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The paper presents the aspect of use of modern graphics acceleratorssupporting CUDA technology for high-performance computing in the field oflinear algebra. Fully programmable graphic cards have been available forseveral years for both ordinary users and research units. They provide thecapability of performing virtually any computing with high performance, whichis often beyond the reach of conventional CPUs. GPU architecture, also in caseof classical problems of linear algebra which is the basis for manycalculations, can bring many benefits to the developer. Performance increase,observed during matrix multiplication on nVidia Tesla C2050, was more thanthousandfold compared to ordinary CPU, resulting in drastic reduction oflatency for some of the results, thus the cost of obtaining them.

Akceleracja obliczen algebry liniowej z wykorzystaniem masywnie rownoleglych, wielordzeniowych procesorow GPU