Stencil computations are widely used from physical simulations to machine-learning. They
are embarrassingly parallel and perfectly fit modern hardware such as Graphic Processing …

Selecting an appropriate workgroup size is critical for the performance of OpenCL kernels,
and requires knowledge of the underlying hardware, the data being operated on, and the …

Full waveform inversion (FWI) is a challenging procedure due to the high computational cost
related to the modeling, especially for the elastic case. The graphics processing unit (GPU) …

Stencil computations are a widely used type of algorithm, found in applications from physical
simulations to machine learning. Stencils are embarrassingly parallel, therefore fit on …

High-performance distributed computing systems increasingly feature nodes that have
multiple CPU sockets and multiple GPUs. The communication bandwidth between these …

The development of programs for modern systems with GPUs and other accelerators is a
complex and error-prone task. The popular GPU programming approaches like CUDA and …

Iterative stencil computations are widely used in numerical simulations. They present a high
degree of parallelism, high locality and mostly-coalesced memory access patterns …

The software and hardware landscape of high performance computing is expanding faster
than computational scientists can take advantage of new frameworks and platforms. In an …

The physical limitations of microprocessor design have forced the industry towards
increasingly heterogeneous designs to extract performance. This trend has not been …

Modern programming languages provide programmers with rich abstractions for data
collections as part of their standard libraries, eg, Containers in the C++ STL, the Java …