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ISPASS 2026: International Symposium on Performance Analysis of Systems and Software

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ISPASS
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截稿日期:
2025-12-05
通知日期:
2026-02-23
会议日期:
2026-04-26
会议地点:
Seoul, South Korea
CCF: C   ICORE: B   QUALIS: B1   浏览: 38796   关注: 49   参加: 7

会伴指数 (CP-I)

58.0 / 100
全站第 679 名 / 共 5,687 个会议 · 前 12%

软件工程 第 76 / 247

学术认可 (35%)
78
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
55
资料公开度 (15%)
35

用到的输入: 收录等级：CCF C, ICORE B, QUALIS B1 · 在会伴关注它的研究者：49 人 · 过去 24 个月打开过本页的研究者：9 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 60% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-25

征稿

ISPASS 2026 (International Symposium on Performance Analysis of Systems and Software) is a CCF C / ICORE B / QUALIS B1 conference held in Seoul, South Korea on 2026-04-26. The paper submission deadline is 2025-12-05. Acceptance notifications are sent on 2026-02-23.

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 2026 will be held on April 26-28, 2026 in Seoul, South Korea. Authors are invited to submit previously unpublished work for possible presentation at the conference.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, which should be clearly motivated in the paper. We also expect that authors of accepted tools/benchmark papers open-source their tool/benchmark before the conference.
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