Architecture and Code Optimization - Impact Factor

ACM Transactions on Architecture and Code Optimization | 2024 Impact Factor:1.8 | Cite Score:3.9 | Q2

ACM Transactions on Architecture and Code Optimization Journal

Impact Factor and Journal Rank of ACM Transactions on Architecture and Code Optimization

About: ACM Transactions on Architecture and Code Optimization (TACO) is a pioneering journal dedicated to groundbreaking research at the intersection of computer architecture and code optimization. It serves as a leading platform for the dissemination of innovative ideas and transformative research in these critical areas.
Impact and Significance
ACM Transactions on Architecture and Code Optimization stands out for its commitment to fostering out-of-the-box, creative ideas that redefine the landscape of computer architecture and code optimization:
Innovative Solutions: The journal publishes pioneering research that introduces new paradigms and methodologies to address complex optimization challenges.
Cross-Disciplinary Approach: It encourages collaboration between computer scientists, electrical engineers, mathematicians, and other disciplines to explore unconventional solutions.
Practical Applications: Research published in TACO has significant implications for industries relying on high-performance computing, embedded systems, and beyond.
Global Reach: As a respected publication in the ACM digital library, TACO ensures global visibility and impact for its published works.
Community Engagement: The journal fosters a vibrant community of researchers dedicated to advancing the frontiers of architecture and code optimization.
Types of Articles Accepted
TACO welcomes a range of contributions that showcase originality and transformative potential:
Research Articles: Cutting-edge research that introduces new algorithms, methodologies, or architectures.
Survey Articles: Comprehensive reviews that synthesize existing knowledge and outline future research directions.
Experimental Studies: Rigorous evaluations and empirical studies validating proposed optimization techniques.
Case Studies: Real-world applications demonstrating the effectiveness of architectural and code optimization strategies.
Tool Descriptions: Descriptions of innovative tools and frameworks that facilitate advanced optimization.
Special Issues: Thematic collections addressing emerging topics or challenges in architecture and code optimization.

Journal Home: Journal Homepage

Editor-in-Chief: David R. Kaeli

Scope: The journals scope includes, but is not limited to:
Novel Architectures: Exploration and design of unconventional computing architectures that push the boundaries of performance and efficiency.
Advanced Compilation Techniques: Development of next-generation compilation techniques that optimize code for diverse architectures and workloads.
Hardware-Software Co-Design: Innovations in co-design methodologies that enhance the synergy between hardware architecture and software optimization.
Energy-Efficient Computing: Research focused on minimizing energy consumption through architectural innovations and optimized code.
Parallelism and Scalability: Techniques for harnessing parallelism and achieving scalable performance across various computing platforms.
Emerging Technologies: Exploration of emerging technologies such as quantum computing and neuromorphic computing, and their optimization challenges.
Performance Evaluation: Methods for rigorous evaluation and benchmarking of architectural and code optimization techniques.