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Heterogeneous Computing, Point of View and Call for Action

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Manage episode 321244092 series 2523626
Content provided by Hewlett Packard Enterprise and Hewlett Packard Labs. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hewlett Packard Enterprise and Hewlett Packard Labs or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this week’s episode of Hewlett Packard Labs Podcast “From Research to Reality”, Dejan Milojicic hosts five colleagues across HPC/AI business and Hewlett Packard Labs: Nic Dube, Paolo Faraboschi, Arti Garg, Ken Leach, and Rangan Sukumar. Together they present a point of view on heterogeneous computing and they issue a call for action. Outside of the embedded space, the computing industry is unprepared to deal with a flood of new, specialized and unconventional computing elements. They argue that the community needs to embrace a major shift to enable heterogeneity in an equitable, secure, and sustainable manner. This shift has to cover every aspect of how we design systems, including platforms, interconnects, software, applications, and IO subsystems. With the increasing innovation in the accelerator space and several new accelerators entering the market, there currently is a matching and unjustified diversity in the systems built around them, software, and management stacks. While in some cases system-level diversity is justified by a different computing paradigm, the community needs to avoid “gratuitous differentiation”, which does not add value to the diverse computing elements, complicates the integration process and application portability, and causes a multiplication of efforts that shifts engineering resource away from core technology. As a result, end users are facing increasing difficulty in reusing a single application code base across different accelerators. Similarly, system integrators are facing increasing difficulty in incorporating accelerators in their products, and software developers in developing code that is portable across multiple heterogeneous computing elements. To overcome these problems and to encourage focused innovation in the accelerators space requires understanding the system-level differentiation points and providing a set of recommendations to all the participants in the ecosystem, including accelerator technology providers, system integrators, software developers, the open source community, as well as the end users in both the scientific community and the cloud service providers. The goals of these recommendations would be to identify the areas to open vs those where innovation is welcome. This document motivates this point of view on this topic, but also represents a “call for action” for all the major players to work together and improve the landscape of heterogeneous computing. This is an important next step that will benefit the entire industry, and collectively improve the ability to achieve faster results and better reuse across accelerated systems.

  continue reading

118 episodes

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Manage episode 321244092 series 2523626
Content provided by Hewlett Packard Enterprise and Hewlett Packard Labs. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hewlett Packard Enterprise and Hewlett Packard Labs or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this week’s episode of Hewlett Packard Labs Podcast “From Research to Reality”, Dejan Milojicic hosts five colleagues across HPC/AI business and Hewlett Packard Labs: Nic Dube, Paolo Faraboschi, Arti Garg, Ken Leach, and Rangan Sukumar. Together they present a point of view on heterogeneous computing and they issue a call for action. Outside of the embedded space, the computing industry is unprepared to deal with a flood of new, specialized and unconventional computing elements. They argue that the community needs to embrace a major shift to enable heterogeneity in an equitable, secure, and sustainable manner. This shift has to cover every aspect of how we design systems, including platforms, interconnects, software, applications, and IO subsystems. With the increasing innovation in the accelerator space and several new accelerators entering the market, there currently is a matching and unjustified diversity in the systems built around them, software, and management stacks. While in some cases system-level diversity is justified by a different computing paradigm, the community needs to avoid “gratuitous differentiation”, which does not add value to the diverse computing elements, complicates the integration process and application portability, and causes a multiplication of efforts that shifts engineering resource away from core technology. As a result, end users are facing increasing difficulty in reusing a single application code base across different accelerators. Similarly, system integrators are facing increasing difficulty in incorporating accelerators in their products, and software developers in developing code that is portable across multiple heterogeneous computing elements. To overcome these problems and to encourage focused innovation in the accelerators space requires understanding the system-level differentiation points and providing a set of recommendations to all the participants in the ecosystem, including accelerator technology providers, system integrators, software developers, the open source community, as well as the end users in both the scientific community and the cloud service providers. The goals of these recommendations would be to identify the areas to open vs those where innovation is welcome. This document motivates this point of view on this topic, but also represents a “call for action” for all the major players to work together and improve the landscape of heterogeneous computing. This is an important next step that will benefit the entire industry, and collectively improve the ability to achieve faster results and better reuse across accelerated systems.

  continue reading

118 episodes

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