High-Performance Computing

FastDL v2.4

Tech-X has released FastDL v2.4, a software framework that enables parallel computations with IDL from ITT Visual Information Solutions. The new release improves both the performance and robustness of FastDL.

Star-P Version 2.6

Interactive Supercomputing is to release Version 2.6 of Star-P at SC07. The software is compatible with Windows Vista, and includes hundreds of new mathematical functions with parallel file I/O.

gridMathematica 2.2

Wolfram Research has released gridMathematica 2.2, to extend the benefits of version 6 of Mathematica for computing clusters and grids.

Unicore 6

Unicore 6 is a software stack with extensible service-oriented architecture for grid computing. It provides seamless and secure access to resources, with simple deployment and straightforward support for adding new applications.


The CodeQuest biocomputing workstation from TimeLogic makes use of field programmable gate array (FPGA) technology to provide high-performance computing for 454 data analysis, oligo mapping and comparative metagenomics.

Quadro Plex Model S4

NVidia has introduced the new Quadro Plex Visual Computing System Model S4, a graphics server featuring more graphics processing units (GPUs) in a standard 1U server form factor.

Cuda 1.0

NVidia has released a plug-in example that allows Matlab programs to use standard graphics processing unit (GPU) libraries to speed up their applications.

Parallel Computing Toolkit 2.1

Following strong demand from the high-performance-computing community for Mathematica 6, Wolfram Research has launched Parallel Computing Toolkit 2.1 - a parallel solution for anyone with access to Mathematica and more than one processor.

Star-P 2.5 for Life Sciences

Interactive Supercomputing has unveiled a new version of its Star-P software designed to accelerate time-to-discovery and boost productivity for users in the life sciences industries.

Star-P 2.5 for Python

Interactive Supercomputing has released an updated version of Star-P software, designed for users of Python. The new version offers huge productivity gains for Python users who need to solve computationally intensive problems.


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