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ASPLOS 2019 : Architectural Support for Programming Languages and Operating Systems

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Conference Series : Architectural Support for Programming Languages and Operating Systems
 
Link: https://asplos-conference.org/
 
When Apr 13, 2019 - Apr 17, 2019
Where Providence, RI,
Abstract Registration Due Jul 31, 2018
Submission Deadline Aug 7, 2018
Notification Due Nov 7, 2018
Final Version Due Jan 14, 2019
 

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. ASPLOS 2019 will be held in Providence, Rhode Island, a city rich in colonial period neighborhoods, interesting architecture, and home to Brown University and the Rhode Island School of Design (RISD). Like its predecessors, ASPLOS 2019 invites papers on ground-breaking research at the intersection of at least two ASPLOS disciplines: architecture, programming languages, operating systems, and related areas. Non-traditional 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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