Reconfigurable architectures can bring unique capabilities to computational tasks. They
offer the performance and energy efficiency of hardware with the flexibility of software. In …

FPGA application size is rapidly growing by reuse and replication. Achieved quality of
results (QoR) of these large designs is often much lower than what could be realized with …

FPGAs require a much longer compilation cycle than conventional computing platforms like
CPUs. In this paper, we shorten the overall compilation time by co-optimizing the HLS …

Creating CAD tools for commercial FPGAs is a difficult task. Closed proprietary device
databases and unsupported interfaces are largely to blame for the lack of CAD research …

NeuroFlow is a scalable spiking neural network simulation platform for off-the-shelf high
performance computing systems using customizable hardware processors such as Field …

Field-Programmable Gate Arrays (FPGAs) are integrated circuits that implement
reconfigurable hardware. They are used in modern systems, creating specialized, highly …

Dirk Koch · Frank Hannig Daniel Ziener Editors Page 1 Dirk Koch · Frank Hannig Daniel Ziener
Editors FPGAs for Software Programmers Page 2 FPGAs for Software Programmers Page 3 …

We present HeAP, an analytical placement algorithm for heterogeneous FPGAs comprised
of LUT-based logic blocks, multiplier/DSP blocks and block RAMs. Specifically, we adapt a …

Over the past decade, soft microprocessors and vector processors have been extensively
used in FPGAs for a wide variety of applications. However, it is difficult to straightforwardly …

In complex FPGA designs, implementations of algorithms and protocols from third-party
sources are common. However, the monolithic nature of FPGAs means that all sub-circuits …