Computational science is crucial for delivering reliable weather and climate predictions.
However, despite decades of high-performance computing experience, there is serious …

Spatial computing architectures promise a major stride in performance and energy efficiency
over the traditional load/store devices currently employed in large scale computing systems …

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

C/C++/OpenCL-based high-level synthesis (HLS) becomes more and more popular for field-
programmable gate array (FPGA) accelerators in many application domains in recent years …

Python has become the de facto language for scientific computing. Programming in Python
is highly productive, mainly due to its rich science-oriented software ecosystem built around …

The single-source shortest path (SSSP) problem is one of the most important and well-
studied graph problems widely used in many application domains, such as road navigation …

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 …

Rapid progress in deep learning is leading to a diverse set of quickly changing models, with
a dramatically growing demand for compute. However, as frameworks specialize …

With the rise of specialized hardware and new programming languages, code optimization
has shifted its focus towards promoting data locality. Most production-grade compilers adopt …