Allinea Software has released version 5.1 of its development tool suite and performance analysis tools, with a focus on improving the energy efficiency of application software
Allinea Software has announced it is providing access to its software development tools to organisations that have been awarded Intel Parallel Computing Center status as part of the Intel sponsored code-modernisation initiatives
Allinea Software has announced that its debugging tools are now available on both the CUDA 6 platform and GE Intelligent Platforms systems
Announcement of support for latest generation of Nvidia products
Parallel debugging tool, Allinea DDT for Intel Xeon Phi coprocessors, is available for download now
Allinea Software has launched a new performance analysis tool, Allinea MAP
Allinea Software has announced the release of its high-performance scalable parallel debugger, Allinea DDT, for IBM BlueGene/Q systems
Version 3.1 of Allinea DDT has been released with a set of novel features designed to both simplify and enable debugging of parallel and multithreaded applications
Allinea Software has released a debugger for parallel computing on systems with hundreds of thousands of processor cores that deliver Pflops performance
Allinea Software has announced the availability of Allinea DDT 2.6.1, which supports versions 3.1 and 3.2 of the Nvidia Cuda Toolkit and has been beta tested for some time
As not only the HPC industry but the larger computing ecosystem tries to overcome the slowdown and eventual end of transistor scaling described by Moore’s Law, scientists and researchers are implementing programmes that will define the technologies and new materials needed to supplement, or repla
Architectural specialisation is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law.
As the complexity of both HPC hardware and the challenges that scientists are trying to solve using HPC systems increases, ensuring a system is utilised efficiently is necessary to deliver a computing service with value for money and a high research output.
With data rates increasing and more complex challenges arising in life sciences, Panasas’ Jim Donovan and Dale Brantly discuss the benefits of using HPC for these workloads
