Description

The fourth edition of ESPM2 workshop, being proposed to be held as a full-day meeting with the Supercomputing (SC'2018) conference in Dallas, Texas focuses on programming models and runtimes for extreme scale systems. Next generation architectures and systems being deployed are characterized by high concurrency, low memory per-core, and multiple levels of hierarchy and heterogeneity. These characteristics bring out new challenges in energy efficiency, fault-tolerance and, scalability. It is commonly believed that software has the biggest share of the responsibility to tackle these challenges. In other words, this responsibility is delegated to the next generation programming models and their associated middleware/runtimes. This workshop focuses on different aspects of programming models such as task-based parallelism (Charm++, OCR, X10, HPX, etc), PGAS (OpenSHMEM, UPC, CAF, Chapel, UPC++, etc.), BigData (Hadoop, Spark, etc), Deep Learning (Caffe, Microsoft CNTK, Google TensorFlow), directive-based languages (OpenMP, OpenACC) and hybrid MPI+X, etc. It also focuses on their associated middleware (unified runtimes, interoperability for hybrid programming, tight integration of MPI+X, and support for accelerators and FPGAs) for next generation systems and architectures.

The ultimate objective of the ESPM2 workshop is to serve as a forum that brings together researchers from academia and industry working in the areas of programming models, runtime systems, compilation and languages, and application developers.

Schedule

Technical paper submission deadline September 14th, 2018 (11:59 PM, AoE)
Author notification October 1st, 2018
Camera-ready deadline October 7th, 2018 (11:59 PM, AoE)
Workshop Monday, November 12th, 2018

Call for paper

Important Dates

Draft paper submission deadline:2018-09-14

Call for paper description

The fourth edition of ESPM2 workshop, being proposed to be held as a full-day meeting with the Supercomputing (SC'2018) conference in Dallas, Texas focuses on programming models and runtimes for extreme scale systems. Next generation architectures and systems being deployed are characterized by high concurrency, low memory per-core, and multiple levels of hierarchy and heterogeneity. These characteristics bring out new challenges in energy efficiency, fault-tolerance and, scalability. It is commonly believed that software has the biggest share of the responsibility to tackle these challenges. In other words, this responsibility is delegated to the next generation programming models and their associated middleware/runtimes. This workshop focuses on different aspects of programming models such as task-based parallelism (Charm++, OCR, X10, HPX, etc), PGAS (OpenSHMEM, UPC, CAF, Chapel, UPC++, etc.), BigData (Hadoop, Spark, etc), Deep Learning (Caffe, Microsoft CNTK, Google TensorFlow), directive-based languages (OpenMP, OpenACC) and hybrid MPI+X, etc. It also focuses on their associated middleware (unified runtimes, interoperability for hybrid programming, tight integration of MPI+X, and support for accelerators and FPGAs) for next generation systems and architectures.

Topics of submission

Topics of interest to the ESPM2 workshop include (but are not limited to):

  • New programming models, languages and constructs for exploiting high concurrency and heterogeneity
  • Experience with and improvements for existing parallel languages and run-time environments such as:
    • MPI
    • PGAS (OpenSHMEM, UPC, CAF, Chapel, UPC++, etc.)
    • Directive-based programming (OpenMP, OpenACC)
    • Asynchronous Task-based models (Charm++, OCR, Habanero, Legion, X10, HPX, etc)
    • Hybrid MPI+X models
    • BigData (Hadoop, Spark, etc), and
    • Deep Learning (Caffe, Microsoft CNTK, Google TensorFlow)
  • Parallel compilers, programming tools, and environments
  • Software and system support for extreme scalability including fault tolerance
  • Programming environments for heterogeneous multi-core systems and accelerators such as KNL, OpenPOWER, ARM, GPUs, FPGAs, MICs and DSPs

Message

Leave a message

Refresh

Contact information

  • csaliba@computer.org

Sponsored By

  • Association for Computing Machinery - ACM
    IEEE Computer Society