Numerical Linear Algebra for Programmers

Interactive Programming for Artificial Intelligence series; Numerical Linear Algebra for Programmers: An Interactive Tutorial with GPUs, CUDA, OpenCL, MKL, Java, and Clojure

aren’t these two frends adorable? the book is too!

get the book now

or scroll down to read the pitch, download sample chapters,

subscribe later and read the whole draft :)

Open Source Libraries

Why?

basically…

a book for programmers

interactive & dynamic

a direct link from theory to implementation

incredible performance

Intel & AMD CPUs (MKL)

Nvidia GPUs (CUDA and cuBLAS)

AMD GPUs (yes, OpenCL too!)

Clojure (it’s magic!)

Java Virtual Machine (without Java boilerplate!)

complete source code

beautiful typesetting (see the sample chapters below)

No Middleman

no middleman!

100% of the revenue goes towards my open source work!

For Programmers

the only AI book that walks the walk

complete, 100% executable, code inside

step-by-step instructions

full path from theory to implementation in actual code

superfast implementation

Other books are either math-only monographs for academics, or written for non-technical end users.

Linear Algebra

learn linear algebra with code examples

explore it on the CPU

run it on the GPU!

integrate with Intel’s MKL and Nvidia’s cuBLAS performance library

learn the nuts and bolts

understand how to use it to solve practical problems

…and much more!

Interactive

immediate dynamic feedback

see the result of executing each line

experiment in a live environment

no C++ build hell

no C++ syntax hell!

Java Virtual Machine, but without Java boilerplate

Clojure, the nicest language on earth :-)

no C++ at all!!!

Fast

optimized

yet, high-level (you don’t touch C++)

CPUs

learn Intel MKL

GPUs

learn CUDA & cuBLAS

learn OpenCL

all hardware: Nvidia, AMD, Intel

you don’t touch C++!!!

Download

download sample chapters (DRAFTS)

Vector Spaces

Linear Transformations

many free articles at dragan.rocks

or subscribe now and get the latest version of the book and the the source code.

buy

subscribe now for early access

read drafts now

get new chapters as they are written

all revenue goes towards funding my work on the open source libraries used in the book

subscription perks

your name in the book’s acknowledgments

special copy with a personalized thank you note

personalized handcrafted hardcovers for chapter sponsors

get the book now and help make it awesome!

Contents

Table of Contents

Part 1: Getting Started (SOON)

Hello world (SOON)

Vectors, matrices, and linear algebra API (SOON)

Polymorphic acceleration (SOON)

Part 2: Linear algebra refresher (AVAILABLE)

Vector spaces (AVAILABLE)

Eigenvalues and eigenvectors (AVAILABLE)

Matrix transformations (AVAILABLE)

Linear transformations (AVAILABLE)

Part 3: High performance matrix computations (AVAILABLE)

Using matrices efficiently (AVAILABLE)

Linear systems and factorization (AVAILABLE)

Orthogonalization and least squares (AVAILABLE)

Part 4: GPU acceleration

GPU computing crash course

CUDA and cuBLAS on Nvidia GPUs

OpenCL and CLBlast on AMD GPUs

Part 5: In practice (SOON)

Random matrices (SOON)

Mean and variance (SOON)

Broadcasting (SOON)

Principal component analysis

Appendix

Setting up the environment and the JVM

Subscribe

subscribe now for early access

read drafts now

get new chapters as they are written

all revenue goes towards funding my work on the open source libraries used in the book

subscription perks

your name in the book’s acknowledgments

special copy with a personalized thank you note

personalized handcrafted hardcovers for chapter sponsors

get in early and help make this book awesome!

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