[hpc-announce] Extended Deadline: HCW 2016 Heterogeneity in Computing Workshop 2016 (collocated with IPDPS 2016) [DEADLINE EXTENSION: Jan 17th]

[Erik Saule]

Upon popular request, we decided to extend the submission deadline of
HCW 2016 to January 17. A copy of the updated call for paper is
attached for your convenience.


(Apologies if you receive multiple copies of this CfP)

Call for Papers

The Twenty Fifth International Heterogeneity in Computing Workshop (HCW)

In conjunction with IPDPS 2016, May 23, 2016, Chicago, USA

Sponsored by the IEEE Computer Society,
through the Technical Committee on Parallel Processing (TCPP),
and by the U.S. Office of Naval Research (ONR).

SUMMARY

Most modern computing systems are heterogeneous, either for organic
reasons because components grew independently as it is the case in
desktop grids, or by design to leverage the strength of specific
hardware as it is the case in accelerated systems. In any case, all
computing systems have some form of hardware or software heterogeneity
that must been managed, leveraged and understood. HCW is a venue to
discuss and innovate in all theoretical and practical aspects of
heterogeneous computing: programmability, modeling, design,
applications, efficient utilization, to name a few. Authors are
encouraged to submit papers on topics including but not limited to:

Heterogeneous Systems and Architecture. Accelerated systems (GPUs,
Xeon Phi, FPGAs, big.LITTLE, ...). Heterogeneous distributed systems
(grid, desktop grid, cloud, hybrid clusters) including software
heterogeneity. Deep-memory hierarchies (HDD, DRAM, cache, NUMA) and
novel explicit memory systems (SSD, NVRAM, 3D stacked memory).

Programming Models and Tools. Code
reusability. Performance-abstraction tradeoff. Interoperability of
heterogeneous software environments. Middleware and runtime
systems. Workflows. Dataflows.

Algorithms for Heterogeneous Parallel System. Parallel algorithms for
solving problems on heterogeneous systems. Algorithms for managing
heterogeneous resources including allocation and scheduling.

Performance. Modeling, optimizing, improving the time to solve a
problem (throughput, latency, runtime), the electric consumption
(power, energy) and failure management (fault tolerance, recovery,
reliability).

Applications on Heterogeneous System. Case studies. Confluence of Big
Data systems and heterogeneous systems. Data-intensive computing. Deep
Learning. Scientific computing.

 

TOPICS

Areas or research interest include, but are not limited to:

*Parallel algorithms for heterogeneous and hierarchical systems, including manycores and hardware accelerators (FPGAs, GPUs, etc.)

*Parallel algorithms for efficient problem solving on heterogeneous platforms (hybrid clusters, Grids or Clouds)

*Performance models and their use in the design of parallel and distributed algorithms for heterogeneous platforms

*Programming paradigms and tools for heterogeneous systems

*Paradigms, algorithms, and techniques for failure management in high performance heterogeneous com- puting systems and applications

*Resource management in heterogeneous systems including allocation and scheduling

*Heterogeneity in computer architectures

*Performance evaluation and management of heterogeneous systems and applications

*Ubiquitous computing with heterogeneous systems

*Application case studies

*Task coordination and workflow issues in heterogeneous systems

*Confluence of big data and heterogeneity, including big data for heterogeneous data sets, and exploitation of heterogeneity in data-intensive computing for analytics

*Interoperability of heterogeneous software systems

IMPORTANT DATES

*Paper submission: January 6, 2016 (EXTENDED TO January 17th)
*Author notification: February 14, 2016
*Camera Ready: February 28, 2016

 

PAPER SUBMISSIONS

Please visit the HCW 2016 website (hcw.wsu.edu) for instructions on how to submit.


-- 
Dr Erik Saule
Assistant Professor at University of North Carolina at Charlotte (UNCC)
tel: +1 (704) 687-8580
web: http://webpages.uncc.edu/~esaule/
== 
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