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Mostafa Pasandideh

dblp:256/8516 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0003-2139-2632ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 30% Distributed systems · 30% Hardware reliability and fault tolerance · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems
fault tolerance
0.412020
Simultaneous Management of Peak-Power and Reliability in Heterogeneous Multicore Embedded Systems · IEEE Trans. Parallel Distributed Syst. 2020
Embedded and real-time systems
real-time scheduling
0.412020
Simultaneous Management of Peak-Power and Reliability in Heterogeneous Multicore Embedded Systems · IEEE Trans. Parallel Distributed Syst. 2020
Hardware reliability and fault tolerance
reliability management
0.412020
Simultaneous Management of Peak-Power and Reliability in Heterogeneous Multicore Embedded Systems · IEEE Trans. Parallel Distributed Syst. 2020
Energy-efficient computing › power management › dynamic voltage and frequency scaling
dynamic frequency scaling
0.112020
Simultaneous Management of Peak-Power and Reliability in Heterogeneous Multicore Embedded Systems · IEEE Trans. Parallel Distributed Syst. 2020

Methods — techniques the papers use, named apart from their topics

power density distribution · 0.4dynamic frequency scaling · 0.4
YearPublicationVenuePosition
2024 Enhancing Industrial Energy Efficiency with Predictive Analytics and Fuzzy Logic: A Case Study of Renewable Energy Management in the Meat Processing Industry
Mostafa Pasandideh, Jason Kurz, Martin Atkins, Mark D. Apperley
ICONIP (11)1
2020 Simultaneous Management of Peak-Power and Reliability in Heterogeneous Multicore Embedded Systems
abstract
Analysis of reliability, power, and performance at hardware and software levels due to heterogeneity is a crucial requirement for heterogeneous multicore embedded systems. Escalating power densities have led to thermal issues for heterogeneous multicore embedded systems. This paper proposes a peak-power-aware reliability management scheme to meet power constraints through distributing power density on the whole chip such that reliability targets are satisfied. In this paper, we consider peak power consumption as a system-level power constraint to prevent system failure. To balance the power consumption, we also employ a Dynamic Frequency Scaling (DFS) method to further reduce peak power consumption and satisfy thermal constraints on the chip. We illustrate the benefits of our scheme by comparing it with state-of-the-art schemes, resulting in average in 26.5 percent less peak power consumption (up to 54.3 percent).
Mohsen Ansari, Javad Saber-Latibari, Mostafa Pasandideh, Alireza Ejlali
IEEE Trans. Parallel Distributed Syst.3