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08/03/2023
The Data Movement Bottleneck: Theoretical Shortcomings of Analog Optical Fourier Transform and Convolution Computing Accelerators
Modern computing tasks are constrained to having digital electronic inpu...
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08/23/2021
Machine Learning for Sensor Transducer Conversion Routines
Sensors with digital outputs require software conversion routines to tra...
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09/16/2020
Probabilistic Value-Deviation-Bounded Source-Dependent Bit-Level Channel Adaptation for Approximate Communication
Computing systems that can tolerate effects of errors in their communica...
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07/01/2020
Content-Aware Automated Parameter Tuning for Approximate Color Transforms
There are numerous approximate color transforms reported in the literatu...
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07/01/2020
Inferring Human Observer Spectral Sensitivities from Video Game Data
With the use of primaries which have increasingly narrow bandwidths in m...
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04/28/2020
A System for Generating Non-Uniform Random Variates using Graphene Field-Effect Transistors
We introduce a new method for hardware non-uniform random number generat...
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02/04/2020
Synthesizing Compact Hardware for Accelerating Inference from Physical Signals in Sensors
We present dimensional circuit synthesis, a new method for generating di...
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01/10/2020
Efficient Programmable Random Variate Generation Accelerator from Sensor Noise
We introduce a method for non-uniform random number generation based on ...
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11/12/2018
Newton: A Language for Describing Physics
This article introduces Newton, a specification language for notating th...
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09/16/2018
Exploiting Errors for Efficiency: A Survey from Circuits to Algorithms
When a computational task tolerates a relaxation of its specification or...
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04/06/2018
A Hardware Platform for Efficient Multi-Modal Sensing with Adaptive Approximation
We present Warp, a hardware platform to support research in approximate ...
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04/06/2018
Probabilistic Value-Deviation-Bounded Integer Codes for Approximate Communication
When computing systems can tolerate the effects of errors or erasures in...
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03/22/2018
