Conference Information
PACT 2025: International Conference on Parallel Architectures and Compilation Techniques
https://pact2025.github.io/indexSubmission Date: |
2025-04-11 |
Notification Date: |
2025-07-28 |
Conference Date: |
2025-11-03 |
Location: |
Irvine, California, USA |
Years: |
34 |
CCF: b CORE: a QUALIS: a2 Viewed: 28536 Tracked: 86 Attend: 7
Call For Papers
Scope The International Conference on Parallel Architectures and Compilation Techniques (PACT) is a unique technical conference at the intersection of hardware and software, with a special emphasis on parallelism. PACT brings together researchers from computer architectures, compilers, execution environments, programming languages, and applications to present and discuss their latest research results, tools, and practical experiences. PACT 2025 will be held as an in-person event in Irvine, California, USA. We encourage all authors of accepted papers to participate, and at least one author must attend the conference. PACT seeks submissions in two categories: Research Papers Tools and Practical Experience (TPE) Papers Topics of Interest PACT welcomes submissions on topics including, but not limited to: Parallel architectures, including accelerators for AI and other domains Compilers and tools for parallel architectures Applications and experimental studies of parallel processing Computational models for concurrent execution Multicore, multithreaded, superscalar, and VLIW architectures Compiler and hardware support for reducing memory latencies Support for correctness in hardware and software Reconfigurable parallel computing Dynamic translation and optimization I/O issues in parallel computing and their application impact Parallel programming languages, algorithms, and applications Middleware and runtime system support for parallel computing Application-specific parallel systems Distributed computing architectures and systems Heterogeneous systems leveraging various accelerators In-core and in-chip accelerators and their optimization Applications of machine learning to parallel computing Large-scale data processing, including in-memory computing accelerators Insights from modern parallel applications for architecture and compiler design
Last updated by Dou Sun in 2025-03-09
Acceptance Ratio
Year | Submitted | Accepted | Accepted(%) |
---|---|---|---|
2005 | 119 | 30 | 25.2% |
2004 | 122 | 23 | 18.9% |
2003 | 144 | 24 | 16.7% |
2002 | 119 | 25 | 21% |
2001 | 126 | 26 | 20.6% |
2000 | 107 | 29 | 27.1% |
1999 | 114 | 35 | 30.7% |
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Advanced Modeling and Simulation in Engineering Sciences | 2.000 | Springer |
Human–Computer Interaction | Taylor & Francis | |
Journal of the American Society for Information Science and Technology | 2.800 | John Wiley & Sons, Ltd. |
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Security and Privacy | 1.500 | John Wiley & Sons Ltd |
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