The P3 Explorer: Exploring the Performance, Portability, and Productivity Wilderness

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

The P3 Explorer: Exploring the Performance, Portability, and Productivity Wilderness

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

Computer Science

Research output: Contribution to conference › Poster › peer-review

Abstract

This paper documents the development of 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 scientific data and a data dashboard, providing visual heuristic analyses of performance portability and developer productivity, created using the Intel’s P3 Analysis library. The aim 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 targeting high performance on diverse hardware, with consideration of developer productivity.

Original language	English
Publication status	Published - 17 Nov 2024
Event	The International Conference for High Performance Computing, Networking, Storage, and Analysis - Atlanta, United States Duration: 17 Nov 2024 → 22 Nov 2024 https://sc24.supercomputing.org

Conference

Conference	The International Conference for High Performance Computing, Networking, Storage, and Analysis
Abbreviated title	SC
Country/Territory	United States
City	Atlanta
Period	17/11/24 → 22/11/24
Internet address	https://sc24.supercomputing.org

Access to Document

York-Poster-A1-P3-ExplorerFinal published version, 3.33 MBLicence: Unspecified
P3 Explorer Poster SummaryFinal published version, 4.87 MBLicence: Unspecified

Cite this

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title = "The P3 Explorer: Exploring the Performance, Portability, and Productivity Wilderness",

abstract = "This paper documents the development of 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 scientific data and a data dashboard, providing visual heuristic analyses of performance portability and developer productivity, created using the Intel{\textquoteright}s P3 Analysis library. The aim 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 targeting high performance on diverse hardware, with consideration of developer productivity.",

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

year = "2024",

month = nov,

day = "17",

language = "English",

note = "The International Conference for High Performance Computing, Networking, Storage, and Analysis, SC ; Conference date: 17-11-2024 Through 22-11-2024",

url = "https://sc24.supercomputing.org",

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The P3 Explorer: Exploring the Performance, Portability, and Productivity Wilderness. / Smith, Matthew A.; Wright, Steven A.; Lantra, Zaman et al.
2024. Poster session presented at The International Conference for High Performance Computing, Networking, Storage, and Analysis, Atlanta, Georgia, United States.

Research output: Contribution to conference › Poster › peer-review

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T1 - The P3 Explorer: Exploring the Performance, Portability, and Productivity Wilderness

AU - Smith, Matthew A.

AU - Wright, Steven A.

AU - Lantra, Zaman

AU - Mudalige, Gihan R.

PY - 2024/11/17

Y1 - 2024/11/17

N2 - This paper documents the development of 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 scientific data and a data dashboard, providing visual heuristic analyses of performance portability and developer productivity, created using the Intel’s P3 Analysis library. The aim 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 targeting high performance on diverse hardware, with consideration of developer productivity.

AB - This paper documents the development of 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 scientific data and a data dashboard, providing visual heuristic analyses of performance portability and developer productivity, created using the Intel’s P3 Analysis library. The aim 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 targeting high performance on diverse hardware, with consideration of developer productivity.

M3 - Poster

T2 - The International Conference for High Performance Computing, Networking, Storage, and Analysis

Y2 - 17 November 2024 through 22 November 2024

ER -