AI System Design

PROFESSIONALS UNDER THE ALGORITHM SPOTLIGHT Ethics, Image, and Competition in the Digital Age

The Crypto Factor

Data Protection and the Cloud - Are you really managing the risks?

ERP Implementation and Business Architecture : Systems Approach for Design and Deployment

Managing Kubernetes Resources Using Helm

Learning Domain-Driven Design

NGINX Unit Cookbook

Computational Intelligence in Healthcare Law

Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing

Google Cloud Certified Professional Cloud Developer Exam Guide

An Atypical ASP.NET Core 6 Design Patterns Guide

Sustainable IT Playbook for Technology Leaders

Concurrent Patterns and Best Practices

Implementing Azure Solutions

Microsoft Azure AI Fundamentals (AI-900) Certification Guide

Clean Architecture with Python

Scalable and Secure Internet Services and Architecture

Grid Resource Management