NVIDIA has announced the CUDA Superhero Challenge, a series of contests for computer programmers who will harness the parallel processing power of the NVIDIA CUDA architecture to solve computing challenges.
The first contest, which is open to all eligible developers, begins September 14 and will conclude September 25. $5,000 of prizes will be awarded to five contest winners.
"PC architecture has evolved from central processing on just the CPU to co-processing on the CPU and the GPU," said Sanford Russell, general manager of the CUDA group at NVIDIA. "By tapping into the TopCoder community, we can educate over 200,000 programmers on the advantages parallel programming offers and fan the flames of the GPU Computing revolution."
GPU Computing is the use of the massively parallel architecture of the graphics processing unit (GPU) as a computational engine using high-level languages and APIs, such as C and Fortran, or programming interfaces, such as DirectCompute and OpenCL. The model for GPU Computing is to use a CPU and GPU together in a co-processing computing model.
