Conference Information
PACT 2020: International Conference on Parallel Architectures and Compilation Techniques
https://pact20.cc.gatech.edu
Submission Date:
2020-04-17 Extended
Notification Date:
2020-07-15
Conference Date:
2020-10-03
Location:
Atlanta, Georgia, USA
Years:
29
CCF: b   CORE: a   QUALIS: a2   Viewed: 13066   Tracked: 62   Attend: 5

Conference Location
Call For Papers
PACT is a long-running and unique conference at the intersection of classical parallel architectures and compilers that brings together researchers from architecture, compilers, programming languages, and applications to present and discuss their latest research results. Applications as a driver for innovations in architecture and compilers are an important theme of the conference.

We solicit contributions in a broad range of topics, including (but not limited to) the following:

        Parallel architectures and computational models
        Compilers and tools for parallel computer systems
        Multicore, multithreaded, superscalar, and VLIW architectures
        Compiler/hardware support for hiding memory latencies
        Support for correctness in hardware and software
        Reconfigurable parallel computing
        Dynamic translation and optimization
        I/O issues in parallel computing and their relation to applications
        Parallel programming languages, algorithms and applications
        Middleware and run time system support for parallel computing
        Application-specific parallel systems
        Applications and experimental systems studies of parallel processing
        Relevant aspects of distributed computing and mobile computing
        Heterogeneous systems using various types of accelerators
        Insights for the design of parallel architectures and compilers from modern parallel applications (e.g., machine learning, data analytics, and computational biology)
        Future parallel systems for beyond Moore’s law and/or beyond Exascale
        Security issues in parallel computing
        Compiler techniques for Quantum computing
Last updated by Dou Sun in 2020-03-20
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
20051193025.2%
20041222318.9%
20031442416.7%
20021192521%
20011262620.6%
20001072927.1%
19991143530.7%
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