Evolutionary algorithms and genetic programming on graphic processing units (GPU)

We present a CPU-GPU system for runtime acceleration of large molecular simulations using GPU computation and memory swaps. The memory architecture of the GPU can be used both as container for simulation data stored on the graphics card and as floating-...

Graphics Processing Units (GPUs) have become a major source of computational power for numerical applications. Originally designed for application of time-consuming graphics operations, GPUs are stream processors that implement the SIMD paradigm. Modern ...

With fast development of GPU hardware and software, using GPUs to accelerate non-graphics CPU applications is becoming inevitable trend. GPUs are good at performing ALU-intensive computation and feature high peak performance; however, how to harness ...