The ACM Transactions on Architecture and Code Optimization (TACO) is a Gold Open Access Journal that focuses on hardware, software, and system research spanning the fields of computer architecture and code optimization. Articles that appear in TACO present new techniques and concepts or report on experiences and experiments with actual systems. Insights useful to computer architects, hardware or software developers, system designers and tool builders are emphasized. This journal is published on a quarterly basis.

Among the topics within the scope of TACO are the following:

Computer system architectures and processor architectures, including multiprocessors and multithreaded computers
Interaction of operating systems, compilers, programming languages, and architecture
Feedback-Directed Software/Hardware Optimization
Dynamic compilation, adaptive execution, and continuous profiling/optimization
Virtual machine, binary translation hardware, and software optimizations
Compiler optimizations that exploit instruction level parallelism, such as software pipelining, global scheduling, register allocation, and memory disambiguation
Advanced software and hardware speculation, prediction, and predication techniques
High-performance microarchitecture innovation (e.g., VLIW, superscalar, multithreaded, etc.)
Architectures and compilers for embedded processors, application specific processors and DSPs, including network and router architectures
Memory system optimization
Parallel processing
Architecture or compiler-based power and energy optimization
Application characterization and architectural implications
Performance evaluation and measurement of real systems
Papers of interest to the SIGMICRO, SIGARCH, and SIGPLAN community