Approximate Arithmetic Circuit Design for Error Resilient Applications

Error resilient arithmetic coding of still images

This paper examines the use of arithmetic coding in conjunction with the error resilient entropy code (EREC). The constraints on the coding model are discussed and simulation results are presented and compared to those obtained using Huffman coding. These results show that without the EREC, arithmetic coding is less resilient than Huffman coding, while with the EREC both systems yield comparabl...

Design of Approximate Multiplier for Error-Tolerant Applications

CMOS scaling has reached to the level, where process variation has become significant problem hindering further scaling. Various approaches to mitigate process variation effect try to nullify at the cost of increased area/power consumption. There are some applications which accept small errors such as multimedia processing. Designing accurate circuit for these applications is waste of area/powe...

Approximate computing for energy-efficient error-resilient multimedia systems

The rapid advancement in scaled silicon technology has resulted in the influx of numerous consumer devices with a plethora of applications. Multimedia applications which use image and video processing, pattern or facial recognition, data mining and synthesis have seen a significant increase in user base. These applications not only demand complex signal processing of digital data to achieve qua...

Towards Building Error Resilient GPGPU Applications

GPUs (Graphics Processing Units) have gained wide adoption as accelerators for general purpose computing. They are widely used in error-sensitive applications, i.e. General Purpose GPU (GPGPU) applications However, the reliability implications of using GPUs are unclear. This paper presents a fault injection study to investigate the end-to-end reliability characteristics of GPGPU applications. T...

Design of Energy - Efficient Approximate Arithmetic Circuits