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ACM Transactions on Architecture and Code Optimization

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ACM Transactions on Architecture and Code Optimization
TitleACM Transactions on Architecture and Code Optimization
AbbreviationTACAO
DisciplineComputer architecture, software optimization
PublisherAssociation for Computing Machinery
CountryUnited States
FrequencyQuarterly
History2004–present
Issn1544-3566

ACM Transactions on Architecture and Code Optimization is a peer-reviewed scientific journal covering research on computer architecture and program optimization. Published by the Association for Computing Machinery, the journal sits alongside other ACM titles in disseminating work that intersects hardware design, compiler technology, and performance engineering. Authors and readers include researchers affiliated with institutions such as Massachusetts Institute of Technology, Stanford University, University of California, Berkeley, Carnegie Mellon University, and industrial laboratories like Intel Corporation, IBM, and Google.

History

The journal was established in 2004 within the publishing portfolio of the Association for Computing Machinery during a period of renewed interest in heterogeneous computing championed by groups at University of Illinois at Urbana–Champaign and California Institute of Technology. Early editorial leadership drew on figures connected to conferences such as International Symposium on Computer Architecture and Programming Language Design and Implementation, and on projects funded by agencies including the National Science Foundation, Defense Advanced Research Projects Agency, and European Research Council. Throughout the 2000s and 2010s the journal paralleled developments at laboratories like Hewlett-Packard Laboratories, Microsoft Research, and Bell Labs while reflecting trends from workshops at Supercomputing Conference, International Conference on Parallel Architectures and Compilation Techniques, and Symposium on Principles of Programming Languages.

Scope and Topics

The journal emphasizes work on processor microarchitecture, memory systems, compiler optimizations, and runtime systems influenced by efforts at NVIDIA, ARM Holdings, Advanced Micro Devices, and research teams at Lawrence Berkeley National Laboratory. Typical topics intersect projects from RISC-V International, studies of multicore design akin to those at SRI International, and investigations into vectorization inspired by Cray Research. Readers encounter articles on speculative execution debates related to incidents like the Meltdown and Spectre disclosures, power- and energy-aware design approaches aligning with initiatives at Oak Ridge National Laboratory, and co-design case studies similar to collaborations between Los Alamos National Laboratory and vendors. Cross-cutting themes include autotuning techniques parallel to efforts at Google DeepMind, hardware/software codesign resembling work at European Organization for Nuclear Research, and performance modelling methods used by teams at NASA Ames Research Center.

Publication and Editorial Practices

The journal follows standard peer-review workflows comparable to those of IEEE Transactions on Computers and editorial boards populated by researchers from Princeton University, University of Washington, ETH Zurich, Imperial College London, and Tsinghua University. Submission procedures mirror policies used by venues like ACM SIGPLAN and ACM SIGARCH, with turnaround and revision cycles influenced by editorial practices at Nature Communications and Science Advances. Special issues have been guest-edited by scholars connected to programs at Max Planck Society and CNRS, and the journal’s ethical and conflict-of-interest policies reflect guidelines similar to those of Committee on Publication Ethics.

Abstracting and Indexing

The journal is abstracted and indexed by major services comparable to Web of Science, Scopus, DBLP, Google Scholar, and subject indexes used by libraries such as the Library of Congress and bibliographic collections at IEEE Xplore. Institutional repositories at universities like Columbia University and University of Michigan routinely list articles in their collections, and citation analyses often reference metrics associated with databases curated by Clarivate Analytics and Elsevier.

Impact and Reception

Work published in the journal has influenced practice and research cited by authors from Intel Labs, ARM Research, Broadcom, and academic groups at University of Cambridge and University of Oxford. Impact assessments draw on citation patterns similar to those used in evaluations at National Academy of Sciences committees and funding review panels at European Commission programs. Articles have informed curriculum and graduate courses at institutions including Delft University of Technology and Tokyo Institute of Technology, and findings have been summarized in surveys presented at conferences like International Conference on Architectural Support for Programming Languages and Operating Systems and International Symposium on Code Generation and Optimization.

Notable Articles and Special Issues

Notable contributions include special issues and articles addressing topics resonant with high-impact projects at Google Research, explorations of JIT compilation strategies linked to work from Oracle Corporation, and studies on energy-efficient architectures in the spirit of initiatives at Siemens AG. The journal has published pieces that the research community has contrasted with seminal works appearing in venues such as ACM Computing Surveys and Communications of the ACM, and special issues have highlighted themes championed by centers like Berkeley Lab and consortia such as OpenPOWER Foundation.

Category:Computer architecture journals Category:Association for Computing Machinery journals