Works (3)
Updated: July 5th, 2023 15:38
2017 conference paper
Characterizing the impact of soft errors across microarchitectural structures and implications for predictability
Proceedings of the 2017 ieee international symposium on workload characterization (iiswc), 250–260.
TL;DR:
This study evaluates the Architectural Vulnerability Factor (AVF) of all major in-core memory structures of an out-of-order superscalar processor, and finds that DUEAVF can be predicted using a linear regression with similar accuracy as AVF estimation, however, SDCAVF could not be predicted with the same level of accuracy.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions
(OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018
2016 journal article
An Accurate Cross-Layer Approach for Online Architectural Vulnerability Estimation
ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 13(3).
author keywords: Architectural vulnerability factor; cross-layer reliability
TL;DR:
This work proposes a cross-layer approach for estimating the architectural vulnerability of a processor core online that works by combining information from software, compiler, and microarchitectural layers at runtime and demonstrates the effectiveness of the approach using a dynamic protection scheme that limits vulnerability to soft errors while reducing the energy consumption.
(via Semantic Scholar)
open access via dl.acm.org (publisher PDF)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2015 article
SourceMark: A Source-Level Approach for Identifying Architecture and Optimization Agnostic Regions for Performance Analysis
2015 IEEE INTERNATIONAL SYMPOSIUM ON WORKLOAD CHARACTERIZATION (IISWC), pp. 160–171.
TL;DR:
This work proposes a technique that identifies regions of a desired granularity for performance evaluation using a source-to-source compiler that inserts software marks into the program's source code to divide the execution into regions with a desired dynamic instruction count.
(via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018
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