Energy-aware hybrid precision selection framework for mobile GPUs

Hsiao, Chih-Chieh; Chu, Slo‐Li; Chen, Chen-Yu

doi:10.1016/j.cag.2013.03.003

Cited by 25 publications

(7 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A quality-programmable extended instruction set architecture (ISA) has been proposed as processor [8]. A floating-point unit (with reduced precision), or fixed-point unit, can be chosen carefully by a graphics processing unit (GPU) architecture to save power [9]. The branch divergence in single instruction multiple data (SIMD) architectures can be limited, or avoided, by introducing approximation at the cost of a small quality loss [10]; an approximation can be used to estimate the load values in a cache and avoid a miss latency.…”

Section: A Approximate Hardwarementioning

confidence: 99%

A Retrospective and Prospective View of Approximate Computing [Point of View}

2020

View full text Add to dashboard Cite

C omputing systems are conventionally designed to operate as accurately as possible. However, this trend faces severe technology challenges, such as power consumption, circuit reliability, and high performance. For nearly half a century, performance and power consumption of computing systems have been consistently improved by relying mostly on technology scaling. As per Dennard's scaling, the size of a transistor has been considerably shrunk and the supply voltage has been reduced over the years, such that circuits operate at higher frequencies but nearly at the same power dissipation level. However, as Dennard's scaling tends toward an end, it is difficult to further improve performance under the same

show abstract

Section: A Approximate Hardwarementioning

confidence: 99%

A Retrospective and Prospective View of Approximate Computing [Point of View}

2020

View full text Add to dashboard Cite

show abstract

“…Reducing memory usage also reduces energy consumption at the cost of accuracy (i.e., less data have to be transferred from/to the memory). In [13], the authors show that reducing floating point precision on mobile GPUs can bring energy consumption reduction with image quality degradation. This degradation, however, can be acceptable and even imperceptible for the human eye.…”

Section: Contextmentioning

confidence: 99%

Investigating the Impact of Radiation-Induced Soft Errors on the Reliability of Approximate Computing Systems

Luza

Söderström

Tsiligiannis

et al. 2020

2020 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)

View full text Add to dashboard Cite

show abstract

“…Reducing memory usage also reduces energy consumption at the cost of accuracy (i.e., less data have to be transferred from/to the memory). In [23], the authors show that reducing floating point precision on mobile GPUs can bring energy consumption reduction with image quality degradation. This degradation, however, can be acceptable and even unperceivable for the human eye.…”

Section: Approximatementioning

confidence: 99%

Survey on Approximate Computing and Its Intrinsic Fault Tolerance

2020

View full text Add to dashboard Cite

This work is a survey on approximate computing and its impact on fault tolerance, especially for safety-critical applications. It presents a multitude of approximation methodologies, which are typically applied at software, architecture, and circuit level. Those methodologies are discussed and compared on all their possible levels of implementations (some techniques are applied at more than one level). Approximation is also presented as a means to provide fault tolerance and high reliability: Traditional error masking techniques, such as triple modular redundancy, can be approximated and thus have their implementation and execution time costs reduced compared to the state of the art.

show abstract

Energy-aware hybrid precision selection framework for mobile GPUs

Cited by 25 publications

References 18 publications

A Retrospective and Prospective View of Approximate Computing [Point of View}

A Retrospective and Prospective View of Approximate Computing [Point of View}

Investigating the Impact of Radiation-Induced Soft Errors on the Reliability of Approximate Computing Systems

Survey on Approximate Computing and Its Intrinsic Fault Tolerance

Contact Info

Product

Resources

About