In this community review report, we discuss applications and techniques for fast machine
learning (ML) in science—the concept of integrating powerful ML methods into the real-time …

FPGA-based accelerators are increasingly popular across a broad range of applications,
because they offer massive parallelism, high energy efficiency, and great flexibility for …

Hybrid computing platforms, comprising CPU cores and FPGA logic, are increasingly used
for accelerating data-intensive workloads in cloud deployments, and are a growing topic of …

With the recent release of High Bandwidth Memory (HBM) based FPGA boards, developers
can now exploit unprecedented external memory bandwidth. This allows more memory …

FPGAs are starting to be enhanced with High Bandwidth Memory (HBM) as a way to reduce
the memory bandwidth bottleneck encountered in some applications and to give the FPGA …

Responding to the" datacenter tax" and" killer microseconds" problems for memory-intensive
datacenter applications, diverse solutions including Smart NIC-based ones have been …

Given the need for efficient high-performance computing, computer architectures combining
central processing units (CPUs), graphics processing units (GPUs), and field-programmable …

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

Reconfigurable computing is an expanding field that, during the last decades, has evolved
from a relatively closed community, where hard skilled developers deployed high …

With the public availability of FPGAs from major cloud service providers like AWS, Alibaba,
and Nimbix, hardware and software developers can now easily access FPGA platforms …