Conference Information

ISPASS 2027: International Symposium on Performance Analysis of Systems and Software

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Submission Date:
2026-12-11 Due in 45 days
Notification Date:
2027-03-08
Conference Date:
2027-05-09
Location:
New York City, New York, USA
Years:
CCF: C   ICORE: B   QUALIS: B1   Viewed: 39408   Tracked: 49   Attend: 7
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ISPASS
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Conference Partner Index (CP-I)

55.3 / 100
Ranked #872 of 5,761 conferences · Top 16%

#87 of 248 in Software Engineering

Academic recognition (35%)
78
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
19
Community attention (10%)
60
Public record completeness (15%)
55

Inputs used: Listed as CCF C, ICORE B, QUALIS B1 · Editions on record: 1 · Researchers following it here: 49 · Researchers who opened this page in the past 24 months: 19

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-10-27

Call For Papers

ISPASS 2027 (International Symposium on Performance Analysis of Systems and Software) is a CCF C / ICORE B / QUALIS B1 conference held in New York City, New York, USA on 2027-05-09. The paper submission deadline is 2026-12-11. Acceptance notifications are sent on 2027-03-08.

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. Authors are invited to submit previously unpublished work for possible presentation at the conference. ISPASS 2027 will be held in New York City on May 9–11, 2027. Topics of interest Papers are solicited in fields that include the following. Methodology Performance and efficiency (power, area, and so on) evaluation methodologies Analytical modelling Statistical approaches Tracing and profiling tools Simulation techniques Hardware-accelerated simulation, for example on FPGAs Hardware performance counter architectures Power, temperature, variability and reliability models for computer systems Microbenchmark-based hardware analysis techniques Foundations of performance and efficiency analysis Metrics Bottleneck identification and analysis Visualization 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 Analysis of emerging workloads and software Software written in managed languages Virtualization and consolidation workloads Datacenter and internet-sector workloads Embedded, multimedia, games, telepresence Machine learning training and inference workloads Application and system code tuning and optimization Confirmations or refutations of important prior results
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