February 2028
400 pages
2h 30m
English
Content preview from NVIDIA: Open Source Ecosystem
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Brief Table of Contents (Not Yet Final)
Preface (unavailable)
Part I: Foundations
Chapter 1: The GPU Computing Landscape and NVIDIA’s Open-Source Bet
Chapter 2: GPU Architecture from the Programmer’s Perspective (unavailable)
Chapter 3: The CUDA Programming Model (unavailable)
Chapter 4: The Standard Library for CUDA C++ (unavailable)
Part II: GPU-Accelerated Data Science with RAPIDS
Chapter 5: RMM and the RAPIDS Memory Model (unavailable)
Chapter 6: GPU DataFrames and the Pandas Revolution (unavailable)
Chapter 7: cuML — Machine Learning at GPU Speed (unavailable)
Chapter 8: cuGraph — Graph Analytics and the NetworkX Backend (unavailable)
Chapter 9: cuVS — Search for the Era of Unstructured Data
Part III: Deep Learning Infrastructure
Chapter 10: CUTLASS and CuTe — Open-Source Matrix Multiplication (unavailable)
Chapter 11: DALI and CV-CUDA — GPU-Accelerated Data Pipelines (unavailable)
Chapter 12: NCCL and Multi-GPU Communication (unavailable)
Chapter 13: TensorRT-LLM and Triton — Inference at Scale (unavailable)
Part IV: The Broader Ecosystem and Practice
Chapter 14: Profiling and Debugging GPU Applications (unavailable)
Chapter 15: The Wider NVIDIA Open-Source World (unavailable)
Chapter 16: Contributing to the NVIDIA Open-Source Ecosystem (unavailable)
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.