会議情報
ISPASS 2023: International Symposium on Performance Analysis of Systems and Software
https://ispass.org/ispass2023/
提出日:
2022-11-29
通知日:
2023-02-28
会議日:
2023-04-22
場所:
Raleigh, North Carolina, USA
CCF: c   CORE: c   QUALIS: b1   閲覧: 19657   追跡: 42   出席: 6

論文募集
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 2023 will be held in April, 2023 in Raleigh, North Carolina. Authors are invited to submit previously unpublished work for possible presentation at the conference.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
        Quantum computing
        Emerging technologies

    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

In addition to research papers, ISPASS welcomes tool and benchmark paper submissions. The conference is an ideal forum to introduce new tools and benchmarks to the community. These papers, which can detail tools and benchmarks in the above fields of interest, will be judged primarily on their potential to enable and amplify future research.
最終更新 Dou Sun 2022-11-04
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