Heterogeneous many-cores are now an integral part of modern computing systems ranging
from embedding systems to supercomputers. While heterogeneous many-core design offers …

AutoDock4 is a widely used program for docking small molecules to macromolecular targets.
It describes ligand–receptor interactions using a physics-inspired scoring function that has …

Many scientific codes consist of memory bandwidth bound kernels. One major advantage of
many-core devices such as general purpose graphics processing units (GPGPUs) and the …

Graphics Processing Units have emerged as powerful accelerators for massively parallel,
numerically intensive workloads. The two dominant software models for these devices are …

While parallelism remains the main source of performance, architectural implementations
and programming models change with each new hardware generation, often leading to …

Customized processors are an interesting option for implementing software defined radios;
they bring benefits of tailored fixed function hardware while adding new advantages such as …

Future HPC leadership computing systems for the United States Department of Energy will
utilize GPUs for acceleration of scientific codes. These systems will utilize GPUs from …

Dynamic parallelism on GPUs simplifies the programming of many classes of applications
that generate paral-lelizable work not known prior to execution. However, modern GPUs …

As the hardware industry moves toward using specialized heterogeneous many-core
processors to avoid the effects of the power wall, software developers are finding it hard to …

As CUDA becomes the de facto programming language among data parallel applications
such as high-performance computing or machine learning applications, running CUDA on …