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 …

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 …

Benefiting from the fine-grained parallelism and energy efficiency, heterogeneous
computing platforms featuring FP-GAs are becoming more and more common in data …

The energy and latency demands of critical workload execution, such as object detection, in
embedded systems vary based on the physical system state and other external factors …

Sparse Matrix Dense Matrix Multiplication (SpMM) is an important kernel with application
across a wide range of domains, including machine learning and linear algebra solvers. In …

FPGA vendors provide OpenCL software development kits for easier programmability, with
the goal of replacing the time-consuming and error-prone register-transfer level (RTL) …

Deep neural networks (DNNs) have been widely adopted in many domains, including
computer vision, natural language processing, and medical care. Recent research reveals …

Cloud Warehouses have been exploiting CPU-FPGA environments to accelerate multi-
tenant applications to achieve scalability and maximize resource utilization. In this scenario …

FPGAs have been widely deployed in public clouds, eg, Amazon Web Services (AWS) and
Huawei Cloud. However, simply offloading accelerated kernels from CPU hosts to PCIe …