ACM Transactions on Reconfigurable Technology and Systems

Aims & Scope

TRETS is the top journal focusing on research in, on, and with reconfigurable systems and on their underlying technology.

The scope, rationale, and coverage by other journals are often limited to particular aspects of reconfigurable technology or reconfigurable systems.

TRETS is a journal that covers reconfigurability in its own right.

Topics that would be appropriate for TRETS would include all levels of reconfigurable system abstractions and all aspects of reconfigurable technology including platforms, programming environments and application successes that support these systems for computing or other applications. -The board and systems architectures of a reconfigurable platform. -Programming environments of reconfigurable systems, especially those designed for use with reconfigurable systems that will lead to increased programmer productivity. -Languages and compilers for reconfigurable systems. -Logic synthesis and related tools, as they relate to reconfigurable systems. -Applications on which success can be demonstrated.

The underlying technology from which reconfigurable systems are developed. (Currently this technology is that of FPGAs, but research on the nature and use of follow-on technologies is appropriate for TRETS.) In considering whether a paper is suitable for TRETS, the foremost question should be whether reconfigurability has been essential to success.

Topics such as architecture, programming languages, compilers, and environments, logic synthesis, and high performance applications are all suitable if the context is appropriate.

For example, an architecture for an embedded application that happens to use FPGAs is not necessarily suitable for TRETS, but an architecture using FPGAs for which the reconfigurability of the FPGAs is an inherent part of the specifications (perhaps due to a need for re-use on multiple applications) would be appropriate for TRETS.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.8
2024	3.10

SJR (SCImago Journal Rank)

Year	Value
2024	0.621

Quartile

Year	Value
2024	Q2

Journal Rank

Year	Value
2024	9323

Journal Citation Indicator

Year	Value
2024	396

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• FINN- <i>R</i>

  Citation: 328

  Authors: Michaela, Thomas B., Nicholas J., Giulio, Kenneth, Yaman, Miriam, Kees

• VTR 7.0

  Citation: 303

  Authors: Jason, Jeffrey, Michael, Andrew, Thien, Konstantin, Miad, Sen, Tim, Nooruddin, Kenneth B., Jason, Jonathan, Vaughn

• VTR 8

  Citation: 252

  Authors: Kevin E., Oleg, Sheng, Jia Min, Mohamed, Jean-Philippe, Eugene, Aaron G., Jean, Matthew J. P., Hanqing, Panagiotis, Jason, Kenneth B., Vaughn

• [DL] A Survey of FPGA-based Neural Network Inference Accelerators

  Citation: 196

  Authors: Kaiyuan, Shulin, Jincheng, Yu, Huazhong

• Techniques for Design and Implementation of Secure Reconfigurable PUFs

  Citation: 154

  Authors: Mehrdad, Farinaz, Miodrag

• FPGA HLS Today: Successes, Challenges, and Opportunities

  Citation: 122

  Authors: Jason, Jason, Gai, Stephen, Peichen, Kees, Zhiru

• The Future of FPGA Acceleration in Datacenters and the Cloud

  Citation: 111

  Authors: Christophe, Joel Mandebi, Paul, Mohammad, Naif, Juan Camilo, Ken, Dirk, Suranga, Miriam, Martin, Hafsah, Peter, Burkhard, Jakub, Ahmed, Russell

• RIFFA 2.1

  Citation: 101

  Authors: Matthew, Dustin, Matthew, Ryan

• Timing-Driven Titan

  Citation: 92

  Authors: Kevin E., Scott, Suya, Jason, Vaughn

• Performance of partial reconfiguration in FPGA systems

  Citation: 90

  Authors: Kyprianos, Apostolos, Scott

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