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All CFPs on WikiCFP | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Present CFP : 2026 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 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 Authors are invited to submit previously unpublished work for possible presentation at the conference.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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