[hpc-announce] CFP: EPCCW'19: International Workshop on Emerging Patterns and Challenges of Converged Workloads

[M. Mustafa Rafique]

CALL FOR PAPERS
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EPCCW'19: 1st International Workshop on Emerging Patterns and
Challenges of Converged Workloads

Workshop Date: Sept 23, 2019

Held in conjunction with IEEEE CLUSTER 2019, Albequerque, New Mexico, USA

(Conference dates: Sept 23-26, 2019)

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https://sites.google.com/view/epccw2019/

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he challenges involved in efficiently executing modern distributed
applications and workflows are not well understood by the research and
scientific community. These challenges originate from stringent
workload requirements and extend beyond the boundaries of an isolated
application space to various components of parallel and distributed
system involving complex data patterns, scalable algorithms and system
architectures.

The lack of adequate insight leads to ad-hoc and suboptimal methods
and techniques to address particular challenges related to various
aspects of distributed systems, such as, distributed runtime and
middleware, management of heterogeneous resources, fault-tolerance and
resilience of application and system software stack, data access
latencies, reliability and high availability, etc. Additionally, the
evolving HPC ecosystem is now including data analytics and AI
applications, leading to a convergence between traditional HPC and
workloads historically found in enterprise data centers or clouds.
These new class of workloads often present interoperability and
compatibility issues when running in traditional HPC environments.

To this end, this workshop aims to provide a venue to characterize and
explain challenges, capabilities, bottlenecks, system-level patterns,
and solutions therein to the common scenarios emerging from modern HPC
workloads. Such a venue is highly desirable not only for engineers to
build efficient applications, but also for researchers and scientists
to present efficient solutions to eliminate common technical
challenges faced by the high-performance and distributed computing
communities at large. In addition to research artifacts, we also
highly encourage position and experience papers.

Topics of interest:

Large-Scale Data Patterns

- Data representation and data structures

- Dynamic/temporal data requirements

- Heterogeneous data and metadata

- Data related to provenance and trust

- Relational and linked data

- Complex event processing



Scalability and Usability Challenges of Applications and Architectures

- Data Management (extraction, cleaning, processing, indexing)

- Scalable architectures (clouds, HPC, IoT)

- Programming models and runtimes (e.g. stream processing, AI, machine
learning systems, etc.)

- Big data placement, scheduling and optimization

- Complex workflows (in situ, in transit, application specific workflows, etc)

- Infrastructure for reproducibility

- Systems and OS software/features to enable emerging applications or
architectures

- Online data analytics during HPC simulations

- Resource management for parallel and distributed systems



Important Dates:

- Submission Deadline (firm): July 22 2019 AoE

- Responses to Authors: August 5, 2019

- Camera Ready due: August 12, 2019

EPCCW'19. Dayal, Lofstead, Nicolae, Rafique