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: 35889 Tracked: 87 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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|---|---|---|---|---|
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| Full Name | Impact Factor | Publisher |
|---|---|---|
| ACM Transactions on Architecture and Code Optimization | 1.500 | ACM |
| Journal of Parallel and Distributed Computing | 3.400 | Elsevier |
| International Journal of New Computer Architectures and their Applications | SDIWC | |
| Archives of Computational Methods in Engineering | 12.1 | Springer |
| Proceedings of the ACM in Computer Graphics and Interactive Techniques | 1.400 | ACM |
| ACM Transactions on Parallel Computing | 0.900 | ACM |
| Parallel Computing | 2.0 | Elsevier |
| Journal of Computer Virology and Hacking Techniques | 1.500 | Springer |
| International Journal of Managing Public Sector Information and Communication Technologies | AIRCC | |
| Ethics and Information Technology | 3.400 | Springer |