March 29, 2010
WARWICK, England, March 29 -- Allinea Software today announced that that it was making a pre-release version of the Distributed Debugging Tool (DDT) for the CUDA architecture available to early-adopter customers. This coincides with the release of NVIDIA's CUDA Toolkit version 3.0.
Over the last year, Allinea has been collaborating with the Commissariat à l'Énergie Atomique (CEA) to develop CUDA-specific feature within its market-leading DDT product. The preliminary results of this close collaboration were shown at Supercomputing '09, when native debugging of CUDA-enabled applications running on NVIDIA Tesla GPUs and x86 host processors was demonstrated. Following the full release of NVIDIA's CUDA Toolkit 3.0, Allinea is pleased to announce that it will be making a pre-release version of DDT for CUDA available to its customers.
"We are delighted to see the results of our collaboration with the CEA making it into our mainstream DDT product," said David Lecomber, CTO of Allinea Software. "We are now able to provide application developers with a single tool that can debug hybrid MPI, OpenMP and CUDA applications on a single workstation or GPU cluster. Features such as the detection of invalid memory accesses, the visualization of GPU data, and GPU thread control have been designed to help our customers find their GPU porting bugs simply and efficiently."
"Developing code for highly parallel GPU architectures is far from straightforward," said Pierre LECA, head of Simulation and Information Sciences Department at CEA, "but the problem is exacerbated when we are faced with parallelism on multiple levels. The CEA have been working closely with Allinea so as to ensure that our application developers will be able to debug applications on hybrid x86/GPU systems. We are very happy with the first results of this collaboration, specifically aimed at the NVIDIA CUDA architecture, and look forward to a continued collaboration in order to further extend these capabilities."
CUDA-specific debugging features will be available in the up-coming product release of DDT, although potential customers are invited to contact Allinea if they are interested in joining the pre-release program.
Allinea Software will be exhibiting at the International Supercomputing Conference, in Hamburg, Germany, from May 30 to June 5, 2010. Demonstrations of DDT for the CUDA architecture will take place at the Allinea stand.
About Allinea Software Ltd.
Based in Warwick, England, with subsidiaries in the US and Germany, Allinea Software Ltd. is a leading supplier of tools for parallel programming and high performance computing (HPC). Allinea's products are used by leading commercial and research institutions across the world, and have consistently set the standard for affordability, functionality and ease-of-use -- whether applied to applications at modest scale or petascale applications on the world's largest supercomputers. With new product features aimed at multi-threaded applications and novel computing architectures, Allinea is now bringing its wealth of experience in parallel tools to the rapidly-expanding arena of multicore processing. For more information, visit www.allinea.com.
Source: Allinea Software Ltd.
10/30/2013 | Cray, DDN, Mellanox, NetApp, ScaleMP, Supermicro, Xyratex | Creating data is easy… the challenge is getting it to the right place to make use of it. This paper discusses fresh solutions that can directly increase I/O efficiency, and the applications of these solutions to current, and new technology infrastructures.
10/01/2013 | IBM | A new trend is developing in the HPC space that is also affecting enterprise computing productivity with the arrival of “ultra-dense” hyper-scale servers.
Ken Claffey, SVP and General Manager at Xyratex, presents ClusterStor at the Vendor Showdown at ISC13 in Leipzig, Germany.
Join HPCwire Editor Nicole Hemsoth and Dr. David Bader from Georgia Tech as they take center stage on opening night at Atlanta's first Big Data Kick Off Week, filmed in front of a live audience. Nicole and David look at the evolution of HPC, today's big data challenges, discuss real world solutions, and reveal their predictions. Exactly what does the future holds for HPC?