Reconfigurable computing platforms offer the promise of substantially accelerating
computations through the concurrent nature of hardware structures and the ability of these …

Heterogeneous reconfigurable systems provide drastically higher performance and lower
power consumption than traditional CPU-centric systems. Moreover, they do it at much lower …

The speedup over a microprocessor that can be achieved by implementing some programs
on an FPGA has been extensively reported. This paper presents an analysis, both …

This paper presents an approach to the wordlength allocation and optimization problem for
linear digital signal processing systems implemented as custom parallel processing units …

This paper describes CHiMPS, a C-based accelerator compiler for hybrid CPU-FPGA
computing platforms. CHiMPS's goal is to facilitate FPGA programming for high-performance …

The current practice of mapping computations to custom hardware implementations requires
programmers to assume the role of hardware designers. In tuning the performance of their …

The integration of FPGA-based accelerators into a complete heterogeneous system is a
challenging task faced by many researchers and engineers, especially now that FPGAs …

We develop new algorithms and architectures for matrix multiplication on configurable
devices. These have reduced energy dissipation and latency compared with the state-of-the …

FPGAs, as computing devices, offer significant speedup over microprocessors. Furthermore,
their configurability offers an advantage over traditional ASICs. However, they do not yet …

Balancing computation with I/O has been considered as a critical factor of the overall
performance for embedded systems in general and reconfigurable computing systems in …