ACM Transactions on Architecture and Code Optimization

Aims & Scope✦ Inferred from recent articles

This journal focuses on the architecture and optimization of computer systems, particularly concerning performance, efficiency, and reliability. It covers topics such as key-value stores, deep neural network compilers, cloud benchmarking, vector processors, solid-state drive failure prediction, load request acceleration, sparsity in deep learning, power management, distributed file systems, graph sampling, microservice management, and memory safety on GPUs. The research also addresses challenges in binary translation, approximate graph pattern mining, and the optimization of graph neural networks on various hardware platforms.

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Source: OpenAlex · Note: citations accumulate over time so older years appear higher

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Subject Classification