signaloid-demo-navigation-gpswalking's Introduction

MICRO Benchmark: `speed-calc-GPS`

Benchmark from Tsoutsouras et al. MICRO paper.¹

This is the "GPS Walking" example from the Uncertain<T> work ².

Overview

The benchmark uses noisy GPS measurements to calculate the GPS receiver's speed.

Arguments

speed-calc-GPS -f <file> -s <samples> -m <mode>
	-f <file>: input (`sensoringData_gps_clean_user1_walking_driving-uncertainT-64.csv` is the default)
	-s <samples>: number of samples per value (32 is the default)
	-m <mode>: 1 for explicit computation, 0 for implicit uncertainty tracking (0 is the default)

Inputs

The inputs are part of a public dataset for activity tracking ³ distributed under a CC-BY 4.0 LICENSE.

Vasileios Tsoutsouras, Orestis Kaparounakis, Bilgesu Arif Bilgin, Chatura Samarakoon, James Timothy Meech, Jan Heck, Phillip Stanley-Marbell: The Laplace Microarchitecture for Tracking Data Uncertainty and Its Implementation in a RISC-V Processor. MICRO 2021: 1254-1269 ↩
J. Bornholt, T. Mytkowicz, and K. S. McKinley, “Uncertain<T>: a first-order type for uncertain data,” in Proceedings of the 19th international conference on Architectural support for programming languages and operating systems - ASPLOS ’14, Salt Lake City, Utah, USA, 2014, pp. 51–66. doi: 10.1145/2541940.2541958. ↩
Garcia-Gonzalez, Daniel; Rivero, Daniel; Fernandez-Blanco, Enrique; R. Luaces, Miguel (2020), “A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors”, Mendeley Data, V1, doi: 10.17632/3xm88g6m6d.1 ↩

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