Sparse Matrix-Vector multiplication (SpMV) is an essential computational kernel in many
application scenarios. Tens of sparse matrix formats and implementations have been …

To achieve efficient resource management on a graphics processing unit (GPU), there is a
demand to develop a framework for scheduling virtualized resources in cloud gaming. In this …

Heterogeneous multi-and many-core systems are increasingly prevalent in the desktop and
mobile domains. On these systems it is common for programs to compete with co-running …

Public cloud infrastructures allow for easy, on-demand access to FPGA resources. However,
the low-level, direct access to the FPGA hardware exposes the infrastructure providers to …

Summary The use of Graphics Processing Units (GPUs) for high‐performance computing
has gained growing momentum in recent years. Unfortunately, GPU‐programming platforms …

Simulation of in vivo cellular processes with the reaction–diffusion master equation (RDME)
is a computationally expensive task. Our previous software enabled simulation of …

While heterogeneous architectures are increasing popular with High Performance
Computing systems, their effectiveness depends on how efficient the scheduler is at …

MeteoSwiss, the Swiss national weather forecast institute, has selected densely populated
accelerator servers as their primary system to compute weather forecast simulation. Servers …

We present a new compiler framework for truly heterogeneous 3D stencil computation on
GPU clusters. Our framework consists of a simple directive-based programming model and a …

As architectures evolve, optimization techniques to obtain good performance evolve as well.
Using low-level programming languages like C/C++ typically results in architecture-specific …