A Framework for Lattice QCD Calculations on GPUs

Understand

Computing platforms equipped with accelerators like GPUs have proven to provide great computational power.

• However, exploiting such platforms for existing scientific applications is not a trivial task.
• Current GPU programming frameworks such as CUDA C/C++ require low-level programming from the developer in order to achieve high performance code.
• As a result porting of applications to GPUs is typically limited to time-dominant algorithms and routines, leaving the remainder not accelerated which can open a serious Amdahl's law issue.