[hpc-announce] DEADLINE EXTENDED: IEEE ISPASS Call for Papers

Lee, Angelina angelee at wustl.edu
Sun Oct 6 23:51:21 CDT 2019


The deadlines for IEEE ISPASS'20 abstract and final paper submissions
have been extended.

Updated Dates
* Paper abstract submission: October 10, 2019, 11:59:59 PM Eastern Time
* Full submission: October 17, 2019, 11:59:59 PM Eastern Time
* Rebuttal: December 18-20, 2019
* Notification: January 14, 2020
* Conference: April 5-7, 2020

Conference Website: https://www.ispass.org/ispass2020/

The Original Call for papers attached below.
=========================================================

The IEEE International Symposium on Performance Analysis of Systems and
Software (ISPASS) provides a forum for sharing advanced academic and
industrial research work focused on performance analysis in the design of
computer systems and software.  ISPASS 2020 will be held April 5 through 7,
2020 in Boston, Massachusetts. Authors are invited to submit previously
unpublished work for possible presentation at the conference.

URL: https://www.ispass.org/ispass2020/

Papers are solicited in fields that include the following:
* Performance and power evaluation methodologies
    - Analytical modeling
    - Statistical approaches
    - Tracing and profiling tools
    - Simulation techniques
    - Hardware (e.g., FPGA) accelerated simulation
    - Hardware performance counter architectures
    - Power, temperature, variability and/or reliability models
        for computer systems
    - Microbenchmark-based hardware analysis techniques
* Foundations of performance and power analysis
    - Metrics
    - Bottleneck identification and analysis
    - Visualization
* Power/Performance analysis of commercial and experimental hardware
    - Multi-threaded, multicore and many-core architectures
    - Accelerators and graphics processing units
    - Memory systems, including storage-class memory
    - Embedded and mobile systems
    - Enterprise systems and data centers
    - Supercomputers
    - Computer networks
* Power/Performance analysis of emerging workloads and software
    - Software written in managed languages
    - Virtualization and consolidation workloads
    - Internet-sector workloads
    - Embedded, multimedia, games, telepresence
    - Deep learning and convolutional neural networks
* Application and system code tuning and optimization
* Confirmations or refutations of important prior results

In addition to research papers, ISPASS welcomes tool and benchmark papers.
The conference is an ideal forum to publicize new tools and benchmarks for the
community.  These papers, which can detail tools and benchmarks in any of the
above fields of interest, will be judged primarily on their potential impact
and use, rather than on their research contribution.


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