Arya Daroui, Rainer Dömer, "A Loosely-Timed TLM-2.0 Model of a JPEG Encoder on a Checkerboard GPC", CECS TR 22-04, posted on January 2, 2023
TR 22-04
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TR 22-03
Yutong Wang, Rainer Dömer, "A Scalable SystemC Model of a Checkerboard Grid of Processing Cells", CECS TR 22-03, posted on January 2, 2023
TR 22-02
Vivek Govindasamy, Rainer Dömer, "Mapping of an APNG Encoder to the Grid of Processing Cells Architecture", CECS TR 22-02, posted on January 2, 2023
2022
Xiaowu Sun, Yasser Shoukry: NNSynth: Neural Network Guided Abstraction-Based Controller Synthesis for Stochastic Systems. CDC 2022: 2905-2910, December 6-9, 2022, Cancun, Mexico Ulices Santa Cruz, James Ferlez, Yasser Shoukry: Safe-by-Repair: A Convex Optimization...
CECS Seminar
Title: Self-Aware Polymorphic Architecture (SAPA) Systems Speaker: Prof. Michel Kinsy, Arizona State University (ASU) Date and Time: Thursday, January 19th, 11:00am Location: EH 2430 View Details
2022 MECPS Symposium
Event: 2022 MECPS Symposium Date: Friday, December 9, 2022 Time: 9:00am – 1:30pm Location: ISEB Auditorium View Details
CECS Seminar
Title: Programmability, Scalability, and Security for Reconfigurable Computing in the Cloud Speaker: Prof. Deming Chen, University of Illinois at Urbana-Champaign (UIUC) Date and Time: Thursday, November 3rd, 3:00 pm Location: EH 2430 or Zoom Link View Details...
International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies
Radhit Dedania, Sang-Woo Jun (2022). Very low power high-frequency floating point fpga pid controller. In International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, pp 102-107.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design
Sizhe Zhang, Mohsen Imani, Xun Jiao (2022). Scalehd: robust brain-inspired hyperdimensional computing via adapative scaling. In Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, pp. 1-9.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design
Yang Ni, Nicholas Lesica, Fan-Gang Zeng, Mohsen Imani (2022). Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing. In Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, pp. 1-9