Approximate computing: A survey of recent trends—bringing greenness to computing and communication
Energy-efficient computing is a much needed technological advantage for future.
Approximate or inexact computing is a computing paradigm that can trade energy and …
Approximate or inexact computing is a computing paradigm that can trade energy and …
RFVP: Rollback-free value prediction with safe-to-approximate loads
A Yazdanbakhsh, G Pekhimenko, B Thwaites… - ACM Transactions on …, 2016 - dl.acm.org
This article aims to tackle two fundamental memory bottlenecks: limited off-chip bandwidth
(bandwidth wall) and long access latency (memory wall). To achieve this goal, our approach …
(bandwidth wall) and long access latency (memory wall). To achieve this goal, our approach …
DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems
The current state-of-the-art approximate adders are mostly ASIC-based, ie, they focus solely
on gate and/or transistor level approximations (eg, through circuit simplification or …
on gate and/or transistor level approximations (eg, through circuit simplification or …
Distance-aware approximate nanophotonic interconnect
The energy consumption of manycore architectures is dominated by data movement, which
calls for energy-efficient and high-bandwidth interconnects. To overcome the bandwidth …
calls for energy-efficient and high-bandwidth interconnects. To overcome the bandwidth …
Circuit aware approximate system design with case studies in image processing and neural networks
This paper aims to exploit approximate computing units in image processing systems and
artificial neural networks. For this purpose, a general design methodology is introduced, and …
artificial neural networks. For this purpose, a general design methodology is introduced, and …
Calculating university education model based on finite element fractional differential equations and macro-control analysis
C Li, N Alhebaishi, REE Omer - Applied Mathematics and Nonlinear …, 2021 - sciendo.com
Firstly, based on the charging theory of 'education cost-sharing,'under appropriate
assumptions, two basic differential equation models are proposed to describe the problem of …
assumptions, two basic differential equation models are proposed to describe the problem of …
Exploiting latency and error tolerance of GPGPU applications for an energy-efficient DRAM
Memory (DRAM) energy consumption is one of the major scalability bottlenecks for almost
all computing systems, including throughput machines such as Graphics Processing Units …
all computing systems, including throughput machines such as Graphics Processing Units …
Address-stride assisted approximate load value prediction in GPUs
Value prediction holds the promise of significantly improving the performance and energy
efficiency. However, if the values are predicted incorrectly, significant performance …
efficiency. However, if the values are predicted incorrectly, significant performance …
Approximate adder tree synthesis for FPGAs
S Boroumand, P Brisk - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Compressor trees can be used as parts of larger arithmetic circuits in application-specific
accelerators. Machine learning and other application domains that are amenable to …
accelerators. Machine learning and other application domains that are amenable to …
[PDF][PDF] An efficient look up table based approximate adder for field programmable gate array
H Ramezani, M Mohammadi… - Indonesian Journal of …, 2022 - academia.edu
The approximate computing is an alternative computing approach which can lead to high-
performance implementation of audio and image processing as well as deep learning …
performance implementation of audio and image processing as well as deep learning …