Allinea Extends Performance Tools to CUDA

Print Friendly, PDF & Email

logo-allineaToday Allinea announced CUDA 7 support for its DDT debugger. The news will be welcomed by HPC developers using the company’s Allinea Forge unified programming environment, which includes DDT and the Allinea MAP profiler.

System owners and administrators are also set to benefit from the announcement that GPU metrics have been added to Allinea Performance Reports. The tool transparently analyzes applications running on a system to measure and analyze achieved efficiency – enabling rapid triage and targeting of applications and systems that are missing out on performance.

Moving from single-node to multiple nodes is a significant challenge for all developers, especially when making use of multiple GPUs. To achieve real speedup you need to see where and why code spends time in MPI, I/O, GPU and OpenMP code, to measure GPU utilization without affecting performance,” says Mark O’Connor, VP Product Management for Allinea. “Our users can see how each line of source code spends its time, identify bottlenecks and dive right down into individual kernels with the debugger to understand and fix errors on the path to production-ready CUDA and OpenACC code.”

In this video, Mark O’Conner from Allinea demonstrates the company’s new Forge software development suite.

At Allinea’s GPU Technology Conference session on March 19, Allinea will demonstrate the process of bringing compute intensive codes to the CUDA and OpenACC environments and how developers can realize fast and effective GPU acceleration.

The company will also be running hands-on training on March 19 at 4pm in (room 211A) to equip attendees with the skills to rapidly port, optimize and debug high-performance applications to Nvidia GPUs.

Sign up for our insideHPC Newsletter.