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1-10 of 9299 Reviews with General Term: Performance
Lane compression: a lightweight lossless compression method for machine learning on embedded systems
Ko Y., Chadwick A., Bates D., Mullins R. ACM Transactions on Embedded Computing Systems 20(2): 1-26, 2021. Type: Article
Yonsun Ko’s paper presents an innovative approach to compressing machine learning models for use on embedded systems. The paper proposes lane compression, a new compression method that is specifically designed to be lightweight and lossless,...
May 17 2023
H-Container: enabling heterogeneous-ISA container migration in edge computing
Xing T., Barbalace A., Olivier P., Karaoui M., Wang W., Ravindran B. ACM Transactions on Computer Systems 39(1-4): 1-36, 2021. Type: Article
Xing et al. describe a novel approach to dealing with the difficulties posed by container migration in edge computing settings with heterogeneous instruction set architectures (ISAs). By putting forth a mechanism that permits effective and seamles...
May 10 2023
Multiple LDPC-encoder layered space-time-frequency architectures for OFDM MIMO multiplexing
Huang Y., Wang J. Wireless Personal Communications: An International Journal 63(4): 995-1012, 2012. Type: Article
For many, because of its influence in both everyday life and business, fourth-generation (4G) wireless communication has a distinguished place, where coupling orthogonal frequency-division multiplexing (OFDM) and multiple input, multiple output (M...
Apr 24 2023
Parallel-and-stream accelerator for computationally fast supervised learning
Hector E., Luo L., Song P. Computational Statistics & Data Analysis 177(1): 1-12, 2022. Type: Article
Large enterprises with massive amounts of data require reliable and efficient algorithms for exploring and forecasting trends in available supplies, user purchases, and advertisements. The scalability of the MapReduce approach is advantageous for ...
Feb 20 2023
On the model of computation: counterpoint: parallel programming wall and multicore software spiral: denial hence crisis
Vishkin U. Communications of the ACM 65(9): 32-34, 2022. Type: Article
Vishkin’s counterpoint to Dally  talks about what the model of computation should now be in light of multicore processors (and their programming difficulties) and parallel processing. His view recommends a new model of computation, other ...
Jan 24 2023
On the model of computation: point: we must extend our model of computation to account for cost and location
Dally W. Communications of the ACM 65(9): 30-32, 2022. Type: Article
The model of any process demonstrates its functionality and is useful for its study and analysis. For example, the Turing machine is a model for computation. However, the random-access machine (RAM) model is close to the architecture of serial pro...
Jan 23 2023
Declarative machine learning systems
Molino P., Ré C. Communications of the ACM 65(1): 42-49, 2022. Type: Article
This article presents future directions for how machine learning (ML) can be easily adopted across applications to take advantage of artificial intelligence (AI). In the past two decades, ML has been improving at a tremendous pace thanks to many c...
Jan 3 2023
Deep learning based single sample face recognition: a survey
Liu F., Chen D., Wang F., Li Z., Xu F. Artificial Intelligence Review 1(1): 1-26, 2022. Type: Article
Deep learning (DL) methods, and in particular convolutional neural networks (CNNs), provide the most used and most effective face recognition systems. However, when “each identity has only a single sample available for training,” perfo...
Dec 27 2022
Decision making and problem solving: a practical guide for applied research
Mohanty S., Springer International Publishing, Cham, Switzerland, 2021. 124 pp. Type: Book (978-3-030668-68-6)
The objective of the book as declared on its back cover: “The book offers guidance in identifying and applying accurate methods for designing a strategy as well as implementing these strategies in a real world.” The book’s seven ...
Sep 6 2022
Computer networks: a systems approach (6th ed.)
Peterson L., Davie B., Morgan Kaufmann, Cambridge, MA, 2021. 848 pp. Type: Book (978-1-281820-08-2)
These days networking is not as hot a buzzword in information technology (IT) as many others, such as artificial intelligence (AI) or machine learning; nevertheless, without networking, there would be neither AI nor machine learning. T...
Aug 10 2022
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