Posts tagged with #c++

Talk about GPU computing with CUDA and OpenCL

In March 2017 I gave a talk about GPU computing with CUDA and OpenCL at the para//el 2017 conference in Heidelberg, Germany.

CUDA 8.0 on Mac OS/X

CUDA 8.0 on Mac OS X 10.12 gave me the following error:

Using a __device__ lambda in CUDA 8.0

In CUDA 8.0 C++ 11 lambdas can be used on the device. See the following code.

'Lag' and how to minimize it

Every multiplayer gamer knows it: “Lag”. When you see an opponent too late or you are certain you hit them a hundred percent, but the game decides otherwise: the culprit...

Heat diffusion on multiple GPUs

The implementation of the heat diffusion equation on multiple GPUs is explained in the talk (in german).

Measuring traffic on the PCI Express Bus (PCIe)

During my talk at the parallel 2015 conference i was asked how one can measure traffic on the PCI express bus. For multi GPU computing it is very important to...

A Good Introduction to C++ AMP

“C++ AMP: Accelerated Massive Parallelism with Microsoft Visual C++” is a good introduction to programming with C++ AMP. Unfortunately, at the time of this review, it is the only book...

Examples for parallelism: ray tracer on the GPU

I tested the parallel ray tracer on all NVIDIA cards i bought. This page contains the results.

Examples for parallelism: ray tracer

I wanted to learn some frameworks for parallel computing and i decided to implement a simple ray tracer as a "visual benchmark".

The Best Book on OpenCL 1.x

What makes “OpenCL in Action: How to Accelerate Graphics and Computation” special is that the author, Matthew Scarpino, truly tries to explain the programs. You learn the reasons behind his...

Solid Optimization Tips for CUDA

While browsing through “CUDA Fortran for Scientists and Engineers”, I noticed that the authors provide valuable optimization tips. That piqued my curiosity.

Inspiration for CUDA Experts in the Natural Sciences

The book “GPU Computing Gems (Emerald Edition)” is a collection of 50 scientific articles about experiences using GPU computing in various subject areas.

Only recommended for die-hard CUDA fans

I had already read many articles from the series “CUDA, Supercomputing for the Masses” by Rob Farber on the Dr. Dobb’s website and was quite impressed. Back then in 2009,...

Best CUDA Book for Advanced Users

With CUDA, it’s easy to speed up a calculation by a factor of 2-5. How to achieve higher speedups is explained in “CUDA Programming” by Shane Cook.

Good Tips for Performance Optimization

In “The CUDA Handbook”, Nicholas Wilt proves himself to be very competent and keen to experiment with kernel optimization. Advanced readers will find this book very beneficial.

New Edition Required: Good Book, but Unfortunately Outdated

“Using OpenMP” is a good introduction and contains a few good performance tips.

Currently the Best Presentation of Patterns for Shared Mutability

If you want to bring a bit of systematism to your parallel programming skills, “Structured Parallel Programming: Patterns for Efficient Computation” is the book to start with.

Recommended Classic in a New Edition

I had already read the second edition back in 1992. Since then, a lot has changed for the better, both with C++ and this “classic.”

A Good Overview of C++ 11

In this small book, the creator of C++ provides an overview of the new features in C++ 11 and the STL.

Two articles in iX Developer: GPU Computing mit CUDA

"Massiv parallel - Grundlagen der GPU Programmierung"

"GPU-Programmierung in der Praxis mit CUDA"

First Steps in API Design with C++

“API Design for C++” is an excellent introduction to the implementation of APIs with C++.

Essential for Performance Optimization

What distinguishes “Programming Massively Parallel Processors: A Hands-On Approach” from other books is the precise description of how the hardware works.

Technical proofer of 'OpenCL in Action'

The OpenCL standard is not always easy and the technical proof was a challenge, because the code had to run on different os'es and platforms.

Only for 'Thread Monkeys'

With the title “The Art of Concurrency”, high expectations are set that are not met. The subtitle “A Thread Monkey’s Guide to Writing Parallel Applications” is more fitting for the...

Excellent Book for Beginners and Advanced Readers

“Ray Tracing from the Ground Up” is an excellent book for beginners and advanced readers. You can tell that the author has spent many years working on the subject and...

Compiling OpenCL programs on Mac OS X Snow Leopard

I installed Snow Leopard on my laptop yesterday. I was very curious about OpenCL and installed the drivers and the GPU Computing SDK from NVIDIA.

Hyper-Threading with the Intel Core i7

I have got a new computer. As alway i build it myself. How much faster is it?

Real-Time RayTracer running on Intel Core i7

I tested my ray tracer on Intel Core i7 920 @2.67 MHz.

Real-Time RayTracer running on Core 2 Duo

I tested my ray tracer on my Mac Book Pro.

Parallelization with the Cell Broadband Engine

I wanted to learn about the cell broadband engine in the Playstation 3 and wrote a parallel ray tracer for it.