We offer our clients a customization option, using computing in GPGPU from BLAS library to make your routines faster.
Our library is highly compatible with BLAS standard and offers users a complete interface of functions. Also, our solution operates with multi-thread conventional implementations of the library, making it run fast, regardless of the size of the entry instance.
Areas of application:
Engineering |
Computational modelling |
Performance comparison:
In our tests, we use a NVidia 8800GS graphics card, which costs less then US$100,00. For information on the gains obtained using our solution, see following the figure.
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SGEMM represents the general multiplication of matrixes (General Matrix Multiply), CGEMM runs the same operation for complex numbers. SYR2K represents the symmetric rank‐2k update. |
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