Miquel Pericàs

Miquel Pericàs

Chalmers tekniska högskola

H-index: 16

Europe-Sweden

About Miquel Pericàs

Miquel Pericàs, With an exceptional h-index of 16 and a recent h-index of 10 (since 2020), a distinguished researcher at Chalmers tekniska högskola, specializes in the field of Computer Architecture, Parallel Runtimes, Supercomputing.

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

Analysis and Characterization of Performance Variability for OpenMP Runtime

ODIN: Overcoming Dynamic Interference in iNference Pipelines

JOSS: Joint Exploration of CPU-Memory DVFS and Task Scheduling for Energy Efficiency

Accelerating CNN inference on long vector architectures via co-design

At the locus of performance: Quantifying the effects of copious 3D-stacked cache on HPC workloads

Euro-Par 2023: Parallel Processing. 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28–September 1, 2023, Proceedings

Challenges and Opportunities in the Co-design of Convolutions and RISC-V Vector Processors

ERASE: Energy efficient task mapping and resource management for work stealing runtimes

Miquel Pericàs Information

University

Position

___

Citations(all)

1023

Citations(since 2020)

396

Cited By

795

hIndex(all)

16

hIndex(since 2020)

10

i10Index(all)

26

i10Index(since 2020)

10

Email

University Profile Page

Chalmers tekniska högskola

Google Scholar

View Google Scholar Profile

Miquel Pericàs Skills & Research Interests

Computer Architecture

Parallel Runtimes

Supercomputing

Top articles of Miquel Pericàs

Title

Journal

Author(s)

Publication Date

Analysis and Characterization of Performance Variability for OpenMP Runtime

Proceedings of the SC'23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis

Minyu Cui

Nikela Papadopoulou

Miquel Pericàs

2023/11/9

ODIN: Overcoming Dynamic Interference in iNference Pipelines

Pirah Noor Soomro

Nikela Papadopoulou

Miquel Pericàs

2023/8/24

JOSS: Joint Exploration of CPU-Memory DVFS and Task Scheduling for Energy Efficiency

Jing Chen

Madhavan Manivannan

Bhavishya Goel

Miquel Pericàs

2023/8/7

Accelerating CNN inference on long vector architectures via co-design

Sonia Rani Gupta

Nikela Papadopoulou

Miquel Pericas

2023/5/15

At the locus of performance: Quantifying the effects of copious 3D-stacked cache on HPC workloads

ACM Transactions on Architecture and Code Optimization

Jens Domke

Emil Vatai

Balazs Gerofi

Yuetsu Kodama

Mohamed Wahib

...

2023/12/14

Euro-Par 2023: Parallel Processing. 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28–September 1, 2023, Proceedings

José Cano

Marios D Dikaiakos

George A Papadopoulos

Miquel Pericàs

Rizos Sakellariou

2023

Challenges and Opportunities in the Co-design of Convolutions and RISC-V Vector Processors

Proceedings of the SC'23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis

Sonia Rani Gupta

Nikela Papadopoulou

Miquel Pericàs

2023/11/9

ERASE: Energy efficient task mapping and resource management for work stealing runtimes

ACM Transactions on Architecture and Code Optimization (TACO)

Jing Chen

Madhavan Manivannan

Mustafa Abduljabbar

Miquel Pericàs

2022/3/8

Steer: Asymmetry-aware energy efficient task scheduler for cluster-based multicore architectures

Jing Chen

Madhavan Manivannan

Bhavishya Goel

Mustafa Abduljabbar

Miquel Pericàs

2022/11/2

Cooperative Slack Management: Saving Energy of Multicore Processors by Trading Performance Slack Between QoS-Constrained Applications

ACM Transactions on Architecture and Code Optimization (TACO)

Mehrzad Nejat

Madhavan Manivannan

Miquel Pericàs

Per Stenström

2022/1/31

Shisha: Online scheduling of CNN pipelines on heterogeneous architectures

Pirah Noor Soomro

Mustafa Abduljabbar

Jeronimo Castrillon

Miquel Pericàs

2022/9/11

Task-RM: a resource manager for energy reduction in task-parallel applications under quality of service constraints

ACM Transactions on Architecture and Code Optimization (TACO)

M Waqar Azhar

Miquel Pericas

Per Stenström

2022/1/22

Energy-Efficiency Evaluation of OpenMP Loop Transformations and Runtime Constructs

arXiv preprint arXiv:2209.04317

Henrik Valter

Axel Karlsson

Miquel Pericàs

2022/9/9

At the locus of performance: A case study in enhancing cpus with copious 3d-stacked cache

arXiv preprint arXiv:2204.02235

Jens Domke

Emil Vatai

Balazs Gerofi

Yuetsu Kodama

Mohamed Wahib

...

2022/4/5

Parallel Programming Models

Muhammad Nufail Farooqi

Mustafa Abduljabbar

Vicenç Beltran

Xavier Teruel

Roger Ferrer

...

2022/3/25

Vectorized barrier and reduction in llvm openmp runtime

Muhammad Nufail Farooqi

Miquel Pericàs

2021/9/8

Mitigating inefficient task mappings with an Adaptive Resource-Moldable Scheduler (ARMS)

arXiv preprint arXiv:2112.09509

Mustafa Abduljabbar

Mahmoud Eljammaly

Miquel Pericas

2021/12/17

CBP: Coordinated management of cache partitioning, bandwidth partitioning and prefetch throttling

Nadja Ramhöj Holtryd

Madhavan Manivannan

Per Stenström

Miquel Pericàs

2021/9/26

Coordinated management of processor configuration and cache partitioning to optimize energy under QoS constraints

Mehrzad Nejat

Madhavan Manivannan

Miquel Pericas

Per Stenström

2020/5/18

Coordinated management of DVFS and cache partitioning under QoS constraints to save energy in multi-core systems

Journal of Parallel and Distributed Computing

Mehrzad Nejat

Madhavan Manivannan

Miquel Pericàs

Per Stenström

2020/10/1

See List of Professors in Miquel Pericàs University(Chalmers tekniska högskola)