BOOKS - PROGRAMMING - Data Parallel C++ Mastering DPC++ for Programming of Heterogene...
Data Parallel C++ Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL, 2nd Edition - James Reinders, Ben Ashbaugh, James Brodman, Michael Kinsner 2023 PDF | EPUB Apress BOOKS PROGRAMMING
ECO~23 kg CO²

2 TON

Views
32472

Telegram
 
Data Parallel C++ Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL, 2nd Edition
Author: James Reinders, Ben Ashbaugh, James Brodman, Michael Kinsner
Year: 2023
Pages: 648
Format: PDF | EPUB
File size: 57.8 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Predictive Data Modelling for Biomedical Data and Imaging (River Publishers Series in Biotechnology and Medical Research)
Avoiding Data Pitfalls How to Steer Clear of Common Blunders When Working with Data and Presenting Analysis and Visualizations
Hands-on Data Analysis and Visualization with Pandas Engineer, Analyse and Visualize Data, Using Powerful Python Libraries
Statistical and Machine-Learning Data Mining Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition
Tableau for Salesforce: Visualise data and generate insights with the leading platforms for data analytics (English Edition)
Recent Advances in Hybrid Metaheuristics for Data Clustering (The Wiley Series in Intelligent Signal and Data Processing)
Data Structures and Algorithms Made Easy in Java Data Structure and Algorithmic Puzzles, 5th Edition
Good, the Bad, and the Data: Shane the Lone Ethnographer|s Basic Guide to Qualitative Data Analysis
Delta Lake The Definitive Guide Modern Data Lakehouse Architectures with Data Lakes (Final Release)
Taming The Big Data Tidal Wave Finding Opportunities in Huge Data Streams with Advanced Analytics
Mastering SQL Joins A Quick Handbook On Mastering SQL Joins With Practical Exercises
Is Parallel Programming Hard, And, If So, What Can You Do About It
Paraworld Zero (Parallel Worlds)
Fundamentals of Parallel Computing
From Parallel to Emergent Computing
Parallel: The Life of Patient
Introduction to Parallel Computing
Parallel Programming with Co-arrays
The Parallel Series, Books 1-3
Is Parallel Programming Hard, And, If So, What Can You Do About It?
High Performance Parallel I/O
My Parallel Universe : A Novella
Algorithms and Parallel Computing
Fates Parallel Vol.2
Introduction to Parallel Algorithms
Elements of Parallel Computing
Graph Data Science with Python and Neo4j Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data Science for Building Enterprise Strategies
Graph Data Science with Python and Neo4j Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data Science for Building Enterprise Strategies
Essential Math for Data Science Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics (Third Early Release)
Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data
Data Science in Chemistry Artificial Intelligence, Big Data, Chemometrics and Quantum Computing with Jupyter (De Gruyter Textbook)
Statistics, Data Mining and Machine Learning in Astronomy A Practical Python Guide for the Analysis of Survey Data, Updated Ed
Azure Data Engineer Associate Certification Guide: Ace the DP-203 exam with advanced data engineering skills
Python Data Science The Ultimate Crash Course, Tips, and Tricks to Learn Data Analytics, Machine Learning, and Their Application
Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
Advanced Data Science and Analytics with Python (Chapman and Hall CRC Data Mining and Knowledge Discovery Series)
Supply Chain Performance Evaluation: Application of Data Envelopment Analysis (Studies in Big Data Book 122)
Qlik Sense: Advanced Data Visualization for Your Organization: Create smart data visualizations and predictive analytics solutions
Proceedings of Data Analytics and Management: ICDAM 2021, Volume 1 (Lecture Notes on Data Engineering and Communications Technologies, 90)
Probability and statistics for data science math + R + data