Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
An Introduction to Parallel Programming
An Introduction to Parallel Programming

Parallel hardware has been ubiquitous for some time now. It’s difficult to find a laptop, desktop, or server that doesn’t use a multicore processor. Beowulf clusters are nearly as common today as high-powered workstations were during the 1990s, and cloud computing could make distributed-memory systems as accessible as...

Professional Hadoop
Professional Hadoop

The professional's one-stop guide to this open-source, Java-based big data framework

Professional Hadoop is the complete reference and resource for experienced developers looking to employ Apache Hadoop in real-world settings. Written by an expert team of certified Hadoop developers, committers, and Summit...

Introduction to Embedded Systems: Using ANSI C and the Arduino Development Environment (Synthesis Lectures on Digital Circuits and Systems)
Introduction to Embedded Systems: Using ANSI C and the Arduino Development Environment (Synthesis Lectures on Digital Circuits and Systems)

Many electrical and computer engineering projects involve some kind of embedded system in which a microcontroller sits at the center as the primary source of control.

The recently-developed Arduino development platform includes an inexpensive hardware development board hosting an eight-bit ATMEL ATmega-family processor...

Parallel Scientific Computing and Optimization: Advances and Applications (Springer Optimization and Its Applications)
Parallel Scientific Computing and Optimization: Advances and Applications (Springer Optimization and Its Applications)
This work introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix...
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA

Build GPU-accelerated high performing applications with Python 2.7, CUDA 9, and open source libraries such as PyCUDA and scikit-cuda. We recommend the use of Python 2.7 as this version has stable support across all libraries used in this book.

Key Features

  • Get to grips with GPU programming...
Java EE 8 Development with Eclipse: Develop, test, and troubleshoot Java Enterprise applications rapidly with Eclipse, 3rd Edition
Java EE 8 Development with Eclipse: Develop, test, and troubleshoot Java Enterprise applications rapidly with Eclipse, 3rd Edition

Develop and deploy fully functional applications and microservices utilising Tomcat, Glassfish servers, Cloud and docker in Java EE 8

Key Features

  • Explore the complete workflow of developing enterprise Java applications
  • Develop microservices with Docker Container and...
Learn Unity ML-Agents - Fundamentals of Unity Machine Learning: Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games
Learn Unity ML-Agents - Fundamentals of Unity Machine Learning: Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games

Transform games into environments using machine learning and Deep learning with Tensorflow, Keras, and Unity

Key Features

  • Learn how to apply core machine learning concepts to your games with Unity
  • Learn the Fundamentals of Reinforcement Learning and Q-Learning and apply...
Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras
Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras

Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem

Key Features

  • Build deep learning models with transfer learning principles in Python
  • implement transfer learning to solve real-world research...
Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi
Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow

Key Features

  • Build TensorFlow-powered AI applications for mobile and embedded devices
  • Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning
  • ...
Interprocess Communications in Linux®: The Nooks & Crannies
Interprocess Communications in Linux®: The Nooks & Crannies

The topic of interprocess communication techniques is broad, challenging and dynamic. All but the most basic operating systems provide methods for processes communication. Early on, UNIX supported a number of rudimentary process communication constructs (such as lock files, signals and pipes). In the early 1980s, facilities such...

Fast Data Processing with Spark (Community Experience Distilled)
Fast Data Processing with Spark (Community Experience Distilled)

High-speed distributed computing made easy with Spark

Overview

  • Implement Spark's interactive shell to prototype distributed applications
  • Deploy Spark jobs to various clusters such as Mesos, EC2, Chef, YARN, EMR, and so on
  • Use Shark's SQL query-like syntax with...
Hands-On Concurrency with Rust: Confidently build memory-safe, parallel, and efficient software in Rust
Hands-On Concurrency with Rust: Confidently build memory-safe, parallel, and efficient software in Rust

Get to grips with modern software demands by learning the effective uses of Rust's powerful memory safety.

Key Features

  • Learn and improve the sequential performance characteristics of your software
  • Understand the use of operating system processes in a high-scale...
Result Page: 96 95 94 93 92 91 90 89 88 87 86 85 
©2019 LearnIT (support@pdfchm.net) - Privacy Policy