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ASPLOS 2018 : 23rd International Conference on Architectural Support for Programming Languages and Operating Systems

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Conference Series : Architectural Support for Programming Languages and Operating Systems
 
Link: http://www.asplos2018.org
 
When Mar 24, 2018 - Mar 28, 2018
Where Williamsburg, VA, USA
Abstract Registration Due Aug 4, 2017
Submission Deadline Aug 11, 2017
Notification Due Nov 13, 2017
Final Version Due Jan 19, 2018
Categories    computer architecture   programming languages   operating systems
 

Call For Papers

ASPLOS is the premier forum for multidisciplinary systems research spanning computer architecture and hardware, programming languages and compilers, operating systems and networking. The ASPLOS 2018 will be held in Williamsburg, Virginia, a town that combines a rich slice of American Colonial and Revolutionary history with a modern college atmosphere.

Like its predecessors, ASPLOS 2018 invites papers on ground-breaking research at the intersection of at least two ASPLOS disciplines: architecture, programming languages, operating systems, and related areas. Nontraditional topics are especially encouraged. The importance of cross-cutting research continues to grow as
we grapple with the end of Dennard scaling, the explosion of big data, scales ranging from ultra-low power wearable devices to exascale parallel and cloud computers, the need for sustainability, and increasingly human-centered applications. ASPLOS embraces systems research that directly targets these new problems in innovative ways. The research may target diverse goals, such as performance, energy and thermal efficiency, resiliency, security, and sustainability. The review process will be sensitive to the challenges of
multidisciplinary work in emerging areas.

Areas of interest include, but are not limited to:
* Existing and emerging platforms at all scales, from embedded to cloud
* Internet services, cloud computing, and datacenters
* Multicore architectures and systems
* Heterogeneous architectures and accelerators
* Systems for enabling parallelism at an extreme scale
* Programming models, languages, and compilation for all platforms
* Managing, storing, and computing on big data
* Virtualization and virtualized systems
* Memory and storage technologies and architectures
* Power, energy, and thermal management
* Security, reliability, and availability
* Verification and testing, and their impact on design
* Support for approximations and approximate computing
* Non-traditional computing systems

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