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HCW 2017 : Heterogeneity in Computing Workshop 2017


When May 29, 2017 - May 29, 2017
Where Orlando
Submission Deadline Jan 23, 2017
Notification Due Feb 17, 2017
Final Version Due Feb 28, 2017
Categories    accelerator   heterogeneity   parallel computing   high performance computing

Call For Papers

The Twenty Sixth International Heterogeneity in Computing Workshop (HCW)

In conjunction with IPDPS 2017, May 29, 2017, Orlando, 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).


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, algorithms, etc.. 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,

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

We also recall that heterogeneous systems must consist of several different
architectures working together.


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


*Paper submission: January 16, 2017
*Author notification: February 17, 2017
*Camera Ready: February 28, 2017


Submissions will be done through the EasyChair

Please visit the HCW 2017 website ( for instructions on how to submit.

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