https://www.mdpi.com/journal/futureinternet/special_issues/9F9PQOXFQ0

Guest Editors:

Dr. Xingda Wei
Prof. Massimo Cafaro



Special Issue Information

Dear Colleagues,

Thanks to the scalability provided by parallel and distributed systems, they have become the foundational building blocks in daily computing services. Nevertheless, recent years have seen significant workloads and hardware shifts in traditional distributed systems, which calls for new system designs. First, AI workloads represented by large language model training and serving have emerged, which require substantial computational power that can be provided by a parallel system. Second, the hardware infrastructure for parallel systems has become more heterogeneous with the emergence of accelerators like GPUs.

The aim of this Special Issue is to provide an overview of the latest developments in parallel and distributed systems. Both theoretical and practical aspects are of interest.

Topics of interest include, but are not limited to, the following:

Parallel and distributed systems for large language models (both training and inference);
Parallel and distributed systems under the heterogeneous hardware (both accelerators, e.g., GPU, or networks, e.g., NVLink and RDMA);
Data management in parallel and distributed systems;
Methods for building distributed and parallel infrastructure (e.g., both hardware and clusters);
Debug or verify the correctness of parallel systems;
Efficient and scalable distributed systems;
Reliable parallel and distributed systems;
Experiences building and benchmarking parallel and distributed systems;
Methods for automatic parallelism for programs.
Dr. Xingda Wei
Prof. Dr. Massimo Cafaro
Guest Editors


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Keywords

parallel and distributed systems
reliability
heterogeneous computing
scalability
benchmarking


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