In this article, we survey existing academic and commercial efforts to provide Field-
Programmable Gate Array (FPGA) acceleration in datacenters and the cloud. The goal is a …

FPGA accelerators are being applied in various types of systems ranging from embedded
systems to cloud computing for their high performance and energy efficiency. Given the …

We present our work on hardware accelerated genomics pipelines, using either FPGAs or
GPUs to accelerate execution of BWA-MEM, a widely-used algorithm for genomic short read …

With reduced data reuse and parallelism, recent convolutional neural networks (CNNs)
create new challenges for FPGA acceleration. Systolic arrays (SAs) are efficient, scalable …

Motivation High throughput DNA sequencing (HTS) technologies generate an excessive
number of small DNA segments-called short reads-that cause significant computational …

Abstract Motivation We introduce SneakySnake, a highly parallel and highly accurate pre-
alignment filter that remarkably reduces the need for computationally costly sequence …

With the explosive increase of big data in industry and academic fields, it is important to
apply large-scale data processing systems to analyze Big Data. Arguably, Spark is the state …

With the end of CPU core scaling due to dark silicon limitations, customized accelerators on
FPGAs have gained increased attention in modern datacenters due to their lower power …