Special Issue "GPU based Applications in Machine Learning"
A special issue of Computers (ISSN 2073-431X).
Deadline for manuscript submissions: 30 September 2022 | Viewed by 192
Interests: artificial intelligence; machine learning and deep neural network algorithms; deep compression of machine learning; explainable AI (XAI); high performance computing algorithms and acceleration; computation systems and algorithm modeling and simulations
Special Issues, Collections and Topics in MDPI journals
In the last decade, machine learning has emerged as an essential tool for a tremendous number of applications, such as computer vision, medicine, fintech, autonomous systems, speech recognition, and many others. Machine learning models offer state-of-the-art accuracy and robustness in many applications. The increasing deployment of machine learning algorithms introduces major computational challenges due to the growing amount of data, and due to the major growth in their model size and complexity. With the current challenges, the need for processing performance and throughput is significantly intensified. General-purpose CPUs that are designed for diverse applications cannot effectively satisfy the growing processing needs of machine learning applications. While general-purpose CPUs struggle when operating on a large amount of data, general-purpose graphics processing units (GP-GPUs) have evolved to handle a massive degree of parallel computations using thousands of relatively small processing cores. Thereby, GPUs can offer machine learning applications several orders of magnitude speedup over traditional CPUs. GPUs also introduce large memory bandwidth to satisfy the dataflow processing needs. These properties make GPUs ideal platforms to deal with the computational challenges of machine learning applications.
This Special Issue is looking for novel developments in GPU-based applications in machine learning such as:
- Machine learning applications using GPUs in domains such as autonomous driving, healthcare, medical imaging, fighting disease, drug discovery, environmental science, climate science, and more;
- Tiny-GPU machine learning applications;
- High-performance computing applications;
- IoT and edge devices;
- Cloud computing;
- Computational optimization for machine learning using GPUs;
- Machine learning software libraries for GPUs;
- Simulation and modeling of GPUs for machine learning applications.
Prof. Dr. Freddy Gabbay
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computers is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 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.
- Machine learning
- Graphics processing unit (GPU)