Modern data-intensive applications demand high computational capabilities with strict
power constraints. Unfortunately, such applications suffer from a significant waste of both …

Ongoing climate change calls for fast and accurate weather and climate modeling. However,
when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU …

Stencil computations are commonly used in a wide variety of scientific applications, ranging
from large-scale weather prediction to solving partial differential equations. Stencil …

Spatial computing devices have been shown to significantly accelerate stencil computations,
but have so far relied on unrolling the iterative dimension of a single stencil operation to …

Fast and accurate climate simulations and weather predictions are critical for understanding
and preparing for the impact of climate change. Real-world climate and weather simulations …

Ongoing climate change calls for fast and accurate weather and climate modeling. However,
when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU …

Today's data-intensive applications increasingly suffer from significant performance
bottlenecks due to the limited memory bandwidth of the classical von Neumann architecture …

Machine learning has recently gained traction as a way to overcome the slow accelerator
generation and implementation process on an FPGA. It can be used to build performance …

The cost of moving data between the memory units and the compute units is a major
contributor to the execution time and energy consumption of modern workloads in …

Ongoing climate change calls for fast and accurate weather and climate modeling. However,
when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU …