---
product_id: 395863195
title: "Programming Massively Parallel Processors: A Hands-on Approach"
brand: "wen-mei w. hwudavid b. kirkizzat el hajj"
price: "A$221"
currency: AUD
in_stock: true
reviews_count: 8
url: https://www.desertcart.com.au/products/395863195-programming-massively-parallel-processors-a-hands-on-approach
store_origin: AU
region: Australia
---

# Programming Massively Parallel Processors: A Hands-on Approach

**Brand:** wen-mei w. hwudavid b. kirkizzat el hajj
**Price:** A$221
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Programming Massively Parallel Processors: A Hands-on Approach by wen-mei w. hwudavid b. kirkizzat el hajj
- **How much does it cost?** A$221 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.com.au](https://www.desertcart.com.au/products/395863195-programming-massively-parallel-processors-a-hands-on-approach)

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- wen-mei w. hwudavid b. kirkizzat el hajj enthusiasts

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## Description

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## Customer Reviews

### ⭐⭐⭐⭐⭐ The best CUDA book on the market today
*by M***M on March 31, 2024*

I've been using this book to teach my sessions in the cuda mode discord community, it's been by far the best reference I've found on the market to learn CUDA.In particular chapters 1-6 will give you the core foundation to be able to start working on your own CUDA kernels and if you supplement those chapters with learning how to integrate your kernels in pytorch using features like load_inline but also the ncu profiler you'll be well on your way to writing real-world kernels that are performant. There' a long glossary of confusing concepts like grids, blocks, threads, warps which you won't remember if you're browsing the occasional medium blogpost or Wikipedia article, even ChatGPT often makes subtle mistakes. Learning CUDA or at least the basics of it is very much a open the textbook and do the problems sort of exercise.Starting chapter 7 the book goes into various case studies of popular algorithms and how to optimize them , the lessons are generically helpful even if you're not interested in those subproblems but my point is more that the book becomes significantly easier to understand after the initial struggle from chapter 1 through 6. This is also a natural point for you to experiment with your own CUDA kernels in maybe a workload you're trying to accelerate at work, whenever you get stuck you can browse the book for inspiration on common CUDA patterns that accelerate performance.Before this book I'd been stuck in tutorial hell with cuda for many years but this book gave me the right foundation to start using kernels at my day job and it's been a fantastic level up. Keep in mind that with tools like ChatGPT or code generators like torch.compile you can focus on only learning CUDA as opposed to also having to learn about makefiles and c++Granted the main gap the book seems to have is that it doesn't really cover CUDA C++ so reading codebases like CUTLASS will still be a struggle but more importantly the book doesn't cover how to program with tensor cores or have a treatment of lower precision dtypes and with modern ML workloads. CUDA streams are also briefly covered but spending a bit more on NCCL would be really nice to see in future editions.

### ⭐⭐⭐⭐⭐ Perfect for CPU programmers transitioning to GPU
*by B***Y on October 4, 2024*

Very clear and thoughtful, covers not only the programming abstractions needed to use CUDA to develop applications, but uses that context to explain the hardware differences and challenges. One of the best programming books I've ever read.

### ⭐⭐⭐⭐⭐ A must-have for learning Parallel Programming
*by A***M on October 14, 2024*

A great overview along with deep-dives. College & Masters level content.

## Frequently Bought Together

- Programming Massively Parallel Processors: A Hands-on Approach
- CUDA by Example: An Introduction to General-Purpose GPU Programming
- Parallel and High Performance Computing

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*Product available on Desertcart Australia*
*Store origin: AU*
*Last updated: 2026-03-21*