The P3 Explorer: An Open Database of Performance, Portability, and Productivity

Matthew Smith; Steven A. Wright; Zaman Lantra; Gihan R. Mudalige

doi:10.1109/PDP66500.2025.00079

The P3 Explorer: An Open Database of Performance, Portability, and Productivity

Matthew Smith, Steven A. Wright, Zaman Lantra, Gihan R. Mudalige

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper introduces a web-based tool designed to organise and present visual representations of performance, portability, and productivity (P3) data from previously published scientific studies. The P3 Explorer operates as both an open repository of application performance data and a data dashboard, providing visual heuristic analyses of performance portability and developer productivity, created using Intel’s P3 Analysis library. The goal of the project is to create a community-led database of P3 studies to better inform application developers of alternative approaches to developing new applications that target high performance on diverse hardware, considering the productivity of the developer. In this paper, we evaluate our tool using a recently published study outlining a performance portable
domain-specific language for particle-in-cell applications.

Original language	English
Title of host publication	33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing
Number of pages	6
DOIs	https://doi.org/10.1109/PDP66500.2025.00079
Publication status	Published - 12 Mar 2025
Event	33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing - University of Turin, Turin, Italy Duration: 12 Mar 2025 → 14 Mar 2025 Conference number: 2025 https://pdp2025.org

Conference

Conference	33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing
Abbreviated title	PDP
Country/Territory	Italy
City	Turin
Period	12/03/25 → 14/03/25
Internet address	https://pdp2025.org

Bibliographical note

This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy.

Access to Document

10.1109/PDP66500.2025.00079

P3_Explorer
This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy.
Accepted author manuscript, 2.46 MBLicence: CC BY

Cite this

@inproceedings{689d4e8955264c149056904ed828414a,

title = "The P3 Explorer: An Open Database of Performance, Portability, and Productivity",

abstract = "This paper introduces a web-based tool designed to organise and present visual representations of performance, portability, and productivity (P3) data from previously published scientific studies. The P3 Explorer operates as both an open repository of application performance data and a data dashboard, providing visual heuristic analyses of performance portability and developer productivity, created using Intel{\textquoteright}s P3 Analysis library. The goal of the project is to create a community-led database of P3 studies to better inform application developers of alternative approaches to developing new applications that target high performance on diverse hardware, considering the productivity of the developer. In this paper, we evaluate our tool using a recently published study outlining a performance portabledomain-specific language for particle-in-cell applications.",

author = "Matthew Smith and Wright, {Steven A.} and Zaman Lantra and Mudalige, {Gihan R.}",

note = "This is an author-produced version of the published paper. Uploaded in accordance with the University{\textquoteright}s Research Publications and Open Access policy. ; 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP ; Conference date: 12-03-2025 Through 14-03-2025",

year = "2025",

month = mar,

day = "12",

doi = "10.1109/PDP66500.2025.00079",

language = "English",

booktitle = "33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing",

url = "https://pdp2025.org",

}

Smith, M, Wright, SA, Lantra, Z & Mudalige, GR 2025, The P3 Explorer: An Open Database of Performance, Portability, and Productivity. in 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing. 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, Turin, Italy, 12/03/25. https://doi.org/10.1109/PDP66500.2025.00079

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T1 - The P3 Explorer

T2 - 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing

AU - Smith, Matthew

AU - Wright, Steven A.

AU - Lantra, Zaman

AU - Mudalige, Gihan R.

N1 - Conference code: 2025

PY - 2025/3/12

Y1 - 2025/3/12

N2 - This paper introduces a web-based tool designed to organise and present visual representations of performance, portability, and productivity (P3) data from previously published scientific studies. The P3 Explorer operates as both an open repository of application performance data and a data dashboard, providing visual heuristic analyses of performance portability and developer productivity, created using Intel’s P3 Analysis library. The goal of the project is to create a community-led database of P3 studies to better inform application developers of alternative approaches to developing new applications that target high performance on diverse hardware, considering the productivity of the developer. In this paper, we evaluate our tool using a recently published study outlining a performance portabledomain-specific language for particle-in-cell applications.

AB - This paper introduces a web-based tool designed to organise and present visual representations of performance, portability, and productivity (P3) data from previously published scientific studies. The P3 Explorer operates as both an open repository of application performance data and a data dashboard, providing visual heuristic analyses of performance portability and developer productivity, created using Intel’s P3 Analysis library. The goal of the project is to create a community-led database of P3 studies to better inform application developers of alternative approaches to developing new applications that target high performance on diverse hardware, considering the productivity of the developer. In this paper, we evaluate our tool using a recently published study outlining a performance portabledomain-specific language for particle-in-cell applications.

U2 - 10.1109/PDP66500.2025.00079

DO - 10.1109/PDP66500.2025.00079

M3 - Conference contribution

BT - 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing

Y2 - 12 March 2025 through 14 March 2025

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