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Computing approximate PSD factorizations [PDF]
We give an algorithm for computing approximate PSD factorizations of nonnegative matrices. The running time of the algorithm is polynomial in the dimensions of the input matrix, but exponential in the PSD rank and the approximation error.
Basu, Amitabh, Dinitz, Michael, Li, Xin
core +7 more sources
Design of high-performance, accurate, and approximate Dadda-tree multipliers for image processing applications [PDF]
Approximate computing comes to the fore as an alternative paradigm to enhance efficiency in computing systems by trading off the system’s accuracy for better performance.
Aqib Amin Rather +3 more
doaj +2 more sources
Approximate computing, intelligent computing [PDF]
Approximate computing could be considered intelligent computing, because it uses energy resources to perform exact computation only when needed and approximate whenever possible.
Eeckhout, Lieven
core +2 more sources
SOT-MRAM-based true in-memory computing architecture for approximate multiplication
The in-memory computing (IMC) paradigm emerges as an effective solution to break the bottlenecks of conventional von Neumann architecture. In the current work, an approximate multiplier in spin-orbit torque magnetoresistive random access memory (SOT-MRAM)
Min Song +6 more
doaj +2 more sources
Optimized NCFET-based approximate multiplier for energy-aware image applications [PDF]
Applications for multimedia at high speeds has driven the need for error-resilient circuits that trade-off with accuracy while enhancing performance.
Mamidipaka B. R. Srinivas +1 more
doaj +2 more sources
Approximate computing is a promising approach to the design of area–power-performance-efficient circuits for computation error-tolerant applications such as image processing and machine learning.
Koyu Ohata +3 more
doaj +1 more source
Defensive approximation: securing CNNs using approximate computing [PDF]
ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2021)
Guesmi, Amira +6 more
openaire +3 more sources
Hierarchical Approximate Bayesian Computation [PDF]
Approximate Bayesian computation (ABC) is a powerful technique for estimating the posterior distribution of a model’s parameters. It is especially important when the model to be fit has no explicit likelihood function, which happens for computational (or simulation-based) models such as those that are popular in cognitive neuroscience and other areas ...
Turner, Brandon M., Van Zandt, Trisha
openaire +3 more sources
As one of the most promising energy-efficient emerging paradigms for designing digital systems, approximate computing has attracted a significant attention in recent years.
Pengfei Huang +4 more
doaj +1 more source
Design and analysis of hardware Trojans in approximate circuits
Approximate computing can accept errors in computation systems to achieve better utilisation of hardware resources. Approximate computing has been successfully developed in integrated circuits, such as approximate arithemtic circuits and approximate ...
Yuqin Dou +4 more
doaj +1 more source

