The goal of the workshop and this report is to identify common themes and standardize concepts for locality-preserving abstractions for exascale programming models. Current software tools are built on the premise that computing is the most expensive component, we are rapidly moving to an era that computing is cheap and massively parallel while data movement dominates energy and performance costs. In order to respond to exascale systems (the next generation of high performance computing systems), the scientific computing community needs to refactor their applications to align with the emerging data-centric paradigm. Our applications must be evolved to express information about data locality. Unfortunately current programming environments off...
International audienceWe developed a theory in order to address crucial questions of program design ...
From the Foreword: “The authors of the chapters in this book are the pioneers who will explore the e...
It is difficult to achieve high performance while programming in the large. In particular, maintaini...
The goal of the workshop and this report is to identify common themes and standardize concepts for l...
The cost of data movement has always been an important concern in high performance computing (HPC) s...
Large scale computing infrastructures have been widely developed with the core objective of providin...
International audienceExtreme scale parallel computing systems will have tens of thousands ...
International audienceExtreme scale parallel computing systems will have tens of thousands of option...
In the light of the current race towards the Exascale, this article highlights the main features of ...
c © The Authors 2015. This paper is published with open access at SuperFri.org Extreme scale paralle...
With more and more machines achieving petascale capabilities, the focus is shifting towards the next...
Abstract—Exascale systems will present programmers with many challenges. We review the parallel prog...
Programming models bridge the gap between the underlying hardware architecture and the supporting la...
Data locality is a well-recognized requirement for the development of any parallel application, but ...
This paper describes a technique for improving the data ref-erence locality of parallel programs usi...
International audienceWe developed a theory in order to address crucial questions of program design ...
From the Foreword: “The authors of the chapters in this book are the pioneers who will explore the e...
It is difficult to achieve high performance while programming in the large. In particular, maintaini...
The goal of the workshop and this report is to identify common themes and standardize concepts for l...
The cost of data movement has always been an important concern in high performance computing (HPC) s...
Large scale computing infrastructures have been widely developed with the core objective of providin...
International audienceExtreme scale parallel computing systems will have tens of thousands ...
International audienceExtreme scale parallel computing systems will have tens of thousands of option...
In the light of the current race towards the Exascale, this article highlights the main features of ...
c © The Authors 2015. This paper is published with open access at SuperFri.org Extreme scale paralle...
With more and more machines achieving petascale capabilities, the focus is shifting towards the next...
Abstract—Exascale systems will present programmers with many challenges. We review the parallel prog...
Programming models bridge the gap between the underlying hardware architecture and the supporting la...
Data locality is a well-recognized requirement for the development of any parallel application, but ...
This paper describes a technique for improving the data ref-erence locality of parallel programs usi...
International audienceWe developed a theory in order to address crucial questions of program design ...
From the Foreword: “The authors of the chapters in this book are the pioneers who will explore the e...
It is difficult to achieve high performance while programming in the large. In particular, maintaini...