Conference Information
ISPASS 2021: International Symposium on Performance Analysis of Systems and Software
http://www.ispass.org/ispass2021/
Submission Date:
2020-10-23
Notification Date:
2021-02-08
Conference Date:
2021-03-28
Location:
Stony Brook, New York, USA
CCF: c   CORE: c   QUALIS: b1   Viewed: 10305   Tracked: 26   Attend: 4

Conference Location
Call For Papers
 The IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) provides a forum for sharing advanced academic and industrial research focused on performance analysis in the design of computer systems and software. ISPASS 2021 will be held on March 28-30, 2021 in Stony Brook, NY (USA). Authors are invited to submit previously unpublished work for possible presentation at the conference.

Papers are solicited in fields that include the following:

    Performance and efficiency (power, area, etc.) 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 efficiency analysis
        Metrics
        Bottleneck identification and analysis
        Visualization

    Efficiency and 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
        HPC and Supercomputers
        Computer networks

    Efficiency and performance analysis of emerging workloads and software
        Software written in managed languages
        Virtualization and consolidation workloads
        Datacenter, 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
Last updated by Dou Sun in 2020-09-30
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