About |
In the last 5 years, the remarkable performance achieved in a variety of application areas (natural language processing, computer vision, games, etc.) has led to the emergence of heterogeneous architectures to accelerate machine learning workloads. In parallel, production deployment, model complexity and diversity pushed for higher productivity systems, more powerful programming abstractions, software and system architectures, dedicated runtime systems and numerical libraries, deployment and analysis tools. Deep learning models are generally memory and computationally intensive, for both training and inference. Accelerating these operations has obvious advantages, first by reducing the energy consumption (e.g. in data centers), and secondly, making these models usable on smaller devices at the edge of the Internet. In addition, while convolutional neural networks have motivated much of this effort, numerous applications and models involve a wider variety of operations, network architectures, and data processing. These applications and models permanently challenge computer architecture, the system stack, and programming abstractions. The high level of interest in these areas calls for a dedicated forum to discuss emerging acceleration techniques and computation paradigms for machine learning algorithms, as well as the applications of machine learning to the construction of such systems. |
Call for Papers |
Topics of interest include (but are not limited to):
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Summary |
AccML 2020 : 2nd Workshop on Accelerated Machine Learning will take place in Valencia, Spain. It’s a 1 day event starting on May 31, 2020 (Sunday) and will be winded up on May 31, 2020 (Sunday). AccML 2020 falls under the following areas: COMPUTER ARCHITECTURE, COMPUTER SYSTEMS, ACCELERATORS, MACHINE LEARNING, etc. Submissions for this Workshop can be made by May 01, 2020. Authors can expect the result of submission by May 15, 2020. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the AccML 2020
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Credits and Sources |
[1] AccML 2020 : 2nd Workshop on Accelerated Machine Learning |