Efficient Kernel Management on GPUs

Graphics Processing Units (GPUs) have been widely adopted as accelerators for compute-intensive applications due to its tremendous computational power and high memory bandwidth. As the complexity of applications continues to grow, each new generation of GPUs has been equipped with advanced architectural features and more resources to sustain its performance acceleration capability. Recent GPUs have been featured with concurrent kernel execution,...