Allinea Software – Educating Parallel Programmers of the Future
Posted on Tue, May 22, 2012
Allinea DDT, the essential debugger, scales to classrooms, too
SAN JOSE, Calif., 2012-05-22, Allinea Software today announced the launch of a new Allinea DDT CUDA Education pack, developed with experienced computer science lecturers to provide an exciting addition to CUDA lecture courses – the art of debugging CUDA.
CUDA® is the NVIDIA® parallel computing platform that enables dramatic increases in computing performance by harnessing the power of graphics processing units (GPUs). To secure future employability, graduates need hands-on and relevant programming knowledge, skills and experience, and learning to code and debug CUDA applications is one of these necessary skills. The Allinea DDT CUDA Education pack makes teaching CUDA debugging possible for academic institutions, providing a time-saving, ready-to-use pack of comprehensive lecture materials and licences for Allinea DDT for CUDA.
“Many academic institutions find it difficult to include CUDA debugging into their already substantial curriculum, but acknowledge the need for its presence. The Allinea DDT CUDA Education pack helps meet this need and gives access to best-in-class tools to help academics deliver the best in-class experience for their students,” commented Mike Fish, CEO of Allinea Software.
The pack makes teaching the art of debugging CUDA code simpler and more accessible. With an advanced debugger for parallel programming via CUDA on Linux, Allinea Software is uniquely positioned to share their expertise. “This is a big step forward in educating the programmers of the future on GPU computing. It gives students access to a robust and powerful debugging tool within their institution’s budget,” added David Luebke, senior director of research and head of academic research programs at NVIDIA.
The pack contains annual subscriptions to a classroom-sized set of CUDA scalar workstation licences, white papers on debugging CUDA, and complete lecture notes suitable for introductory CUDA debugging and hands-on walkthrough examples and exercises.