NVIDIA Introduces Debugger and Profiler for GPU Computing

By DE Editors

The CUDA architecture is a platform for developing and running GPU computing applications, with support for C, OpenCL, DirectX Compute, Fortran, and other languages and APIs.

The latest CUDA 2.2 Beta contains a host of new features, including:

• Hardware debugger for the GPU: Linux developers can now use a debugger on CUDA-enabled GPUs that offers the familiar interface of the popular open-source GDB debugger and the ability to debug kernels as they execute on the GPU.
• Visual Profiler v2.2 for the GPU: The most common step in tuning application performance is profiling the application and then modifying the code. The CUDA Visual Profiler is a graphical tool that enables profiling C applications running on the GPU. This latest release of the CUDA Visual Profiler supports full measurement of memory bandwidth within a kernel, giving developers visibility into one of the most performance-critical areas of CUDA.
• Full support for Microsoft Windows Server 2003/2008: Tesla C1060 and S1070 are now fully supported under both Microsoft Windows Server 2003 and 2008. CUDA 2.2 runs on Windows, Mac OSX and many LINUX distributions.

For a full list of new features in CUDA 2.2 and to get early access, see discussion on the CUDA forums.

Sources: Press materials received from the company and additional information gleaned from the company’s website.