Field Programmable Gate Arrays (FPGAs) are spatial architectures with a heterogeneous
reconfigurable fabric. They are state-of-the-art for prototyping, telecommunications …

The big data revolution has ushered an era with ever increasing volumes and complexity of
data requiring ever faster computational analysis. During this very same era, CPU …

Designing efficient, application-specialized hardware accelerators requires assessing trade-
offs between a hardware module's performance and resource requirements. To facilitate …

Specialized hardware accelerators continue to be a source of performance improvement.
However, such specialization comes at a programming price. The fundamental issue is that …

Field programmable gate arrays (FPGAs) excel in low power and high throughput
computations, but they are challenging to program. Traditionally, developers rely on …

Traditional High-Level Synthesis (HLS) provides rapid prototyping of hardware accelerators
without coding with Hardware Description Languages (HDLs). However, such an approach …

Functional programming's benefits for hardware description have long been recognized in
the literature. In particular, functional hardware description languages provide combinators …

FPGAs have found their way into data centers as accelerator cards, making reconfigurable
computing more accessible for high-performance applications. At the same time, new high …

FPGAs (Field Programmable Gate Arrays) have become the substrate of choice to
implement accelerators. They deliver high performance with low power consumption, while …

Modular design is critical in reducing hardware designer's cognitive load and development
cost. However, it is challenging to modularize high-performance pipelined circuits with …