Magnus Jahre

About Magnus Jahre

Magnus Jahre, With an exceptional h-index of 18 and a recent h-index of 15 (since 2020), a distinguished researcher at Norges teknisk-naturvitenskaplige universitet, specializes in the field of Computer Architecture.

His recent articles reflect a diverse array of research interests and contributions to the field:

Paper A TIP: Time-Proportional Instruction Profiling

Paper B TEA: Time-Proportional Event Analysis

CoFaaS: Automatic Transformation-based Consolidation of Serverless Functions

Paper C Balancing Accuracy and Evaluation Overhead in Simulation Point Selection

Near-optimal multi-accelerator architectures for predictive maintenance at the edge

Balancing performance against cost and sustainability in multi-chip-module GPUs

NUBA: Non-uniform bandwidth GPUs

SAC: sharing-aware caching in multi-chip GPUs

Magnus Jahre Information

University

Position

Associate Professor (NTNU)

Citations(all)

2192

Citations(since 2020)

1677

Cited By

1118

hIndex(all)

18

hIndex(since 2020)

15

i10Index(all)

30

i10Index(since 2020)

21

Email

University Profile Page

Norges teknisk-naturvitenskaplige universitet

Google Scholar

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Magnus Jahre Skills & Research Interests

Computer Architecture

Top articles of Magnus Jahre

Title

Journal

Author(s)

Publication Date

Paper A TIP: Time-Proportional Instruction Profiling

Time-Proportional Performance Analysis for Out-of-Order Processors

Björn Gottschall

Lieven Eeckhout

Magnus Jahre

2024

Paper B TEA: Time-Proportional Event Analysis

Time-Proportional Performance Analysis for Out-of-Order Processors

Björn Gottschall

Lieven Eeckhout

Magnus Jahre

2024

CoFaaS: Automatic Transformation-based Consolidation of Serverless Functions

Truls Asheim

Magnus Jahre

Rakesh Kumar

2024/4/22

Paper C Balancing Accuracy and Evaluation Overhead in Simulation Point Selection

Time-Proportional Performance Analysis for Out-of-Order Processors

Björn Gottschall

Silvio Campelo de Santana

Magnus Jahre

2024

Near-optimal multi-accelerator architectures for predictive maintenance at the edge

Future Generation Computer Systems

Mostafa Koraei

Juan M Cebrian

Magnus Jahre

2023/3/1

Balancing performance against cost and sustainability in multi-chip-module GPUs

IEEE Computer Architecture Letters

Shiqing Zhang

Mahmood Naderan-Tahan

Magnus Jahre

Lieven Eeckhout

2023/9/8

NUBA: Non-uniform bandwidth GPUs

Xia Zhao

Magnus Jahre

Yuhua Tang

Guangda Zhang

Lieven Eeckhout

2023/1/27

SAC: sharing-aware caching in multi-chip GPUs

Shiqing Zhang

Mahmood Naderan-Tahan

Magnus Jahre

Lieven Eeckhout

2023/6/17

TEA: Time-Proportional Event Analysis

Björn Gottschall

Lieven Eeckhout

Magnus Jahre

2023/6/17

Characterizing Multi-Chip GPU Data Sharing

ACM Transactions on Architecture and Code Optimization

Shiqing Zhang

Mahmood Naderan-Tahan

Magnus Jahre

Lieven Eeckhout

2023/12/14

Determination of Drillstring Parameters and Associated Control

2023/5/18

Balancing Accuracy and Evaluation Overhead in Simulation Point Selection

Björn Gottschall

Silvio Campelo de Santana

Magnus Jahre

2023/10/1

PES: An energy and throughput model for energy harvesting IoT systems

Fatemeh Ghasemi

Lukas Liedtke

Magnus Jahre

2023/4/23

ESS: Repeatable Evaluation of Energy Harvesting Subsystems for Industry-Grade IoT Platforms

Fatemeh Ghasemi

Lukas Liedtke

Magnus Jahre

2023/10/1

LMT: Accurate and Resource-Scalable Slowdown Prediction

IEEE Computer Architecture Letters

Peter Salvesen

Magnus Jahre

2022/9/1

Delegated replies: alleviating network clogging in heterogeneous architectures

Xia Zhao

Lieven Eeckhout

Magnus Jahre

2022/4/2

Fast and accurate edge computing energy modeling and DVFS implementation in GEM5 using system call emulation mode

Journal of Signal Processing Systems

Yahya H Yassin

Magnus Jahre

Per Gunnar Kjeldsberg

Snorre Aunet

Francky Catthoor

2021

Challenges in the realm of embedded real-time image processing

Towards Ubiquitous Low-power Image Processing Platforms

Philippe Millet

Michael Grinberg

Magnus Jahre

2021

Towards Ubiquitous Low-power Image Processing Platforms

Magnus Jahre

Diana Göhringer

Philippe Millet

2021

Lynsyn and LynsynLite: The STHEM power measurement units

Towards Ubiquitous Low-power Image Processing Platforms

Asbjørn Djupdal

Björn Gottschall

Fatemeh Ghasemi

Magnus Jahre

2021

See List of Professors in Magnus Jahre University(Norges teknisk-naturvitenskaplige universitet)

Co-Authors

H-index: 17
Lasse Natvig

Lasse Natvig

Norges teknisk-naturvitenskaplige universitet

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