29th Heterogeneity in Computing Workshop (HCW; collocated with IPDPS 2020)
http://hcw.oucreate.com/
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The Twenty Ninth International Heterogeneity in Computing Workshop (HCW), May 18, 2020
Collocated with 34rd IEEE IPDPS 2020, May 18 - 22, 2020, New Orleans, Louisiana USA.

Sponsored by the IEEE Computer Society, through the Technical Committee on Parallel Processing (TCPP).

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SUMMARY
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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.

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TOPICS
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Topics of interest include but are not limited to the following areas:

Heterogeneous multicore systems and architectures: Design, exploration, and experimental analysis of heterogeneous computing systems such as GPGPUs, heterogeneous systems-on-chip (SoC), accelerator systems (e.g., Xeon Phi), FPGAs, big.LITTLE, and application-specific architectures.

Heterogeneous parallel and distributed systems: Design and analysis of computing grids, cloud systems, hybrid clusters, datacenters, geo-distributed computing systems, and supercomputers.

Algorithms for heterogeneous systems: Parallel algorithms for solving problems on heterogeneous systems (multicores, hybrid clusters, grids or clouds); strategies for scheduling and allocation on heterogeneous 2D and 3D multicore architectures; scheduling and resource management on large-scale and parallel heterogeneous systems.

Deep-memory hierarchies: Design and analysis of memory hierarchies with SRAM, DRAM, Flash/SSD and HDD technologies; NUMA architectures; cache coherence strategies; novel memory systems such as phase-change RAM, magnetic (e.g., STT) RAM, 3D Xpoint/crossbars, and memristors.

On-chip and off-chip network architectures: Network-on-chip (NoC) architectures and protocols for heterogeneous multicores and heterogeneous applications; energy, latency, reliability, and security optimizations for NoCs; off-chip (chip-to-chip) network architectures and optimizations; large scale parallel and distributed network design, evaluation, and optimizations.

Programming models and tools: Programming paradigms and tools for heterogeneous systems; middleware and runtime systems; performance-abstraction tradeoff; interoperability of heterogeneous software environments; workflows; dataflows.

Modeling, characterization, and optimizations: Performance models and their use in the design of parallel and distributed algorithms for heterogeneous platforms, characterizations and optimizations for improving the time to solve a problem (throughput, latency, runtime), modeling and optimizing electric consumption (power, energy); modeling for failure management (fault tolerance, recovery, reliability); modeling for security in heterogeneous platforms.

Applications on heterogeneous systems: Case studies; confluence of Big Data systems and heterogeneous systems; data-intensive computing; deep learning; scientific computing.


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IMPORTANT DATES
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*Extended Paper submission: February 10, 2020
*Author notification: March 2, 2020
*Camera Ready: March 17, 2020

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PAPER SUBMISSIONS
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Submissions will be done through the EasyChair. The page limit is 10 pages. Please visit the HCW 2020 website (http://hcw.oucreate.com/) for instructions on how to submit.

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TECHNICAL PROGRAM COMMITTEE
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Florina M. Ciorba, University of Basel, Switzerland (TPC Chair)
Diana Göhringer, Technische Universität Dresden, Germany (Special Topic Session Chair)
Mohsen Amini, University of Louisiana Lafayette, USA (Publicity Chair)
Ioana Banicescu, Mississippi State University, USA
Sunita Chandrasekaran, University of Delaware, USA
Louis-Claude Canon, Université de Franche-Comté, France
Daniel Cordeiro, University of São Paulo, Brazil
Matthias Diener, University of Illinois at Urbana-Champaign, USA
Ryan Friese, Pacific Northwest National Laboratory, USA
Nicolas Grounds, MSCI, Inc., USA
Krishna Kavi, University of North Texas, USA
Jong-Kook Kim, Korea University, Korea
Alexey Lastovetsky, University College Dublin, Ireland
Hatem Ltaief, KAUST, Saudi Arabia
Mahdi Nikdast, Colorado State University, USA
Dana Petcu, West University of Timisoara, Romania
Laercio Lima Pilla, CNRS, France
Sridhar Radhakrishnan, University of Oklahoma, USA
Srishti Srivastava, University of Southern Indiana, USA
Achim Streit, Karlsruhe Institute of Technology, Germany
Samuel Thibault, LaBRI, Université Bordeaux, France
Devesh Tiwari, Northeastern University, USA