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Contents March 2009
OptimaNumerics and Clustertech sign Reselling Agreement
London 09 February 2009 OptimaNumerics Ltd, a provider of high performance numerical software, has signed a Reselling Agreement with Cluster Technology Limited (Clustertech). Cluster Technology Limited specializes in Grid and high performance computing (HPC) technologies.
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Clustertech helps its clients enhance their competitive edge over their peers via sophisticated computer technologies. Clustertech offers a wide spectrum of solutions in Financial Engineering, Business Intelligence and Scientific Research to accelerate and improve time-critical and mission-critical applications. Clustertech's professional services enable clients to fully utilize the latest computing technologies, maximizing returns on their investments.

Dr. Kenneth Tan, CEO of OptimaNumerics, stated: "OptimaNumerics is delighted to have Clustertech as our reseller. Clustertech's concentration in high performance computing to accelerate and improve end users' time-critical and mission-critical applications complements well with OptimaNumerics' products. This partnership is key in our Asia Pacific strategy."

"I am pleased to announce our reselling agreement with OptimaNumerics. It is a great addition to our portfolio of high performance computing products. OptimaNumerics Libraries offer great productivity gain and cost reduction in complex linear algebra operations and simulations", stated Francis Ng, Senior Business Development Manager of Clustertech.

OptimaNumerics Libraries, with linear algebra, parallel linear algebra and parallel random number generators modules, provide high performance versions of LAPACK, ScaLAPACK, PETSc, SuperLU, PLFG and SPRNG libraries.

OptimaNumerics' innovative technologies have consistently delivered superior performance and portability across a wide range of platforms including: AMD Opteron, Intel Xeon, NVIDIA Tesla, Intel Itanium 2 and SPARC processor families, plus platforms from other vendors, running Linux, Solaris 10 and Microsoft Windows CCS.
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Source: OpticaNumerics

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