This is a post in two parts: Part 1 – The problem, solution setup, the algorithm. Part 2 – (The juicy) Implementation details, discussion. Suppose at the heart of the data layer of a web application there is a join like this: This join filters patents belonging to a set of classes from the Patents […]

Just a quick note. If you are starting from a template C++ CUDA project in VS 2012/2013, calling a kernel from a kernel (dynamic parallelism) would not compile: error : kernel launch from __device__ or __global__ functions requires separate compilation mode To fix this, first make sure your hardware supports it (cc 3.5 or higher) […]

Intro Focus + context visualizations are quite useful when we want to zoom into some part of a visualization, but are unwilling to give up the “bird’s eye” view of the entire picture. In this case, we distort the part of the visual on which we want to focus, while preserving the entire view. In […]

In the previous post I spoke briefly about motivations for implementing self-organizing maps in F# using GPU with CUDA. I have finally been able to outperform a single threaded C++ implementation by a factor of about 1.5. This is quite modest, but on the other hand rather impressive since we started out by being 60 […]

By 2017, it is expected that GPUs will no longer be an external accelerator to a CPU; instead, CPUs and GPUs will be integrated on the same die with a unified memory architecture. Such a system eliminates some of accelerator architectures’ historical challenges, including requiring the programmer to manage multiple memory spaces, suffering from bandwidth […]