The use of reduced precision to improve performance metrics such as computation latency
and power consumption is a common practice in the embedded systems field. This practice …

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 …

Digital systems, especially those for mobile applications are sensitive to power consumption,
chip size and costs. Therefore they are realized using fixed-point architectures, either …

Conventional approaches for fixed-point implementation of digital signal processing
algorithms require the scaling and word-length (WL) optimization at the algorithm level and …

This paper presents an automatic tool-chain that efficiently computes the precision of floating
point variables down to the bit level of the mantissa. Our toolchain uses a distributed …

Complex signal processing algorithms are specified in floating point precision. When their
hardware implementation requires fixed point precision, type refinement is needed. The …

A translator which converts C-based floating-point digital signal processing programs to
optimized integer C versions is developed for convenient programming and efficient use of …

Contract-based design is a method to facilitate modular system design. While there has
been substantial progress on the theory of contracts, there has been less progress on …

The reliability of data stored in high-density Flash memory devices tends to decrease rapidly
because of the reduced cell size and multilevel cell technology. Soft-decision error …

One of the most important stages of floating-point to fixed-point conversion, is the evaluation
of the fixed-point specification accuracy. This evaluation is required to optimize the data …