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HiPS 2022 : 2nd Workshop on High Performance Serverless Computing (in conjunction with ACM HPDC 2022)

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Link: https://highperformanceserverless.github.io/index.html
 
When Jun 30, 2022 - Jun 30, 2022
Where Minneapolis, Minnesota, USA
Submission Deadline Apr 8, 2022
Notification Due May 2, 2022
Final Version Due May 9, 2022
Categories    serverless   computer science   distributed computing   systems
 

Call For Papers

***********************************************************************
* 2nd Workshop on High Performance Serverless Computing (HiPS2022)
* June 30, 2022
* In conjunction with ACM HPDC 2022
* https://highperformanceserverless.github.io/
***********************************************************************

2nd Workshop on High Performance Serverless Computing ================================================

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 second 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 8, 2022 (AOE)
Notifications: May 2, 2022
Camera ready: May 9, 2022
Workshop date: June 30, 2022

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/conferences/?conf=hips2022


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
Zhuozhao Li, Southern University of Science and Technology

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