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

Reconfigurable Computing marks a revolutionary and hot topic that bridges the gap
between the separate worlds of hardware and software design—the key feature of …

Steady advances in VLSI technology and design tools have extensively expanded the
application domain of digital signal processing over the past decade. While application …

Moore's Law states that the number of transistors on a device doubles every two years;
however, it is often (mis) quoted based on its impact on CPU performance. This important …

Summary form only given. FPGAs are increasingly being used in the high performance and
scientific computing community to implement floating-point based hardware accelerators …

An internal bus system for DFPs and units with two-or multi-dimensional programmable cell
architectures, for managing large Volumes of data with a high interconnection complexity …

The square root operation is hard to implement on FPGAs because of the complexity of the
algorithms. In this paper, we present a non-restoring square root algorithm and two very …

Floating point operations are hard to implement on FPGAs because of the complexity of their
algorithms. On the other hand, many scientific problems require floating point arithmetic with …

Field programmable gate arrays (FPGAs) have long been an attractive alternative to
microprocessors for computing tasks-as long as floating-point arithmetic is not required …

In this paper we describe an efficient implementation of an IEEE 754 single precision
floating point multiplier targeted for Xilinx Virtex-5 FPGA. VHDL is used to implement a …