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Researcher
Pouya Houshmand
- Disciplines:Machine learning and decision making
Affiliations
- Electronic Circuits and Systems (ECS) (Division)
Member
From1 Aug 2020 → Today - ESAT - MICAS, Microelectronics and Sensors (Division)
Member
From1 Oct 2019 → 31 Jul 2020
Projects
1 - 1 of 1
- Adaptive hardware for conditional neural networks with emerging technologiesFrom23 Sep 2019 → 23 Sep 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 5 of 5
- A 16nm 128kB high-density fully digital In Memory Compute macro with reverse SRAM pre-charge achieving 0.36TOPs/mm2, 256kB/mm2 and 23. 8TOPs/W(2023)
Authors: Pouya Houshmand, Marian Verhelst, Wim Dehaene
Pages: 409 - 412 - Stream: A Modeling Framework for Fine-grained Layer Fusion on Multi-core DNN Accelerators(2023)
Authors: Arne Symons, Linyan Mei, Pouya Houshmand, Marian Verhelst
Pages: 355 - 357Number of pages: 3 - DIANA: An End-to-End Energy-Efficient Digital and ANAlog Hybrid Neural Network SoC(2022)
Authors: Kodai Ueyoshi, Pouya Houshmand, Giuseppe Sarda, Vikram Jain, Marian Verhelst
Number of pages: 3 - Hardware-Efficient Residual Neural Network Execution in Line-Buffer Depth-First Processing(2021)
Authors: Pouya Houshmand, Linyan Mei, Marian Verhelst
Pages: 690 - 700 - ZigZag: Enlarging Joint Architecture-Mapping Design Space Exploration for DNN Accelerators(2021)
Authors: Linyan Mei, Pouya Houshmand, Vikram Jain, Marian Verhelst
Pages: 1160 - 1174