Computer Architecture and Parallel Computing

Dear Colleagues,

In the face of escalating computing demands, particularly in the era of large language model (LLM)-based applications, the necessity for efficient and scalable solutions has grown. These solutions must effectively leverage parallelism and optimized hardware architectures. To ensure dependable and sustainable computational support, it is imperative to encompass key innovations in new hardware designs for high-performance computing architectures. These include aspects like networking, distributed systems, multi-core processors, and accelerators. Equally vital are the software techniques that unlock their complete potential, such as parallel applications and algorithms, performance assessment and modeling, as well as power and thermal management.

This Special Issue is dedicated to presenting cutting-edge research and advancements that tackle the challenges and opportunities inherent in these domains. Beyond that, it aims to foster a platform for the exchange of ideas and insights that will significantly influence the trajectory of computing in the future.

We encourage submissions covering a wide range of topics related to Computer Architecture and Parallel Computing, including but not limited to:

1. Novel Processor Architectures: Exploration of innovative CPU, GPU, FPGA, and accelerator designs to improve performance, energy efficiency, and specialization for various workloads.
2. Memory Hierarchy and Storage Systems: Techniques for designing efficient memory hierarchies, cache coherence, memory consistency, and storage systems that accommodate the demands of parallel applications.
3. Parallel Programming Models and Languages: Research on programming languages, libraries, and frameworks that facilitate the development of parallel software while ensuring optimal resource utilization.
4. Multi-core and Many-core Systems: Investigations into the design, programming, and management of systems with multiple cores or many-core processors, including challenges in communication and synchronization.
5. Parallel Algorithms and Applications: Development of algorithms that leverage parallelism for tasks such as data analytics, machine learning, scientific simulations, and more.
6. Performance Evaluation and Benchmarking: Methodologies for assessing the performance of parallel systems, including benchmark suites and metrics that reflect real-world computing scenarios.
7. Power and Thermal Management: Strategies for managing power consumption and heat dissipation in parallel computing environments to ensure sustainability and reliability.
8. Emerging Technologies: Exploration of emerging technologies like quantum computing and neuromorphic architectures in the context of parallel computing.

Dr. Qiang Wang
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.