Allinea Software Announces DDTLite for the Windows Platform
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New plug-in provides parallel debugging capabilities within Microsoft Visual Studio and Windows Compute Cluster Server 2003: With the growing adoption of Microsoft Windows Compute Cluster Server 2003 for high-performance computing (HPC) applications, Allinea Software today announced a collaboration with Microsoft that will result in advanced parallel debugging features within Microsoft Visual Studio 2005.
Along with its Optimization and Debugging Tool (OPT), Allinea’s Distributed Debugging Tool (DDT) is widely used throughout the HPC community for developing large-scale MPI, OpenMP and multi-threaded software on most Linux and Unix platforms. Its new product, Allinea DDTLite for Visual Studio, will offer many of DDT’s powerful debugging capabilities to Microsoft Compute Cluster Server 2003 customers within the Visual Studio IDE. Wolfgang Dreyer, HPC product and solutions manager of Microsoft Germany, stated, “We are pleased to see Allinea’s debugging technology for Windows Compute Cluster Server and the Windows platform. Allinea DDTLite for Visual Studio offers customers enhancements for multiple process applications that are fully integrated within the Microsoft Visual Studio development environment.” Michael Rudgyard, CEO of Allinea Software commented, “We are extremely happy to offer DDT’s core capabilities on Microsoft Windows Compute Cluster Server. While DDTLite for Visual Studio was originally conceived for developers of HPC applications, we are also prototyping features that will appeal to developers of multi-threaded desktop or enterprise-class applications. Indeed, with the migration from scalar processing to multi-core and many-core processing, the scalable technology that we are building into DDT and OPT is increasingly relevant to mainstream software development. The decision to offer DDT’s functionality within Microsoft Visual Studio is a key step towards enabling this technology transfer.” Allinea Software will be exhibiting at International Supercomputing 2007 in Dresden from June 26-28, 2007, and at Supercomputing 2007 (SC07) in Nevada, USA from November 10-16, 2007.