Rendering 3D Graphics on a 32×32 RGB LED Matrix Display with a Raspberry Pi and GeeXLab
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Dramatically simplify parallel programming with CUDA 6.0 .Unified Memory Simplifies programming by enabling applications to access CPU and GPU memory without the need to manually copy data. Read more about unified memory.Drop-in Libraries Automatically accelerate applications’ BLAS and FFTW calculations by up to 8X by simply replacing the existing CPU libraries with the GPU-accelerated equivalents.Multi-GPU scaling cublasXT - a new BLAS GPU library that automatically scales performance across up to eight GPUs in a single node, delivering over nine teraflops of double precision performance per node, and supporting larger workloads than ever before (up to 512GB). The re-designed FFT GPU library scales up to 2 GPUs in a single node, allowing larger transform sizes and higher throughput.