In this episode we'll go over an example of real-world code that has been parallelized by porting to the GPU. The use of shared memory to improve performance is covered as well as a discussion of synchronization points for coordinated work within a work-group. Source code is provided.

In this episode we'll go over an example of real-world code that has been parallelized by porting to the GPU. The use of shared memory to improve performance is covered as well as a discussion of synchronization points for coordinated work within a work-group. Source code is provided.

This episode covers questions hthat were generated from the previous podcast. We'll discuss GPU layout/terminology and bank conflicts resulting from shared memory access.

This episode covers questions hthat were generated from the previous podcast. We'll discuss GPU layout/terminology and bank conflicts resulting from shared memory access.

In this episode we cover some questions regarding function calls from kernels and the use of clFinish. Also, we'll discuss basic GPU architecture, memory layout, shared memory. Thread blocks, warps and efficient data loading will also be discussed.

In this episode we cover some questions regarding function calls from kernels and the use of clFinish. Also, we'll discuss basic GPU architecture, memory layout, shared memory. Thread blocks, warps and efficient data loading will also be discussed.

In this episode we cover some questions that were asked on the forums about double-precision arithmetic, object oriented programming, clarification on global and local work groups and types of scientific calculations that are amenable to GPU computing. In addition, we'll go over in more detail how to query devices for specific information and features and walk through an example of an OpenCL calculation in Xcode.

In this episode we cover some questions that were asked on the forums about double-precision arithmetic, object oriented programming, clarification on global and local work groups and types of scientific calculations that are amenable to GPU computing. In addition, we'll go over in more detail how to query devices for specific information and features and walk through an example of an OpenCL calculation in Xcode.

In this episode, we'll go over the fundamentals of OpenCL. Discussing concepts that once understood, will make implementing and using OpenCL much easier. This episode covers, OpenCL devices, objects and memory spaces. Several code examples are presented and we'll walk through the steps needed to run an OpenCL calculation.

In this episode, we'll go over the fundamentals of OpenCL. Discussing concepts that once understood, will make implementing and using OpenCL much easier. This episode covers, OpenCL devices, objects and memory spaces. Several code examples are presented and we'll walk through the steps needed to run an OpenCL calculation.