Mechdyne has launched Connection Portal, a webâ€based interface allowing everyone in an organisation to access computer assets from anywhere within the enterprise
Mechdyne has released Conduit 3.0, an immersive software solution that enables desktop 3D applications to operate on PC clusters, virtual environments, and tiled high resolution displays
Mechdyne has released its new ACE Dual-View product, allowing the production of two distinct user perspectives from a single 3D digital projector
Mechdyne has introduced Cluster Boss, a secure cluster administration tool that provides administrators with single-point control of all nodes of visualisation clusters
Mechdyne's software division has released updates to its Trackd application, an industry standard middleware that enables intuitive interaction in most of the world's advanced 3D immersive environments
Conduit v2.6, from Mechdyne, is the latest version of its real-time graphics distribution software that displays applications in 3D stereo and virtual reality environments
Mechdyne has released the latest version of its professional application programmer interface (API) and library for development of interactive three-dimensional environments.
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
