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HiPS 2021 : 1st Workshop on High Performance Serverless Computing (in conjunction with ACM HPDC 2021)

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Link: https://highperformanceserverless.github.io/
 
When Jun 25, 2021 - Jun 25, 2021
Where Virtual
Submission Deadline Apr 16, 2021
Notification Due Apr 30, 2021
Final Version Due May 15, 2021
Categories    high performance computing   computer science   distributed computing   systems
 

Call For Papers

******************************************************
* Workshop on High Performance Serverless Computing (HiPS2021)
* 25 June, 2021 | Virtual
* In conjunction with ACM HPDC 2021
* https://highperformanceserverless.github.io/
******************************************************

1st Workshop on High Performance Serverless Computing

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Serverless computing represents the next significant leap forward with respect to abstracting commoditized computing resources. The main principle of serverless computing is that compute providers deploy and manage the entire compute environment---from hardware through to runtime in which an application executes; users, therefore, think entirely at the level of their application without regard for the underlying computing environment. For example, the function as a service (FaaS) model allows users to first register a programming function (e.g., in Python) and then they may invoke that function many times with different input arguments.

Serverless computing is poised to become not only the face of cloud computing in the commercial world but also a model for remote and distributed computing more broadly. The 1st workshop on High Performance Serverless Computing will provide the high performance and distributed computing community with a dedicated forum for discussing foundational research in serverless computing in both industry and academia. The workshop will bring together these communities and provide a forum for innovation in both the high performance and distributed systems that underlie serverless computing platforms and also the use of serverless models for abstracting traditional high performance and distributed computing systems.

Workshop URL: https://highperformanceserverless.github.io/


TOPICS OF INTEREST
-------------------------------
The focus of the workshop includes, but is not limited to, the following topics:
Developing high performance serverless computing platforms
Federation of serverless computing platforms
Container management and scheduling
Programming paradigms for serverless computing
Data management for serverless computing
Applications of serverless computing
Benchmarking and performance of serverless computing
On-demand and event-based computation
Serverless economics and billing models
Fault tolerance and reliability
Data-intensive workloads and tools
Productivity tools (Debugging, Profiling, Logging, etc)
Stream and events processing
Security in serverless
Heterogeneous computing (GPU, Accelerators, exotic architectures)


SCHEDULE AND SUBMISSION PROCEDURE
---------------------------------------------------------------
Papers due: April 9, 2021 (AOE)
Notifications: April 30, 2021
Camera ready: Early May, 2021
Workshop date: June 25, 2021

Authors are invited to submit papers describing unpublished, original research. All submitted manuscripts should be formatted using the ACM Master Template with sigconf format (please be sure to use the current version). All necessary documentation can be found at: https://www.acm.org/publications/proceedings-template.

Papers may be either full (8 pages) or short (4 pages) including all text, figures, and references. Papers will be peer-reviewed (single blind), and accepted papers will be published in the workshop proceedings as part of the ACM Digital Library.

Papers conforming to these guidelines should be submitted through EasyChair:
https://easychair.org/my/conference?conf=serverless2021


WORKSHOP CHAIRS
-----------------------------
Yadu Babuji, University of Chicago and Argonne National Laboratory
Kyle Chard, University of Chicago and Argonne National Laboratory
Ian Foster, University of Chicago and Argonne National Laboratory

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