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ACM Transactions on Embedded Computing Systems
  1-10 of 44 reviews Date Reviewed 
   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
  Block Walsh-Hadamard transform based binary layers in deep neural networks
Pan H., Badawi D., Cetin A. ACM Transactions on Embedded Computing Systems 1(1): 1-26, 2022.  Type: Article

Convolution is a mathematical operation that calculates the integral of the product of two functions or signals with one of the signals flipped. Modern deep neural networks consider convolution as the core operation; it is a technique for function...

Jan 17 2023
  Edge intelligence: concepts, architectures, applications and future directions
Mendez J., Bierzynski K., Cuéllar M., Morales D. ACM Transactions on Embedded Computing Systems 1(1): 1-38, 2022.  Type: Article

Nowadays, cyber-physical systems are omnipresent. Internet of Things (IoT) devices give physical sensing to computers. However, they also pose serious architectural challenges due to a number of reasons: they usually have different (and limited) c...

Dec 28 2022
  Scratchpad-memory management for multi-threaded applications on many-core architectures
Venkataramani V., Chan M., Mitra T. ACM Transactions on Embedded Computing Systems 18(1): 1-28, 2019.  Type: Article

This paper focuses on improving many-core architectures via software programmable or scratchpad memory (SPM):...

Oct 7 2020
  Overcoming security vulnerabilities in deep learning-based indoor localization frameworks on mobile devices
Tiku S., Pasricha S. ACM Transactions on Embedded Computing Systems 18(6): 1-24, 2019.  Type: Article

This paper analyzes “the vulnerability of a convolutional neural network (CNN)–based indoor localization solution.” The authors “propose a novel methodology to maintain indoor localization accuracy ... in ...

Apr 22 2020
   Schedulability analysis of tasks with corunner-dependent execution times
Andersson B., Kim H., de Niz D., Klein M., Rajkumar R., Lehoczky J. ACM Transactions on Embedded Computing Systems 17(3): 1-29, 2018.  Type: Article

Scarce computer memory and processor core resources create crucial challenges to the real-time execution of concurrent software. How should a multicore processor be efficiently programmed to process concurrent software with different e...

Nov 22 2019
  Data-driven synchronization for Internet-of-Things systems
Bennett T., Gans N., Jafari R. ACM Transactions on Embedded Computing Systems 16(3): 1-24, 2017.  Type: Article

Time synchronization has been an active issue for decades. Stricter timing, energy considerations, external influences, and so on have spurred new studies. Two variants can be found: synchronize the clocks of distributed devices or pro...

Feb 13 2018
  An indoor test methodology for solar-powered wireless sensor networks
Tan W., Sullivan P., Watson H., Slota-Newson J., Jarvis S. ACM Transactions on Embedded Computing Systems 16(3): 1-25, 2017.  Type: Article

Reliable hardware and algorithms for solar-powered wireless sensor networks (WSNs) require precise and reproducible indoor tests. But how should repeatable indoor tests of solar-powered WSNs be performed without the use of costly solar...

Dec 21 2017
  Parallel programming patterns for multi-processor SoC: application to video processing
Paulin P., Özcan A., Gagné V., Lavigueur B., Benny O. ACM Transactions on Embedded Computing Systems 12(1s): 1-25, 2013.  Type: Article

Parallel computing emerged during the 1980s and, although multiprocessor and multicomputer architectures offered the potential of dramatic increases in processing power, the potential was rarely realized due to lack of programming tool...

Aug 1 2013
  A hybrid genetic algorithm for the bottleneck traveling salesman problem
Ahmed Z. ACM Transactions on Embedded Computing Systems 12(1): 1-10, 2013.  Type: Article

The bottleneck traveling salesman problem (BTSP) refers to the challenge of finding a Hamiltonian circuit that minimizes the largest cost of any of the arcs in the circuit. This paper describes a hybrid genetic algorithm (HGA) that eff...

May 10 2013
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