Focus on hardware-level approximation by introducing the partial product perforation technique for designing approximate multiplication circuits. The partial product perforation method for creating approximate multipliers. It omit the generation of some partial products, thus reducing the number of partial products that have to be accumulated; we decrease the area, power. The major contributions of this work, the software-based perforation technique on the design of hardware circuits, obtaining the optimized design solutions regarding the power–area–error tradeoffs. Analyze in a mathematically rigorous manner the arithmetic accuracy of partial product perforation and prove that it delivers a bounded and predictable output error. Error anal...
Approximate computing is a popular field where accuracy is traded with energy. It can benefit applic...
An application that can produce a useful result despite some level of computational error is said to...
Abstract—Inexact (or approximate) computing is an attractive paradigm for digital processing at nano...
Focus on hardware-level approximation by introducing the partial product perforation technique for d...
Approximate computing has received significant at- tention as a promising strategy to decrease power...
Approximate computing forms a promising design alternative for inherently error resilient applicatio...
Abstract — Approximate circuit design is an innovative paradigm for error-resilient image and signal...
Abstract — Approximate computing is best suited for error resilient applications, such as signal pro...
Approximate computing is an attractive technique to gain substantial improvement in the area, speed,...
CMOS scaling has reached to the level, where process variation has become significant problem hinder...
Approximate multiplication is a common operation used in approximate computing methods for high perf...
In the last decade, the need for efficiency in computing has motivated the coming forth of new devic...
A multiplier is one of the key hardware components in most digital systems, such as microprocessors,...
Multiplications occur frequently in digital signal processing systems, communication systems, and ot...
Power consumption is an important constraint in multimedia and deep learning applications. Approxima...
Approximate computing is a popular field where accuracy is traded with energy. It can benefit applic...
An application that can produce a useful result despite some level of computational error is said to...
Abstract—Inexact (or approximate) computing is an attractive paradigm for digital processing at nano...
Focus on hardware-level approximation by introducing the partial product perforation technique for d...
Approximate computing has received significant at- tention as a promising strategy to decrease power...
Approximate computing forms a promising design alternative for inherently error resilient applicatio...
Abstract — Approximate circuit design is an innovative paradigm for error-resilient image and signal...
Abstract — Approximate computing is best suited for error resilient applications, such as signal pro...
Approximate computing is an attractive technique to gain substantial improvement in the area, speed,...
CMOS scaling has reached to the level, where process variation has become significant problem hinder...
Approximate multiplication is a common operation used in approximate computing methods for high perf...
In the last decade, the need for efficiency in computing has motivated the coming forth of new devic...
A multiplier is one of the key hardware components in most digital systems, such as microprocessors,...
Multiplications occur frequently in digital signal processing systems, communication systems, and ot...
Power consumption is an important constraint in multimedia and deep learning applications. Approxima...
Approximate computing is a popular field where accuracy is traded with energy. It can benefit applic...
An application that can produce a useful result despite some level of computational error is said to...
Abstract—Inexact (or approximate) computing is an attractive paradigm for digital processing at nano...