[HTML][HTML] Energy digital twin technology for industrial energy management: Classification, challenges and future
Digitalisation of the process and energy industries through energy digital twin technology
promises step-improvements in energy management and optimisation, better servicing and …
promises step-improvements in energy management and optimisation, better servicing and …
[HTML][HTML] Modern computing: Vision and challenges
Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …
transformations, profoundly impacting society with transformational developments, such as …
FPGA architecture: Principles and progression
Since their inception more than thirty years ago, field-programmable gate arrays (FPGAs)
have been widely used to implement a myriad of applications from different domains. As a …
have been widely used to implement a myriad of applications from different domains. As a …
Programming and synthesis for software-defined FPGA acceleration: status and future prospects
FPGA-based accelerators are increasingly popular across a broad range of applications,
because they offer massive parallelism, high energy efficiency, and great flexibility for …
because they offer massive parallelism, high energy efficiency, and great flexibility for …
Exploring eFPGA-based redaction for IP protection
Recently, eFPGA-based redaction has been proposed as a promising solution for hiding
parts of a digital design from untrusted entities, where legitimate end-users can restore …
parts of a digital design from untrusted entities, where legitimate end-users can restore …
RLPlace: Using reinforcement learning and smart perturbations to optimize FPGA placement
Simulated annealing (SA) is one of the most common FPGA placement techniques, and is
used both as a standalone algorithm and to improve an initial analytical placement. While …
used both as a standalone algorithm and to improve an initial analytical placement. While …
Koios: A deep learning benchmark suite for FPGA architecture and CAD research
With the prevalence of deep learning (DL) in many applications, researchers are
investigating different ways of optimizing FPGA architecture and CAD to achieve better …
investigating different ways of optimizing FPGA architecture and CAD to achieve better …
SymbiFlow and VPR: An open-source design flow for commercial and novel FPGAs
As the benefits of Moore's Law diminish, computing performance, and efficiency gains are
increasingly achieved through specializing hardware to a domain of computation. However …
increasingly achieved through specializing hardware to a domain of computation. However …
AIR: A fast but lazy timing-driven FPGA router
Routing is a key step in the FPGA design process, which significantly impacts design
implementation quality. Routing is also very time-consuming, and can scale poorly to very …
implementation quality. Routing is also very time-consuming, and can scale poorly to very …
Overview of prospects for service-aware radio access towards 6G networks
The integration of space–air–ground–sea networking in 6G, which is expected to not only
achieve seamless coverage but also offer service-aware access and transmission, has …
achieve seamless coverage but also offer service-aware access and transmission, has …